tool for research

Top 21 must-have digital tools for researchers

Last updated

12 May 2023

Reviewed by

Jean Kaluza

Research drives many decisions across various industries, including:

Uncovering customer motivations and behaviors to design better products

Assessing whether a market exists for your product or service

Running clinical studies to develop a medical breakthrough

Conducting effective and shareable research can be a painstaking process. Manual processes are sluggish and archaic, and they can also be inaccurate. That’s where advanced online tools can help. 

The right tools can enable businesses to lean into research for better forecasting, planning, and more reliable decisions. 

• Why do researchers need research tools?

Research is challenging and time-consuming. Analyzing data , running focus groups , reading research papers , and looking for useful insights take plenty of heavy lifting. 

These days, researchers can’t just rely on manual processes. Instead, they’re using advanced tools that:

Speed up the research process

Enable new ways of reaching customers

Improve organization and accuracy

Allow better monitoring throughout the process

Enhance collaboration across key stakeholders

• The most important digital tools for researchers

Some tools can help at every stage, making researching simpler and faster.

They ensure accurate and efficient information collection, management, referencing, and analysis. 

Some of the most important digital tools for researchers include:

Research management tools

Research management can be a complex and challenging process. Some tools address the various challenges that arise when referencing and managing papers. 

.css-10ptwjf{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;background:transparent;border:0;color:inherit;cursor:pointer;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;-webkit-text-decoration:underline;text-decoration:underline;}.css-10ptwjf:disabled{opacity:0.6;pointer-events:none;} Zotero

Coined as a personal research assistant, Zotero is a tool that brings efficiency to the research process. Zotero helps researchers collect, organize, annotate, and share research easily. 

Zotero integrates with internet browsers, so researchers can easily save an article, publication, or research study on the platform for later. 

The tool also has an advanced organizing system to allow users to label, tag, and categorize information for faster insights and a seamless analysis process. 

Messy paper stacks––digital or physical––are a thing of the past with Paperpile. This reference management tool integrates with Google Docs, saving users time with citations and paper management. 

Referencing, researching, and gaining insights is much cleaner and more productive, as all papers are in the same place. Plus, it’s easier to find a paper when you need it. 

Acting as a single source of truth (SSOT), Dovetail houses research from the entire organization in a simple-to-use place. Researchers can use the all-in-one platform to collate and store data from interviews , forms, surveys , focus groups, and more. 

Dovetail helps users quickly categorize and analyze data to uncover truly actionable insights . This helps organizations bring customer insights into every decision for better forecasting, planning, and decision-making. 

Dovetail integrates with other helpful tools like ​Slack, Atlassian, Notion, and Zapier for a truly efficient workflow.

Putting together papers and referencing sources can be a huge time consumer. EndNote claims that researchers waste 200,000 hours per year formatting citations. 

To address the issue, the tool formats citations automatically––simultaneously creating a bibliography while the user writes. 

EndNote is also a cloud-based system that allows remote working, multiple-user interaction and collaboration, and seamless working on different devices. 

Information survey tools

Surveys are a common way to gain data from customers. These tools can make the process simpler and more cost-effective. 

With ready-made survey templates––to collect NPS data, customer effort scores , five-star surveys, and more––getting going with Delighted is straightforward. 

Delighted helps teams collect and analyze survey feedback without needing any technical knowledge. The templates are customizable, so you can align the content with your brand. That way, the survey feels like it’s coming from your company, not a third party. 

SurveyMonkey

With millions of customers worldwide, SurveyMonkey is another leader in online surveys. SurveyMonkey offers hundreds of templates that researchers can use to set up and deploy surveys quickly. 

Whether your survey is about team performance, hotel feedback, post-event feedback, or an employee exit, SurveyMonkey has a ready-to-use template. 

Typeform offers free templates you can quickly embed, which comes with a point of difference: It designs forms and surveys with people in mind, focusing on customer enjoyment. 

Typeform employs the ‘one question at a time’ method to keep engagement rates and completions high. It focuses on surveys that feel more like conversations than a list of questions.

Web data analysis tools

Collecting data can take time––especially technical information. Some tools make that process simpler. 

For those conducting clinical research, data collection can be incredibly time-consuming. Teamscope provides an online platform to collect and manage data simply and easily. 

Researchers and medical professionals often collect clinical data through paper forms or digital means. Those are too easy to lose, tricky to manage, and challenging to collaborate on. 

With Teamscope, you can easily collect, store, and electronically analyze data like patient-reported outcomes and surveys. 

Heap is a digital insights platform providing context on the entire customer journey . This helps businesses improve customer feedback , conversion rates, and loyalty. 

Through Heap, you can seamlessly view and analyze the customer journey across all platforms and touchpoints, whether through the app or website. 

Another analytics tool, Smartlook, combines quantitative and qualitative analytics into one platform. This helps organizations understand user behavior and make crucial improvements. 

Smartlook is useful for analyzing web pages, purchasing flows, and optimizing conversion rates. 

Project management tools

Managing multiple research projects across many teams can be complex and challenging. Project management tools can ease the burden on researchers. 

Visual productivity tool Trello helps research teams manage their projects more efficiently. Trello makes product tracking easier with:

A range of workflow options

Unique project board layouts

Advanced descriptions

Integrations

Trello also works as an SSOT to stay on top of projects and collaborate effectively as a team. 

To connect research, workflows, and teams, Airtable provides a clean interactive interface. 

With Airtable, it’s simple to place research projects in a list view, workstream, or road map to synthesize information and quickly collaborate. The Sync feature makes it easy to link all your research data to one place for faster action. 

For product teams, Asana gathers development, copywriting, design, research teams, and product managers in one space. 

As a task management platform, Asana offers all the expected features and more, including time-tracking and Jira integration. The platform offers reporting alongside data collection methods , so it’s a favorite for product teams in the tech space.

Grammar checker tools

Grammar tools ensure your research projects are professional and proofed. 

No one’s perfect, especially when it comes to spelling, punctuation, and grammar. That’s where Grammarly can help. 

Grammarly’s AI-powered platform reviews your content and corrects any mistakes. Through helpful integrations with other platforms––such as Gmail, Google Docs, Twitter, and LinkedIn––it’s simple to spellcheck as you go. 

Another helpful grammar tool is Trinka AI. Trinka is specifically for technical and academic styles of writing. It doesn’t just correct mistakes in spelling, punctuation, and grammar; it also offers explanations and additional information when errors show. 

Researchers can also use Trinka to enhance their writing and:

Align it with technical and academic styles

Improve areas like syntax and word choice

Discover relevant suggestions based on the content topic

Plagiarism checker tools

Avoiding plagiarism is crucial for the integrity of research. Using checker tools can ensure your work is original. 

Plagiarism checker Quetext uses DeepSearch™ technology to quickly sort through online content to search for signs of plagiarism. 

With color coding, annotations, and an overall score, it’s easy to identify conflict areas and fix them accordingly. 

Duplichecker

Another helpful plagiarism tool is Duplichecker, which scans pieces of content for issues. The service is free for content up to 1000 words, with paid options available after that. 

If plagiarism occurs, a percentage identifies how much is duplicate content. However, the interface is relatively basic, offering little additional information.  

Journal finder tools

Finding the right journals for your project can be challenging––especially with the plethora of inaccurate or predatory content online. Journal finder tools can solve this issue. 

Enago Journal Finder

The Enago Open Access Journal Finder sorts through online journals to verify their legitimacy. Through Engao, you can discover pre-vetted, high-quality journals through a validated journal index. 

Enago’s search tool also helps users find relevant journals for their subject matter, speeding up the research process. 

JournalFinder

JournalFinder is another journal tool that’s popular with academics and researchers. It makes the process of discovering relevant journals fast by leaning into a machine-learning algorithm.

This is useful for discovering key information and finding the right journals to publish and share your work in. 

Social networking for researchers

Collaboration between researchers can improve the accuracy and sharing of information. Promoting research findings can also be essential for public health, safety, and more. 

While typical social networks exist, some are specifically designed for academics.

ResearchGate

Networking platform ResearchGate encourages researchers to connect, collaborate, and share within the scientific community. With 20 million researchers on the platform, it's a popular choice. 

ResearchGate is founded on an intention to advance research. The platform provides topic pages for easy connection within a field of expertise and access to millions of publications to help users stay up to date. 

Academia is another commonly used platform that connects 220 million academics and researchers within their specialties. 

The platform aims to accelerate research with discovery tools and grow a researcher’s audience to promote their ideas. 

On Academia, users can access 47 million PDFs for free. They cover topics from mechanical engineering to applied economics and child psychology. 

• Expedited research with the power of tools

For researchers, finding data and information can be time-consuming and complex to manage. That’s where the power of tools comes in. 

Manual processes are slow, outdated, and have a larger potential for inaccuracies. 

Leaning into tools can help researchers speed up their processes, conduct efficient research, boost their accuracy, and share their work effectively. 

With tools available for project and data management, web data collection, and journal finding, researchers have plenty of assistance at their disposal.

When it comes to connecting with customers, advanced tools boost customer connection while continually bringing their needs and wants into products and services.

What are primary research tools?

Primary research is data and information that you collect firsthand through surveys, customer interviews, or focus groups. 

Secondary research is data and information from other sources, such as journals, research bodies, or online content. 

Primary researcher tools use methods like surveys and customer interviews. You can use these tools to collect, store, or manage information effectively and uncover more accurate insights. 

What is the difference between tools and methods in research?

Research methods relate to how researchers gather information and data. 

For example, surveys, focus groups, customer interviews, and A/B testing are research methods that gather information. 

On the other hand, tools assist areas of research. Researchers may use tools to more efficiently gather data, store data securely, or uncover insights. 

Tools can improve research methods, ensuring efficiency and accuracy while reducing complexity.

Should you be using a customer insights hub?

Do you want to discover previous research faster?

Do you share your research findings with others?

Do you analyze research data?

Start for free today, add your research, and get to key insights faster

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Top 13 Tools for Researchers in 2024!

Gone are the days of going to the library, studying numerous books, taking notes on paper, and doing research. Thanks to technology, we no longer have to do this tedious routine to do research. However, research is still a meticulous, painstaking process.

This is why we decided to uncover some of the best software tools for researchers that are going to help you conduct and maintain your research with ease. Read on…

List of Top 13 Best Tools for Researchers for better results:

Research today is dynamic. We often use the internet to browse websites, watch videos, study analytics, and conduct our research by exploring different types of digital content, making technology a major stakeholder in making our research success .

While the internet has made it easy for us to access worldly information with the click of a button (or mouse!), it has created a whole new set of problems.

Sorting through a seemingly infinite number of websites, verifying content, and curating only the best stuff can take a lot of time and effort. This is why we have brought you 13 essential research tools every researcher should use while working on the internet.

1. Bit.ai  

Online research means going through numerous websites, articles, blogs, images, videos, infographics, and more to find what you are looking for.

For our dynamic, interactive, and media-rich research, we need a tool that incorporates all facets of modern-day research under one roof. Simple text editors of the past just won’t cut it anymore! This is where Bit comes in.

Bit allows researchers and teams to collaborate, share, track, and manage all knowledge and research in one place.

It’s the perfect research tool to share multi-dimensional research with your peers and not just plain, boring text and slides.

Add articles, PDFs, videos, white papers, ebooks, audio samples- basically anything you can think of – and share it with your peers easily!

Other notable features of Bit include:

• An easy-to-use, minimal editor that supports Markdown.
• Collaborative, real-time editing, and communication with peers.
• Add any type of digital content (images, videos, etc) to your Bit document.
• A content library to save all your media files for quick access.
• Smart search, allows anyone to search and find any files, images, documents, links, etc quickly.

All-in-all, Bit is a must-have writing tool for researchers and authors!

Key Features of Bit: 

• Workspaces to store different research content easily
• Content library to store media assets
• Real-time collaboration with fellow researchers
• Free with limited functionality
• Paid plans start from Pro ($8/month), Business ($15/month), Enterprise (contact sales)

Read more:  How Bit.ai Can Help You Manage Your Academic Research?

2. elink.io

Research often involves going through hundreds of links and articles and compiling them in one safe space for future reference or publishing them for your audience.

This is why many researchers use bookmarking and curation tools like elink to quickly save their links under one roof and share them with their peers.

elink makes it easy for researchers to save content from around the web. They can save article links, videos, cloud files, social media posts, and much more!

Researchers have the option of saving content to their link library or adding them directly to content collections and sharing their research with their peers . To make the bookmarking process a breeze, elink also has a chrome extension .

Simply click on the extension or right-click on any webpage to save the content directly to your elink dashboard.

Researchers can edit the title and description to add their own voices or notes. They can even bundle links together and share their link collection with others as a newsletter or embed the collection on your blog/website!

Key Features of elink:

• Save links quickly using the chrome extension
• Create and share research links as a newsletter or embed it on your website
• Easy user-interface
• Paid plans start at Pro Monthly ($15/month), Pro 1 Year ($12/month), and Pro 2 years ($10/month).

3. GanttPRO

No matter what kind of research you do, you need to organize, plan, and stay focused on all of your activities.

Without a robust planning tool, researchers may fall behind the schedule and lose their progress.

GanttPRO project and task management tool makes it easy for single researchers and groups of any size to plan their tasks on a visually appealing Gantt chart timeline, follow their progress, and all the deadlines.

GanttPRO allows researchers to create a limitless number of tasks, groups of tasks, and subtasks on one timeline.

Besides, it’s a perfect planning tool for assigning tasks to your fellow researchers or creating virtual resources, whoever or whatever they may be. The software is a good choice for collaboration, time tracking, as well as sharing and exporting your schedules.

Key Features of GanttPRO:

• Dozens of ready-made templates.
• Real-time collaboration with fellow researchers.
• Elegant user interface with a short learning curve.
•   Free 14-day trial with all features available.
• Paid plans start from Team ($4.5/user/month), Individual ($15/month), Enterprise (contact sales).

4. Grammarly

Research work often involves hours of proofreading and spellchecking to make your research professional .

Grammarly, a writing enhancement tool will save you a ton of time and effort doing this dreaded task! Apart from basic spellchecking and corrections, Grammarly includes a grammar checker, a punctuation checker, a vocabulary enhancer, and even a plagiarism checker tool!

This awesome tool scans your research for more than 250 types of grammar mistakes in six distinct writing genres and leaves you with error-free writing. With thorough explanations for all your errors and weekly progress reports .

Grammarly is a must-have tool for researchers. It’s available as a browser extension, a desktop app, a web-based app, and a Microsoft add-in. Many of the Grammarly alternatives are also available in the market that is equally good.

Key Features of Grammarly: 

• Works with the majority of online tools like Word, Slack, etc.
• Plagiarism checker tool
• Tone detector
• Paid plans start from: Premium ($11.66/month), Business ($12.50/month)

Read more:   10 Best Writing Apps To Make You A Better Writer!

5. Typeset.io

With over 100,000+ verified journal formats to choose from, Typeform makes the process of research a bit too easy! Quickly copy-paste or upload your paper on Typeset and follow any citation style you need.

Typeset also has a plagiarism and grammar checker built in to ensure your writing is error-free. Once done uploading and citing, click on autoformat to generate your report in seconds.

You can also download your research in PDF , Docx, LaTeX file, or even as a Zip file. With collaboration features built-in, you can invite your fellow researchers to the platform and work together.

Key Features of Typeset: 

• Over 100,000+ journal formats to choose from
• Plagiarism and grammar checker tool
• Editing services to improve your publication chances
• Paid plans start from: Researcher ($8/month), Team($6/month), Journals / Publishers (contact sales)

6. Scrivener

Scrivener is another great tool for research writing and keeping your notes organized.

Used by researchers, screenwriters, novelists, non-fiction writers, students, journalists, academics, lawyers, translators, and more, Scrivener is a tool made for long writing projects.

On signing up, you are quickly presented with its editor, with a sidebar to keep everything in place. You can also break your content into manageable sections of any size and leave Scrivener to join them together.

For novelists and storytellers, there’s also a corkboard to visualize your storyline and move cards around as you like.

The outliner keeps a synopsis of what you have already written, along with word count data and metadata. Users can arrange their research articles and other files in folders and subfolders.

Key Features of Scrivener: 

• Desktop and mobile apps
• Outline creator
• Easy organization
• Paid plans start from $40.84/one-time fee

7. ProofHub

You must organize, prepare, and stay focused on all of your efforts, regardless of the type of research you conduct.

Researchers may go behind schedule and lose progress if they don’t have a good task management tool. ProofHub is an all-in-one project and team management application that allows research teams and organizations of any size to efficiently plan their research projects in one spot.

ProofHub allows you to create, assign and track tasks using effective task management features like Kanban boards and table view. Researchers can also get a visual idea of how their project is progressing using robust Gantt charts.

ProofHub also allows you to store and jot down all the data or information collected through your research in Notes. You can even create different notebooks and store your information according to the topic. Not just that, you can even share your research work with your team members.

Teams can also share and store files, documents, and images in ProofHub’s files section. Managers can track their team’s time spent on a specific research task using automatic and manual timers.

Team members can also brainstorm ideas or have real-time discussions in ProofHub’s discussions section and make way for better research work. 

Key features of ProofHub:

• Ready to use project templates
• Task management
• Time tracking and project reporting
• Team collaboration (chat, notes, and discussions)
• File management
• Online proofing
• 14-day free trial with all the features.

8. Google Scholar

Next up is an amazing research tool by Google called Google Scholar. Google Scholar provides a quick way to broadly search for scholarly literature from one location.

Look for articles, theses, books, abstracts, and court opinions, from professional societies, online repositories, universities, academic publishers, and other websites.

Researchers can also explore related works, citations, authors, and publications easily. Create a public author profile and see who’s citing your recent publication. Google Scholar also allows its users to keep up with recent developments in any area of research.

Key Features of Google Scholar: 

• Create a public author page
• Look for information across Google’s database
• Easy to use
• Free to use

Endnote wants you to research smarter by simplifying the tiresome work of formatting bibliographies, finding full text, and searching for references.

Endnote is collaborative in nature as it allows you to share selected groups of references, manage team access, and track activity and changes from one single dashboard.

With smarter insights, Endnote automatically finds the impact of your references and finds the best-fit journal for your papers.

The platform also enables users to automatically create, format, and update bibliographies. Quickly export your references and full-text PDFs into EndNote and start working instantly.

With a bunch of EndNote templates and plug-ins, researchers can enhance their Endnote experience and get the most out of the platform.

Key Features of Endnote: 

• Import filters for prior research
• Track your teammates’ activity on your shared library
• Automatic reference and link updating
• Paid plans start from $249

10. Evernote

Evernote is a note-taking app that can be very useful while conducting research . The app helps you store all your personal ideas, to-do listsm4, notes, and research links in one place.

Create separate tags and folders for the different types of information you are saving and keep it all organized.

Evernote auto-syncs across all your devices, including desktop, smartphone, and tablet, so you can switch between devices without losing your data.

Its Chrome browser extension called the Evernote web clipper is a great add-on for saving articles or other content on the internet while doing your research.

Just click the browser extension to save the entire page or highlights to your Evernote notebook along with any notes you have about that page.

Key Features of Evernote: 

• Keep notes, articles, and other content in one place
• Chrome extension for clipping content
• Set reminders
• Paid plans start from Plus ($34.99 per year or $3.99 per month), Premium ($69.99 per year or $7.99 per month), and Evernote Business (contact sales)

11. Mendeley

Mendeley is a reference management software that allows researchers to create references, citations, and bibliographies in multiple journal styles with just a few clicks.

Quickly access your library from anywhere – from anywhere. Windows, Mac, Linux, etc and add papers directly from your browser with a few clicks or import any documents from your desktop to your library.

With its research network, researchers connect and network with over 6 million users. Users can create groups to carry out discussions, discover research, and follow curated bibliographies.

There are also over 250,000 + science, technology, and health jobs to advance your career and grant info from over 5000 organizations to fund your next research !

Key Features of Mendeley: 

• Annotate and organize documents
• Find and create groups with fellow researchers
• Grant information from over 5000 organizations
• Paid plans start from $55/year for 5 GB to $165/year to unlimited storage

12. ContentMine

ContentMine offers a variety of text mining services to help researchers find, download, analyze, and extract knowledge from academic papers.

ContentMine builds its own open-source code to help out researchers find papers and not waste time on the internet doing so. They can also convert academic papers , PDFs to HTML, or to almost any format.

ContentMine can also extract data from tables and graphs, reducing the time taken to conduct a meta-analysis. The platform also offers consultancy as well as training workshops to educate people on the work they do and how.

Key Features of ContentMine: 

• Extract data from tables and graphs
• Quickly mine text from hundreds of papers
• Workshops and training
• Contact sales

13. ResearchGate

The last tool on our list of awesome tools for researchers is a platform called ResearchGate. ResearchGate gives you access to over 135 million publication pages, allowing you to stay up to date with what’s happening in your field.

With a built-in community, researchers can share their research, collaborate with peers, and discover new papers and bibliographies.

ResearchGate also provides deep analytics on who’s been reading your work and keeps track of your citations. With over 17 million users, ResearchGate is a research community to join!

Key Features of ResearchGate: 

• Share and find researchers
• Analytics to see who’s reading your work
• Citation tracking

Before you go!

Our team at  bit.ai  has created a few awesome templates to make your research process more efficient. Make sure to check them out before you go, y our team might need them!

• Case Study Template
• Research Paper Template
• Competitor Research Template
• Brainstorming Template
• SWOT Analysis Template
• White Paper Template

Final Words

There you have it folks, our list of amazing websites, apps, and software to use while conducting your research. Research is hard work- from finding and managing content to organizing and publishing- research takes a lot of time and effort.

However, with our awesome list of tools, researchers are surely going to get out the most of their time and effort and get work done more efficiently. Did we miss any awesome tool for researchers out there? Let us know by tweeting us at @bit_docs.

Further reads:

• Top 11 Code Editors for Software Developers
• Collaborative Research: Definition, Benefits & Tips!
• Best Resource Management Tools and Software
• How to Write a Research Proposal?

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About Bit.ai

Bit.ai is the essential next-gen workplace and document collaboration platform. that helps teams share knowledge by connecting any type of digital content. With this intuitive, cloud-based solution, anyone can work visually and collaborate in real-time while creating internal notes, team projects, knowledge bases, client-facing content, and more.

The smartest online Google Docs and Word alternative, Bit.ai is used in over 100 countries by professionals everywhere, from IT teams creating internal documentation and knowledge bases, to sales and marketing teams sharing client materials and client portals.

👉👉Click Here to Check out Bit.ai.

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Your personal research assistant

Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share research.

Available for Mac, Windows, Linux, and iOS

Just need to create a quick bibliography? Try ZoteroBib .

Meet Zotero.

Collect with a click..

Zotero automatically senses research as you browse the web. Need an article from JSTOR or a preprint from arXiv.org? A news story from the New York Times or a book from a library? Zotero has you covered, everywhere.

Organize your way.

Zotero helps you organize your research any way you want. You can sort items into collections and tag them with keywords. Or create saved searches that automatically fill with relevant materials as you work.

Cite in style.

Zotero instantly creates references and bibliographies for any text editor, and directly inside Word, LibreOffice, and Google Docs. With support for over 10,000 citation styles, you can format your work to match any style guide or publication.

Stay in sync.

Zotero can optionally synchronize your data across devices, keeping your files, notes, and bibliographic records seamlessly up to date. If you decide to sync, you can also always access your research from any web browser.

Collaborate freely.

Zotero lets you co-write a paper with a colleague, distribute course materials to students, or build a collaborative bibliography. You can share a Zotero library with as many people you like, at no cost.

Zotero is open source and developed by an independent, nonprofit organization that has no financial interest in your private information. With Zotero, you always stay in control of your own data.

Still not sure which program to use for your research? See why we think you should choose Zotero .

Ready to try Zotero?

A free, AI-powered research tool for scientific literature

• Vijay Govindarajan
• Means of Production

New & Improved API for Developers

Introducing semantic reader in beta.

Stay Connected With Semantic Scholar Sign Up What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

30+ Essential Software for Researchers

Are you stuck with inefficient research tools? Discover the best essential software for researchers to revolutionize your work.

But here’s the good news: online tools for researchers can turn these challenges into manageable tasks.

Table of Contents

This paradigm shift signifies the evolution of academia from a space where only the intellectually elite thrive, to a nurturing environment that promotes intellectual curiosity and learning for all.

We encourage researchers to try out the tools mentioned below to find the perfect research tool.

Essential Software for Researchers

#1. google scholar: best for scholarly literature search and keeping up-to-date with research in your field.

It helps you pinpoint where your investigation could contribute to the existing body of knowledge. Here are other academic journal discovery platforms that can help you at this stage of research .

#2. NVivo: Best for Designing and Conducting Qualitative Research

NVivo stands as a beacon of hope for qualitative researchers in the data fog. Its unique features categorize, analyze, and draw connections like a seasoned detective, unearthing meaningful insights with ease. 

Source: Lumivero

#3. Qualtrics: Best for Survey Design and Distribution

In the world of survey research, Qualtrics is your steadfast ally. It not only simplifies the process but also empowers you to glean meaningful insights from the data, adding immense value to your research. You can also check out other survey tools.

#4. SPSS: Best for Statistical Analysis and Data Interpretation

If statistical analysis is your battleground, SPSS becomes your formidable armor. This software doesn’t merely crunch numbers; it possesses the alchemical ability to transform them into comprehensible insights, making data interpretation a breeze rather than a battle. 

Source: https://www.ibm.com

#5. Tableau: Best for Data Visualization and Reporting

How much does it cost?

#6. Overleaf: Best for Collaborative Writing and LaTeX Editing

Overleaf facilitates collaboration and simplifying the editing process, making crafting complex documents less daunting and more productive. You can learn more about LaTeX tutorials here.

#7. Grammarly: Best for Checking Grammar and Improving Writing Clarity

With Grammarly at your side, you’re not just writing; you’re crafting compelling narratives. This tool helps ensure that your ideas shine brightly, unmarred by grammatical errors or unclear writing.

#8. Turnitin: Best for Plagiarism Checking and Originality Reports

With Turnitin’s cutting-edge technology, students and educators can have the confidence that their academic pursuits maintain the highest standards of integrity and authenticity. 

#9. Mendeley: Best for Discovering New Research and Collaborative Work

Source: https://www.mendeley.com

#10. Zotero: Best for Collecting, Organizing, and Citing Research Sources

Source: https://www.zotero.org

#11. Trello: Best for Research Project Management and Task Organization

#12. researchgate: best for connecting with fellow researchers and sharing publications.

This dynamic environment empowers you to stay at the forefront of knowledge and contribute to the scientific community.

#13. Notion: Best for Comprehensive Note-Taking and Project Management

With Notion, the tedious becomes straightforward, the overwhelming becomes manageable, and the complex becomes clear. It’s about getting the most out of your A-level studies, fostering a sense of achievement while making the process enjoyable. So, buckle up and let Notion revolutionize the way you work.

#14. Quillbot: Best for Paraphrasing and Improving Writing Clarity

Here are other academic writing tools you may need.

#15. Jasper AI: Best for AI-Powered Writing Assistance

Ever dreamt of having a personal writing mentor, constantly at your beck and call, simplifying the intricacies of academic writing for you? Welcome Jasper AI into your world – an exemplary writing companion that surpasses the functionalities of a typical digital assistant. 

#16. GanttPRO: Best for Project Scheduling and Time Management

Source: https://ganttpro.com

#17. Scholarcy: Best for Quick Summarization of Academic Papers

Source: https://www.scholarcy.com

#18. R Discovery: Best for Statistical Analysis and Data Visualization

Source: https://discovery.researcher.life

#19. Scopus: Best for Comprehensive Literature Search and Citation Tracking

Source: https://www.scopus.com

#20. Journal Finder: Best for Identifying the Right Journals for Publishing Your Research

Source: https://journalfinder.elsevier.com

#21. Global Journal Database: Best for Accessing Information about Various Journals

Source: https://researcher.life

#22. Citation Gecko: Best for Literature Review and Citation Network Exploration

Source: https://www.citationgecko.com

#23. OpenRefine: Best for Cleaning and Transforming Messy Data

Source: https://openrefine.org

#24. MATLAB: Best for Complex Mathematical Calculations and Data Analysis

Source: https://www.mathworks.com

#25. Amazon Drive: Best for Storing and Sharing Research Files

Source: https://www.amazon.com

#26. Otter.ai: Best for Transcription of Interviews and Meetings

Source: https://otter.ai

#27. LabView: Best for Data Acquisition and Instrument Control in Lab Environments

Source: https://www.ni.com

#28. SAS: Best for Advanced Statistical Analysis and Predictive Modeling

Source: https://www.sas.com

#29. BioRender: Best for Creating Scientific Figures and Illustrations

Source: https://www.biorender.com

#30. Slack: Best for Team Communication and Collaboration

Source: https://slack.com

#31. RStudio: Best for Statistical Computing and Graphics in R

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Educational resources and simple solutions for your research journey

Top 16 Digital Tools That Every Researcher Should Know About

Using digital tools for researchers effectively can be the difference between an average and an excellent piece of research. But today, with the long list of research tools available online, it is only natural for busy researchers to be baffled when it comes to making the right choice for specific needs. With considerations of time, cost, effectiveness and quality, there is a lot to check before you make the choice. We don’t want you to spend hours just looking for the best tools for researchers, so we’ve rounded up some of the most effective digital tools for researchers to make your life simpler.

In this comprehensive article, we have compiled a list of 16 useful online tools for researchers at various stages of the research journey. These tools will streamline your research process, help you stay organized, and provide you with easy access to the information you need. From reference management software to digital libraries, these cutting-edge tools cater to the needs of both experienced and novice researchers alike. Whether you’re working on a major research project or just starting out, this blog will help you get ahead of the curve and make your research journey a tad (we aren’t making big promises) bit easier.

Table of Contents

Why are digital tools for researchers important

Before any digital tools for researchers were introduced, academics had to rely on old-school manual methods that were typically time-consuming, labor-intensive, and also limited in scope. For instance, you had to subscribe to journals or physically visit libraries and spend hours searching and sifting through tomes before finding the most relevant information. And once that was done, the process of organizing, storing, and referencing data was another challenge you had to overcome.

In contrast, online tools for researchers offer a wealth of information and resources at your fingertips today. With the option to search and access vast amounts of knowledge with a few clicks, researchers are able to boost their efficiency and effectiveness at work.

And it’s not just limited to online tools for researchers that allow you to easily store, organize, and manage information, there are a number of tools that can help you hone your writing, check for plagiarism, find the right journal, collaborate with other researchers, and share your knowledge, ideas, and resources. The rapid development of digital tools for researchers have revolutionized the way researchers work, making way for faster innovation and more groundbreaking research.

Types of tools for researchers

There are various types of online tools for researchers to choose from. These tools can be classified into various categories such as planning and management of research projects, literature search, data collection and analysis, reference management, editing and paraphrasing, and collaboration and communication. These digital tools for researchers have revolutionized the way academics work, adding to their time, productivity and effectiveness; this in turn makes research more accessible, efficient, and collaborative. Let’s take a look at some top tools for researchers across these key stages in the researcher journey.

Reference Management Tools

Reference management tools are great time saving tools for researchers. Not only do they allow you to create a library of relevant articles, they help you format your references, detect duplicate entries and replace incomplete references, and even share articles with other researchers. Furthermore, they are also extremely useful tools for researchers when it comes to correctly linking sources and citing referenced articles.

Among the top reference management tools for researchers, Zotero, Mendeley, and EndNote are the most widely used.

Zotero has quickly become one of the must-have tools for researchers to capture and preserve high-quality publication data from various sources, including journal articles, websites, newspapers, and PDFs. Its integration with popular Word processors such as Microsoft Word, LibreOffice, and Google Docs allows you to efficiently manage citations and bibliographies as you write. The software’s built-in PDF reader enables you to identify and extract cited quotations and comments, which can be directly saved as notes. What sets Zotero apart is its advanced search feature, which enables users to perform complex searches, such as locating articles added in the last month by mentioning a specific keyword and creating auto-updating collections. Zotero can also identify retracted papers and sends out an alert when you attempt to cite a retracted paper.

Zotero follows the freemium model, where one can get 300 MB in the free version with additional storage available for a fee starting at $20/year .

An offering by Elsevier, Mendeley is among the best reference management tools for researchers that combines an intuitive, user-friendly interface with powerful organizational features. With Mendeley, you can store and manage sources, take notes, collaborate with others, and discover new research in your field. Mendeley’s PDF viewer has an excellent, easy-to-use, built-in capability with the option of editing a document simultaneously with other Mendeley users. ‘Mendeley Notebook’, a feature of Mendeley, helps you collate all your highlights and notes from multiple PDFs. ‘Mendeley Cite’, another of its features, is a citation plugin for Microsoft Word that lets you insert references and bibliographies into your document.

Mendeley is a free citation and paper management tool with up to 2 GB of cloud storage. It has a desktop application, mobile app, and Chrome browser extension, making it a top choice among tools for researchers.

Mendeley offers both a free and a premium version, where users get 2 GB in the free version and additional storage space with pricing starting at $55/year .

Endnote is one of the paid reference management tools for researchers. It allows researchers to insert citations into the text, and simultaneously creates a bibliography with its “Cite While You Write” feature in Microsoft Word. Additionally, one can align and format the article as per the target journal requirements using its “Manuscript Matcher” feature. You can also conduct large-scale literature reviews with Endnote’s powerful analysis tools. Endnote is available in the cloud and accessible anywhere, providing researchers with the flexibility to work from any location.

Endnote offers a range of pricing options, starting at $124.95/year . It is one of the must-have tools for researchers keen on saving time and energy!

Academic Writing Tools

If you are not taking advantage of academic writing tools for researchers, well, you’re missing out on a lot. The range of things academic writing tools can do for you is astonishing – language editing, abstract writing, plagiarism checking and so much more! While there are a number of online tools for reseachers that can help improve your academic writing, here are our top choices in this category that you should know about.

iThenticate

iThenticate by Turnitin is an online plagiarism checker designed specifically for researchers and academics to review their manuscripts prior to journal submission and publication. iThenticate is one of the most popular tools for researchers looking to check their writing for originality and ensure they have cited all sources appropriately.

With its advanced plagiarism detection technology, iThenticate compares a submission to an extensive database of web pages and scholarly content before producing a similarity score and report. Researchers can use this report to eliminate any inadvertent instances of plagiarism and other blunders in their research papers.

The price for an iThenticate license starts at $100 for a manuscript and is valid for multiple plagiarism checks for this single document over a year. If you need to check more than one manuscript, you can opt for an annual license at a higher price.

One of the well-known tools for researchers, Scholarcy is an innovative AI engine that helps you analyze different sections of an article, filter out the noise, and deliver a precise structured summary of the research. Scholarcy doesn’t just condense papers into referenced lay summaries, it highlights key claims and statistics mentioned in the research paper that are most useful to your work.

It also extracts all the tables and figures and links to their cited location in the text, saving researchers hours of time searching for the most relevant papers. The smart AI engine is also a great tool for researchers looking to generate lay summaries that can help promote their research to a broader audience

You can use the free Scholarcy browser extension on Chrome or Edge to create summary flashcards online or build your own personal interactive library with a subscription of $7.99 per month.

Scrivener is among the underrated tools for researchers that can help make researchers’ lives simpler if used effectively. It has a user-friendly interface that allows researchers to easily organize their research notes, documents, and outlines. Scrivener gives you three ways to organize your projects: the Binder – which lets you manage folders and text, the Outliner – which helps you outline your research before you write it, and the Corkboard – to help you plan and organize your ongoing tasks.

Scrivener also has a mobile app that syncs with your devices ensuring everything is in one place. This makes it a great option for those who want to walk around and research ideas or take notes on your phone.

Scrivener offers a free trial period, with lifetime licenses available from $63.56 for MacOS and Windows.

Paperpal is as multifaceted as a Swiss Knife and stands tall among online academic writing tools for researchers. With in-depth language and grammar checks, instant and precise academic translations, relevant subject-specific writing recommendations, and critical technical checks, its suite of tools has you covered from the first draft itself. Use the Paperpal for Word plug-in and improve your language as you write in Microsoft Word, including real-time suggestions on vocabulary and phrasing.

Turn to Paperpal for Web to enhance your content with instant checks to ensure error-free language and grammar, clarity, and readability. Choose Paperpal for Manuscript if you have a manuscript ready for submission; its comprehensive language and technical checks ensure your work meets journal guidelines by flagging problem areas that could lead to desk rejection.

The best part about Paperpal, also something that makes it different from other more generic grammar editing tools, is that it is tailored for researchers and academic writing. You can get up to 500 edits for free on Paperpal for Word and Web or enjoy unlimited support at just $99 per year. Paperpal for Manuscript gives you an edited version of your article with suggestions in track changes for just $29.

Project Management Tools

There are several online tools for researchers to manage and organize their work, including keeping track of task completion, setting deadlines, and just having everything in one place. Four tools for researchers that must be there in your productivity kit are Trello, GanttPRO, Evernote, and My Research Projects.

You can use Trello to visually organize your ideas on its boards with the help of interactive cards. These cards can be used in multiple ways – you can create lists, assign tasks, message and tag those you are collaborating with, link files, add due dates–all on the virtual “back” of the card. You can also drag cards between lists, copy cards that you use often (or rather, use the cards as templates), and send cards to other boards. Basically, you can see your entire research process on a single Trello board.

This is a useful tool for researchers involved in large collaborative projects that span the globe. Trello has a free version that offers limited features with pricing models starting at $5 a month.

GanttPRO is another tool for researchers that helps you organize your thoughts better. A Gantt chart timeline on GanttPRO is the best way to visualize tasks, know their start and end dates, and track your progress along the way. The vertical and horizontal axes in a Gantt Chart present a visual summary of how various aspects of your research project are progressing, which allows you to address specific tasks that need extra or immediate attention.

GanttPRO is hosted in the cloud, which makes is easily accessible. It offers users a free trial with the option to choose from plans starting at $7.99 per month.

A productive way to jot down notes and ideas and sort through your research materials, Evernote is one of the most popular online tools for researchers. With Evernote, you can organize your research by a simple notebook structure to keep similar notes together or creating tags and folders for specific purposes.

You can save webpages, articles, or screenshots to your Evernote notebook and use the handy multimedia feature to enhance these by adding new text, images, documents, and even audio messages captured with its inbuilt recorder. Evernote also helps you sync your notes across devices so you can manage your notes across multiple platforms.

The basic version of Evernote lets you create and save notes but has limitations on storage space. You can buy more storage by opting for a paid subscription plan, which is currently available from $5.83 a month at ongoing discounted prices.

My Research Projects

My Research Projects by Researcher.Life is designed for researchers and helps you plan, manage, and communicate your work effectively. It promises end-to-end support in transforming your research into a well-written manuscript with suggestions on suitable journals for your research and guidance on the most relevant literature to cite. You can use the comprehensive submission readiness check to ensure your manuscript meets journal guidelines, with checks for language quality, structural completeness, clarity and consistency, and mandatory declarations. You can also generate detailed article summaries to help you convey your research findings more effectively.

My Research Projects lets you check one manuscript and get a detailed report for free by subscribing to Researcher.Life. You can unlock premium checks for multiple manuscripts by upgrading to the Prime Pack for $99 a year.

Academic Search Engines

As researchers you are expected to keep up with the latest developments in your own and related research fields. Yet, with the exponential growth in research output, this is far from easy. This is what makes academic search engines invaluable to academics searching for relevant scientific information. They use keywords to help researchers find, access and read about the latest most relevant research, including peer-reviewed articles, genuine information, author home pages, and university websites.

Google Scholar, R Discovery, and Scopus are our top tools for researchers in this category.

R Discovery

R Discovery is a strong contender when it comes to the best literature search and reading tools for researchers. An AI-powered app for researchers, R Discovery boasts of an expanding library of research content that includes over 100 million research papers across 9.5 million topics and more than 32,000 journals worldwide. It uses your topics of interest to create a personalized reading feed, with suggestions on top reads, smart summaries, and other features to help you discover the right research in minutes.

This includes open access articles, preprints, and pay-walled content (accessible through institutional credentials) across all major subject areas, including biology, medicine, philosophy, political science, environmental science, social sciences, and psychology. The best part is that this app for researchers continually upgrades its features and eliminated predatory journals to ensure you have access to reliable research that works for you.

R Discovery is one of the many tools for researchers developed by Researcher.Life and is completely free to install and use. It is available on both mobile and web, allowing for streamlined reading on your preferred device.

Google Scholar

If you’re an academic, you probably have used Google Scholar sometime in your research journey. It is one of the most used tools for researchers and acts as an online search engine for academics looking for scholarly literature and relevant sources to cite. It is tailored for academics, which means you can use different keywords to look up various research articles, theses, books, and conference papers to support your research study.

Researchers can also search for authors, journals, and other titles and can even create an account to save their search results. The one drawback here though is that you will need to keep searching until you find related research, and even then you will still need to browse through these individually to find the most relevant content for your research topic.

Another popular academic search tool for researchers is Scopus, an offering by Elsevier that is very similar to Google Scholar and Microsoft Academic. The largest abstract and citation database of peer-reviewed research with over 1.7 billion cited references, Scopus houses content indexed from more than 25,000 active titles and 7,000 publishers, all carefully vetted and selected by an independent review board.

With Scopus, you can look for articles, journals, and any other sources that will help you write better research. You can also refine your literature search by filtering for author name or affiliation among others. Scopus also has analytical tools to help you visualize and compare research data – that is, you can view author, journal, and article impact metrics through the detailed research output and trends reports that Scopus provides.

Scopus works as an API that can be integrated into an institution’s repository or research information management systems. While it is free to use for non-subscribers, there is limited access to content with additional costs to access paywalled articles on this platform.

Journal Selection Tools

Given the enormous number of scholarly journals around and new ones coming up every year, it can be hard to select the best journal for your research paper. Despite its challenges, the process of finding the perfect journal, which is respected, relevant, and reliable, is one of the most critical tasks to get right for researchers. This is why good online journal finders are invaluable tools for researchers.

Elsevier’s Journal Finder tool and the Global Journal Database (GJD) are two pretty effective journal selection tools for researchers.

Journal Finder

The Journal Finder tool by Elsevier, one of the largest publishers of peer-reviewed journals across disciplines, is a great solution for authors looking to shortlist journals for their work. Just use relevant keywords, titles, or your research paper abstract to get a list of recommended Elsevier journals that publish research similar to yours.

Its intelligent machine learning algorithm uses terms specific to the corresponding research field to generate the best matches for your article. You can choose from the top of the list or sort this further using filters based on your preferences. The Journal Finder also lists journals with open-access publishing options and those that cover multidisciplinary research fields.

Elsevier can be used for free to search for journals related to your research.

Global Journal Database

The Global Journal Database, developed by Researcher.Life, comprises of more than 43,000 journals indexed in reputed public directories like Directory of Open Access Journals (DOAJ), Scopus, and Web of Science. Researchers can search for relevant journals using the title or ISSN, similar topics, research paper abstracts, and even manuscripts; the advanced AI engine will use this to generate the best journals for you.

Each journal recommendation comes with a detailed journal report that has key information about shortlisted journals, including publisher details, journal metrics, author instructions, the editorial review process, and even a list of the latest articles published. With the Global Journal Database, you can see where your preferred journal is indexed and browse its publishing history to better understand its scope. The broad journal coverage, multiple search modes, and detailed journal reports make this an exceptional tool for researchers, simplifying and speeding up the often-daunting journal selection process.

The Global Journal Database is available free with a Researcher.Life Essentials Pack subscription.

Wrapping Up

Researchers everywhere are on a quest to uncover new insights and come up with ground-breaking research. Choosing the right digital tools for researcher and using these effectively can make your journey from brainstorming to breakthroughs a smoother, easier, and faster one.

If you’re looking for a seamless transition between various tools, choose Researcher.Life, which brings together innovative solutions to accelerate and optimize each stage of your research journey. Turn to Paperpal the next time you’re perplexed by language nuances, swipe through R Discovery’s reading recommendations to keep up with the latest developments, manage your research effectively with My Research Projects, or find the right journal for your paper with the Global Journal Database. Experience Researcher.Life and its many bespoke tools for researchers.

Editage All Access is a subscription-based platform that unifies the best AI tools and services designed to speed up, simplify, and streamline every step of a researcher’s journey. The Editage All Access Pack is a one-of-a-kind subscription that unlocks full access to an AI writing assistant, literature recommender, journal finder, scientific illustration tool, and exclusive discounts on professional publication services from Editage.  

Based on 22+ years of experience in academia, Editage All Access empowers researchers to put their best research forward and move closer to success. Explore our top AI Tools pack, AI Tools + Publication Services pack, or Build Your Own Plan. Find everything a researcher needs to succeed, all in one place –  Get All Access now starting at just $14 a month !    

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Tools & Methods

The 11 best technology tools for researchers.

Research is a meticulous, painstaking process. But thanks to the help of technology ( https://www.bairesdev.com/insights/it-outsourcing-services/ ), the pain is lessened. No matter your field — whether it’s biology or computer science — there’s a tool out there to help you organize your notes, cite your sources, find important articles, connect with colleagues, and more.

Here’s a selection of 11 of the most useful ones.

This free tool wants to be “your personal research assistant.” It’s a free-to-use citation manager that helps you collect, organize, keep track of, cite, and share your research. You can also sync your research across devices, as Zotero offers integrations with browsers and Word processors.

The largest database of abstracts and citations of peer-reviewed research literature in the world, Scopus includes more than 36,000 titles. It covers subjects such as physical, life, social, and health sciences, with numerous publishers from around the world. It’s free to search for author profiles, as well as claim and update your own. Non-subscribers can also view journal rankings and metrics.

3. QuickCalcs

From GraphPad, QuickCalcs allows you to compute statistical analyses for a variety of data: categorical, continuous, statistical distributions, random numbers, and chemical and radiochemical. You’ll simply choose the category and type of calculator, enter the data, and view your results — all within your browser.

A Digital Object Identifier (DOI) is a unique code consisting of letters, numbers, and special characters assigned to articles so that others can find them online. With Zenodo, you can receive a free DOI for your research, whether it’s a paper, article, essay, blog post, and nearly anything you can think of. Using it, you can share it with a thriving online community of researchers in all kinds of fields.

EndNote is an all-in-one tool for managing your references and citations. You can share your references with teams and keep track of edits and changes, comb resources to find the right ones for you, and create and format bibliographies. The software is packed with other features, including automatic link and reference updating to keep your citations current.

6. ReadCube

Here’s a web, mobile, and desktop platform that will help you manage your research across your devices. You can find, read, and annotate materials and preserve your notes and lists on your phone, laptop, or whatever device you’re using.

7. ResearchGate

Along with offering free access to research in your field, ResearchGate enables you to connect with others in the scientific community. You can share your work and collaborate with others in the industry, as well as get feedback.

You’re also able to see statistics on the impact of your work and the audience it’s garnering, along with receiving alerts when your connections publish new work. It’s completely free to register, too.

8. Google Scholar

Google Scholar is a free search engine that indexes academic research across a wide array of disciplines and formats, including journals, books, articles, dissertations, and more. It’s free to use for everyone, whether you’re a student or simply a curious person. Some articles are also free to read, while others require a login — although you’ll still generally be able to read the abstract either way.

9. F100Prime

Find news and recommendations for articles you should read about work in your field. Along with receiving the recommendations, you’ll get a quick summary of why you should read them. You can also follow local experts and get alerts about the articles they recommend, as well as save searches and get notified when works matching your interests and criteria become available.

Run by Cornell University, arXiv is a free, open-access repository of more than 1.5 million scholarly preprints that are accessible online. It covers fields including computer science, physics, economics, mathematics, statistics, quantitative biology, quantitative finance, and electrical engineering and systems science.

11. SJ Finder

Not only can you browse more than 30,000 accredited journals with existing research through SJ Finder, but you can also receive recommendations on journals that are best suited to publishing your own articles based on keywords in your paper’s title and abstract. The platform also helps you find a community, including labs, research partners, reviewers, and more.

Instant citations, connections with others in your field, access to peer-reviewed journal articles — what could be better? Research is grueling work, but with the help of these tools, you’ll streamline the process tenfold.

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Maximize your research potential: Top 20 research tools you need to know

In today’s digital age, with a plethora of tools available at our fingertips, researchers can now collect and analyze data with greater ease and efficiency. These research tools not only save time but also provide more accurate and reliable results. In this blog post, we will explore some of the essential research tools that every researcher should have in their toolkit.

From data collection to data analysis and presentation, this blog will cover it all. So, if you’re a researcher looking to streamline your work and improve your results, keep reading to discover the must-have tools for research success.

Revolutionize your research: The top 20 must-have research tools

Research requires various tools to collect, analyze and disseminate information effectively. Some essential research tools include search engines like Google Scholar, JSTOR, and PubMed, reference management software like Zotero, Mendeley, and EndNote, statistical analysis tools like SPSS, R, and Stata, writing tools like Microsoft Word and Grammarly, and data visualization tools like Tableau and Excel.  

1. Google Scholar –  Google Scholar is a search engine for scholarly literature, including articles, theses, books, and conference papers.

2. JSTOR –  JSTOR is a digital library of academic journals, books, and primary sources.

3.PubMed – PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics.  

4. Web of Science : Web of Science is a citation index that allows you to search for articles, conference proceedings, and books across various scientific disciplines.  

5. Scopus – Scopus citation database that covers scientific, technical, medical, and social sciences literature.  

6. Zotero: Zotero is a free, open-source citation management tool that helps you organize your research sources, create bibliographies, and collaborate with others.

7. Mendeley – Mendeley is a reference management software that allows you to organize and share your research papers and collaborate with others.

8. EndNote – EndNoted is a  software tool for managing bibliographies, citations, and references on the Windows and macOS operating systems.  

9. RefWorks – RefWorks is a  web-based reference management tool that allows you to create and organize a personal database of references and generate citations and bibliographies.

10. Evernote –   Evernote is a digital notebook that allows you to capture and organize your research notes, web clippings, and documents.

11. SPSS – SPSS is a statistical software package used for data analysis, data mining, and forecasting.

12. R – R is a free, open-source software environment for statistical computing and graphics.

13. Stata – Stata is a  statistical software package that provides a suite of applications for data management and statistical analysis.

Other helpful tools for collaboration and organization include NVivo, Slack, Zoom, and Microsoft Teams. With these tools, researchers can effectively find relevant literature, manage references, analyze data, write research papers, create visual representations of data, and collaborate with peers.  

14. Excel –   Excel is spreadsheet software used for organizing, analyzing, and presenting data.

15. Tableau – Tableau is a data visualization software that allows you to create interactive visualizations and dashboards.

16. NVivo – Nviva is a software tool for qualitative research and data analysis.

17. Slack – Slack is a messaging platform for team communication and collaboration.

18. Zoom –   Zoom is a video conferencing software that allows you to conduct virtual meetings and webinars.

19. Microsoft Teams – Microsoft Teams is a collaboration platform that allows you to chat, share files, and collaborate with your team.

20. Qualtrics – Qualtrics is an online survey platform that allows researchers to design and distribute surveys, collect and analyze data, and generate reports.

Maximizing accuracy and efficiency with research tools

Research is a vital aspect of any academic discipline, and it is critical to have access to appropriate research tools to facilitate the research process. Researchers require access to various research tools and software to conduct research, analyze data, and report research findings. Some standard research tools researchers use include search engines, reference management software, statistical analysis tools, writing tools, and data visualization tools.

Specialized research tools are also available for researchers in specific fields, such as GIS software for geographers and geneticist gene sequence analysis tools. These tools help researchers organize data, collaborate with peers, and effectively present research findings.

It is crucial for researchers to choose the right tools for their research project, as these tools can significantly impact the accuracy and reliability of research findings.

Summing it up, researchers today have access to an array of essential research tools that can help simplify the research process. From data collection to analysis and presentation, these tools make research more accessible, efficient, and accurate. By leveraging these tools, researchers can improve their work and produce more high-quality research.

Written by Prasad D Wilagama

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Academic Research Tools: What they are + Top 5 Best

Academic research is a rigorous activity that requires a lot of dedication and diligence to provide great-quality results. Technology has improved how we access information by making access to information faster and more effective, so we carry out research more efficiently. 

When conducting research, you must have the best methods and tools to facilitate the process. Every researcher needs a typing assistant to review spelling, grammar, and punctuation mistakes. If your research involves data analysis, you need a statistical research tool. You’ll probably need a virtual library for consulting if it involves psychology or sociology.

What are academic research tools?

An academic research tool is a software or platform that helps researchers organize, analyze, and manage the various components of their research projects. Some examples of academic research tools include reference management software, data visualization software, and survey design tools. These tools are designed to support the various stages of the research process, from literature review and data collection to data analysis and publication.

Reference management software, such as Mendeley or Endnote, allows researchers to organize and manage their bibliographic references and citations. This can be particularly helpful for large literature reviews, as it allows researchers to easily search and access their reference library and format citations and bibliographies in various styles. Additionally, many reference management tools offer features like annotation and collaboration, so researchers can share their reference libraries with colleagues and work on them together.

Data visualization software, like Tableau or R, can help researchers to explore and understand their data. These tools allow researchers to create interactive visualizations from their data, such as charts, graphs, and maps. This can be very useful for identifying patterns and trends that might not be immediately apparent from looking at raw data. These tools also provide a way to communicate the findings from their research clearly and effectively, as visualizations can be more easily understood than raw data.

Data collection software is another important tool that can support the research process. This software can be used to design and administer surveys, collect and store data, and manage participant information. Top data collection software such as QuestionPro offers a variety of question types, such as multiple choice, rating scales, and open-ended questions. They can be used to conduct surveys online or in person. This software also provides features like skip logic, data validation, and data export, which can help to ensure data quality and facilitate analysis. Some data collection software also integrates with data visualization or statistical software, making it easy to analyze and visualize once data is collected.

Top 5 Academic Research Tools

There are endless tools for academic research that can help you in any stage of the research process, from educational search engine software and project management tools to grammar editors and reference managers. Adopting these technologies can improve the quality of academic research, regardless of the field or topic. 

From the multiple options in the market, we made a list of the best five academic research tools you can use to level up your academic research:

EndNote gives you the tools you need for searching, organizing, and sharing your research. It allows you to easily create bibliographies while writing your following paper with features like Cite While You Write. Maximize your time with features like finding full text for your references and automatically updating records.

Whether you’re on your desktop, online, or iPad, EndNote’s syncing capabilities let you access all of your references, attachments, and groups from anywhere.

Bit AI is an excellent tool for collaborating on research with your team. It’s essentially like a Google Docs but specifically made for research. You can upload and share different file formats, including PDFs, videos, white papers, etc., and then edit them together with your team.

Typeset is a great tool when it comes to writing your own research papers. You can upload all your references for simple citations and check your work for spelling errors and plagiarism. Typeset also offers features to collaborate with your teammates and get the work done together.

2. Google Scholar

Google Scholar is a classic tool that only some people know about. It’s essentially a version of the traditional Google search but focused on scientific and academic papers, journals, books, and other publications. Instead of using Google, you can use Google Scholar to eliminate the risk of citing non-credible sources.

1. QuestionPro

Most academic research, regardless of field or topic, requires data analysis so the information can have a solid foundation. Online surveys are critical to examine population samples so hypotheses can be proved or disregarded. While methods and techniques may vary, QuestionPro survey software is an excellent academic research tool for conducting online surveys.

QuestionPro’s robust suite of research tools provides you with all you need to derive research results. If someone needs a simple survey tool or a collaborative research solution, this software offers solutions in an intuitive way. The platform is simple to use intuitively, but our certification process can assist you in creating powerful surveys that minimize the risks of information bias. If needed, in the platform, you can also perform Audience Surveys . Audience gives you access to millions of possible respondents so that your segmentation sample for academic research becomes 360°.

QuestionPro also provides easy-to-setup analytical research tools to build dashboards and visualizations for all your research results. Presenting the data collected comprehensively is a crucial factor in research, making it easier for anyone to consult and cite the information.

It’s crucial to decide on the tools for data collection because research is carried out in different ways and for various purposes. Data collection aims to capture quality evidence that allows analysis to formulate convincing and credible answers to the posed questions.

With QuestionPro Education Research Solutions, you gain access to the top survey software in the market. Conduct powerful surveys with a complete set of data analytics tools to gather valuable insights. Join our community of more than 5000+ universities and colleges across the globe that already use our platform to make research of impact.

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Topic selection & proposal development, enquire now, software implementation using matlab, questionnaire designing & data analysis, chapters writing & journal papers, 12 unexplored data analysis tools for qualitative research.

Welcome to our guide on 5 lesser-known tools for studying information in a different way – specifically designed for understanding and interpreting data in qualitative research. Data analysis tools for qualitative research are specialized instruments designed to interpret non-numerical data, offering insights into patterns, themes, and relationships.

These tools enable researchers to uncover meaning from qualitative information, enhancing the depth and understanding of complex phenomena in fields such as social sciences, psychology, and humanities.

In the world of research, there are tools tailored for qualitative data analysis that can reveal hidden insights. This blog explores these tools, showcasing their unique features and advantages compared to the more commonly used quantitative analysis tools.

Whether you’re a seasoned researcher or just starting out, we aim to make these tools accessible and highlight how they can add depth and accuracy to your analysis. Join us as we uncover these innovative approaches, offering practical solutions to enhance your experience with qualitative research.

Tool 1:MAXQDA Analytics Pro

MAXQDA Analytics Pro emerges as a game-changing tool for qualitative data analysis, offering a seamless experience that goes beyond the capabilities of traditional quantitative tools.

Here’s how MAXQDA stands out in the world of qualitative research:

Advanced Coding and Text Analysis: MAXQDA empowers researchers with advanced coding features and text analysis tools, enabling the exploration of qualitative data with unprecedented depth. Its intuitive interface allows for efficient categorization and interpretation of textual information.

Intuitive Interface for Effortless Exploration: The user-friendly design of MAXQDA makes it accessible for researchers of all levels. This tool streamlines the process of exploring qualitative data, facilitating a more efficient and insightful analysis compared to traditional quantitative tools.

Uncovering Hidden Narratives: MAXQDA excels in revealing hidden narratives within qualitative data, allowing researchers to identify patterns, themes, and relationships that might be overlooked by conventional quantitative approaches. This capability adds a valuable layer to the analysis of complex phenomena.

In the landscape of qualitative data analysis tools, MAXQDA Analytics Pro is a valuable asset, providing researchers with a unique set of features that enhance the depth and precision of their analysis. Its contribution extends beyond the confines of quantitative analysis tools, making it an indispensable tool for those seeking innovative approaches to qualitative research.

Tool 2: Quirkos

Quirkos , positioned as data analysis software, shines as a transformative tool within the world of qualitative research.

Here’s why Quirkos is considered among the best for quality data analysis: Visual Approach for Enhanced Understanding: Quirkos introduces a visual approach, setting it apart from conventional analysis software. This unique feature aids researchers in easily grasping and interpreting qualitative data, promoting a more comprehensive understanding of complex information.

User-Friendly Interface: One of Quirkos’ standout features is its user-friendly interface. This makes it accessible to researchers of various skill levels, ensuring that the tool’s benefits are not limited to experienced users. Its simplicity adds to the appeal for those seeking the best quality data analysis software.

Effortless Pattern Identification: Quirkos simplifies the process of identifying patterns within qualitative data. This capability is crucial for researchers aiming to conduct in-depth analysis efficiently.

The tool’s intuitive design fosters a seamless exploration of data, making it an indispensable asset in the world of analysis software. Quirkos, recognized among the best quality data analysis software, offers a visual and user-friendly approach to qualitative research. Its ability to facilitate effortless pattern identification positions it as a valuable asset for researchers seeking optimal outcomes in their data analysis endeavors.

Tool 3: Provalis Research WordStat

Provalis Research WordStat stands out as a powerful tool within the world of qualitative data analysis tools, offering unique advantages for researchers engaged in qualitative analysis:

WordStat excels in text mining, providing researchers with a robust platform to delve into vast amounts of textual data. This capability enhances the depth of qualitative analysis, setting it apart in the landscape of tools for qualitative research.

Specializing in content analysis, WordStat facilitates the systematic examination of textual information. Researchers can uncover themes, trends, and patterns within qualitative data, contributing to a more comprehensive understanding of complex phenomena.

WordStat seamlessly integrates with qualitative research methodologies, providing a bridge between quantitative and qualitative analysis. This integration allows researchers to harness the strengths of both approaches, expanding the possibilities for nuanced insights.

In the domain of tools for qualitative research, Provalis Research WordStat emerges as a valuable asset. Its text mining capabilities, content analysis expertise, and integration with qualitative research methodologies collectively contribute to elevating the qualitative analysis experience for researchers.

Tool 4: ATLAS.ti

ATLAS.ti proves to be a cornerstone in the world of qualitative data analysis tools, offering distinctive advantages that enhance the qualitative analysis process:

Multi-Faceted Data Exploration: ATLAS.ti facilitates in-depth exploration of textual, graphical, and multimedia data. This versatility enables researchers to engage with diverse types of qualitative information, broadening the scope of analysis beyond traditional boundaries.

Collaboration and Project Management: The tool excels in fostering collaboration among researchers and project management. This collaborative aspect sets ATLAS.ti apart, making it a comprehensive solution for teams engaged in qualitative research endeavors.

User-Friendly Interface: ATLAS.ti provides a user-friendly interface, ensuring accessibility for researchers of various skill levels. This simplicity in navigation enhances the overall qualitative analysis experience, making it an effective tool for both seasoned researchers and those new to data analysis tools. In the landscape of tools for qualitative research, ATLAS.ti emerges as a valuable ally. Its multi-faceted data exploration, collaboration features, and user-friendly interface collectively contribute to enriching the qualitative analysis journey for researchers seeking a comprehensive and efficient solution.

Tool 5: NVivo Transcription

NVivo Transcription emerges as a valuable asset in the world of data analysis tools, seamlessly integrating transcription services with qualitative research methodologies:

Efficient Transcription Services: NVivo Transcription offers efficient and accurate transcription services, streamlining the process of converting spoken words into written text. This feature is essential for researchers engaged in qualitative analysis, ensuring a solid foundation for subsequent exploration.

Integration with NVivo Software: The tool seamlessly integrates with NVivo software, creating a synergistic relationship between transcription and qualitative analysis. Researchers benefit from a unified platform that simplifies the organization and analysis of qualitative data, enhancing the overall research workflow.

Comprehensive Qualitative Analysis: NVivo Transcription contributes to comprehensive qualitative analysis by providing a robust foundation for understanding and interpreting audio and video data. Researchers can uncover valuable insights within the transcribed content, enriching the qualitative analysis process.

In the landscape of tools for qualitative research, NVivo Transcription plays a crucial role in bridging the gap between transcription services and qualitative analysis. Its efficient transcription capabilities, integration with NVivo software, and support for comprehensive qualitative analysis make it a valuable tool for researchers seeking a streamlined and effective approach to handling qualitative data.

Tool 6: Dedoose

Web-Based Accessibility: Dedoose’s online platform allows PhD researchers to conduct qualitative data analysis from anywhere, promoting flexibility and collaboration.

Mixed-Methods Support: Dedoose accommodates mixed-methods research, enabling the integration of both quantitative and qualitative data for a comprehensive analysis.

Multi-Media Compatibility: The tool supports various data formats, including text, audio, and video, facilitating the analysis of diverse qualitative data types.

Collaborative Features: Dedoose fosters collaboration among researchers, providing tools for shared coding, annotation, and exploration of qualitative data.

Organized Data Management: PhD researchers benefit from Dedoose’s organizational features, streamlining the coding and retrieval of data for a more efficient analysis process.

Tool 7: HyperRESEARCH

HyperRESEARCH caters to various qualitative research methods, including content analysis and grounded theory, offering a flexible platform for PhD researchers.

The software simplifies the coding and retrieval of data, aiding researchers in organizing and analyzing qualitative information systematically.

HyperRESEARCH allows for detailed annotation of text, enhancing the depth of qualitative analysis and providing a comprehensive understanding of the data.

The tool provides features for visualizing relationships within data, aiding researchers in uncovering patterns and connections in qualitative content.

HyperRESEARCH facilitates collaborative research efforts, promoting teamwork and shared insights among PhD researchers.

Tool 8: MAXQDA Analytics Plus

Advanced Collaboration:  

MAXQDA Analytics Plus enhances collaboration for PhD researchers with teamwork support, enabling multiple researchers to work seamlessly on qualitative data analysis.

Extended Visualization Tools:  

The software offers advanced data visualization features, allowing researchers to create visual representations of qualitative data patterns for a more comprehensive understanding.

Efficient Workflow:  

MAXQDA Analytics Plus streamlines the qualitative analysis workflow, providing tools that facilitate efficient coding, categorization, and interpretation of complex textual information.

Deeper Insight Integration:  

Building upon MAXQDA Analytics Pro, MAXQDA Analytics Plus integrates additional features for a more nuanced qualitative analysis, empowering PhD researchers to gain deeper insights into their research data.

User-Friendly Interface:  

The tool maintains a user-friendly interface, ensuring accessibility for researchers of various skill levels, contributing to an effective and efficient data analysis experience.

Tool 9: QDA Miner

Versatile Data Analysis: QDA Miner supports a wide range of qualitative research methodologies, accommodating diverse data types, including text, images, and multimedia, catering to the varied needs of PhD researchers.

Coding and Annotation Tools: The software provides robust coding and annotation features, facilitating a systematic organization and analysis of qualitative data for in-depth exploration.

Visual Data Exploration: QDA Miner includes visualization tools for researchers to analyze data patterns visually, aiding in the identification of themes and relationships within qualitative content.

User-Friendly Interface: With a user-friendly interface, QDA Miner ensures accessibility for researchers at different skill levels, contributing to a seamless and efficient qualitative data analysis experience.

Comprehensive Analysis Support: QDA Miner’s features contribute to a comprehensive analysis, offering PhD researchers a tool that integrates seamlessly into their qualitative research endeavors.

Tool 10: NVivo

NVivo supports diverse qualitative research methodologies, allowing PhD researchers to analyze text, images, audio, and video data for a comprehensive understanding.

The software aids researchers in organizing and categorizing qualitative data systematically, streamlining the coding and analysis process.

NVivo seamlessly integrates with various data formats, providing a unified platform for transcription services and qualitative analysis, simplifying the overall research workflow.

NVivo offers tools for visual representation, enabling researchers to create visual models that enhance the interpretation of qualitative data patterns and relationships.

NVivo Transcription integration ensures efficient handling of audio and video data, offering PhD researchers a comprehensive solution for qualitative data analysis.

Tool 11: Weft QDA

Open-Source Affordability: Weft QDA’s open-source nature makes it an affordable option for PhD researchers on a budget, providing cost-effective access to qualitative data analysis tools.

Simplicity for Beginners: With a straightforward interface, Weft QDA is user-friendly and ideal for researchers new to qualitative data analysis, offering basic coding and text analysis features.

Ease of Use: The tool simplifies the process of coding and analyzing qualitative data, making it accessible to researchers of varying skill levels and ensuring a smooth and efficient analysis experience.

Entry-Level Solution: Weft QDA serves as a suitable entry-level option, introducing PhD researchers to the fundamentals of qualitative data analysis without overwhelming complexity.

Basic Coding Features: While being simple, Weft QDA provides essential coding features, enabling researchers to organize and explore qualitative data effectively.

Tool 12: Transana

Transana specializes in the analysis of audio and video data, making it a valuable tool for PhD researchers engaged in qualitative studies with rich multimedia content.

The software streamlines the transcription process, aiding researchers in converting spoken words into written text, providing a foundation for subsequent qualitative analysis.

Transana allows for in-depth exploration of multimedia data, facilitating coding and analysis of visual and auditory aspects crucial to certain qualitative research projects.

With tools for transcribing and coding, Transana assists PhD researchers in organizing and categorizing qualitative data, promoting a structured and systematic approach to analysis.

Researchers benefit from Transana’s capabilities to uncover valuable insights within transcribed content, enriching the qualitative analysis process with a focus on visual and auditory dimensions.

Final Thoughts

In wrapping up our journey through 5 lesser-known data analysis tools for qualitative research, it’s clear these tools bring a breath of fresh air to the world of analysis. MAXQDA Analytics Pro, Quirkos, Provalis Research WordStat, ATLAS.ti, and NVivo Transcription each offer something unique, steering away from the usual quantitative analysis tools.

They go beyond, with MAXQDA’s advanced coding, Quirkos’ visual approach, WordStat’s text mining, ATLAS.ti’s multi-faceted data exploration, and NVivo Transcription’s seamless integration.

These tools aren’t just alternatives; they are untapped resources for qualitative research. As we bid adieu to the traditional quantitative tools, these unexplored gems beckon researchers to a world where hidden narratives and patterns are waiting to be discovered.

They don’t just add to the toolbox; they redefine how we approach and understand complex phenomena. In a world where research is evolving rapidly, these tools for qualitative research stand out as beacons of innovation and efficiency.

PhDGuidance is a website that provides customized solutions for PhD researchers in the field of qualitative analysis. They offer comprehensive guidance for research topics, thesis writing, and publishing. Their team of expert consultants helps researchers conduct copious research in areas such as social sciences, humanities, and more, aiming to provide a comprehensive understanding of the research problem.

PhDGuidance offers qualitative data analysis services to help researchers study the behavior of participants and observe them to analyze for the research work. They provide both manual thematic analysis and using NVivo for data collection. They also offer customized solutions for research design, data collection, literature review, language correction, analytical tools, and techniques for both qualitative and quantitative research projects.

Frequently Asked Questions

• What is the best free qualitative data analysis software?

When it comes to free qualitative data analysis software, one standout option is RQDA. RQDA, an open-source tool, provides a user-friendly platform for coding and analyzing textual data. Its compatibility with R, a statistical computing language, adds a layer of flexibility for those familiar with programming. Another notable mention is QDA Miner Lite, offering basic qualitative analysis features at no cost. While these free tools may not match the advanced capabilities of premium software, they serve as excellent starting points for individuals or small projects with budget constraints.

2. Which software is used to Analyse qualitative data?

For a more comprehensive qualitative data analysis experience, many researchers turn to premium tools like NVivo, MAXQDA, or ATLAS.ti. NVivo, in particular, stands out due to its user-friendly interface, robust coding capabilities, and integration with various data types, including audio and visual content. MAXQDA and ATLAS.ti also offer advanced features for qualitative data analysis, providing researchers with tools to explore, code, and interpret complex qualitative information effectively.

3. How can I Analyse my qualitative data?

Analyzing qualitative data involves a systematic approach to make sense of textual, visual, or audio information. Here’s a general guide:

Data Familiarization: Understand the context and content of your data through thorough reading or viewing.

Open Coding: Begin with open coding, identifying and labeling key concepts without preconceived categories.

Axial Coding: Organize codes into broader categories, establishing connections and relationships between them.

Selective Coding: Focus on the most significant codes, creating a narrative that tells the story of your data.

Constant Comparison: Continuously compare new data with existing codes to refine categories and ensure consistency.

Use of Software: Employ qualitative data analysis software, such as NVivo or MAXQDA, to facilitate coding, organization, and interpretation.

4. Is it worth using NVivo for qualitative data analysis?

The use of NVivo for qualitative data analysis depends on the specific needs of the researcher and the scale of the project. NVivo is worth considering for its versatility, user-friendly interface, and ability to handle diverse data types. It streamlines the coding process, facilitates collaboration, and offers in-depth analytical tools. However, its cost may be a consideration for individuals or smaller research projects. Researchers with complex data sets, especially those involving multimedia content, may find NVivo’s advanced features justify the investment.

5. What are the tools used in quantitative data analysis?

Quantitative data analysis relies on tools specifically designed to handle numerical data. Some widely used tools include:

SPSS (Statistical Package for the Social Sciences): A statistical software suite that facilitates data analysis through descriptive statistics, regression analysis, and more. Excel: Widely used for basic quantitative analysis, offering functions for calculations, charts, and statistical analysis.

R and RStudio: An open-source programming language and integrated development environment used for statistical computing and graphics.

Python with Pandas and NumPy: Python is a versatile programming language, and Pandas and NumPy are libraries that provide powerful tools for data manipulation and analysis.

STATA: A software suite for data management and statistical analysis, widely used in various fields.

Hence, the choice of qualitative data analysis software depends on factors like project scale, budget, and specific requirements. Free tools like RQDA and QDA Miner Lite offer viable options for smaller projects, while premium software such as NVivo, MAXQDA, and ATLAS.ti provide advanced features for more extensive research endeavors. When it comes to quantitative data analysis, SPSS, Excel, R, Python, and STATA are among the widely used tools, each offering unique strengths for numerical data interpretation. Ultimately, the selection should align with the researcher’s goals and the nature of the data being analyzed.

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8 Must-Have Tools for Researchers in 2023 (Including AI)

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Chelsea Forsyth

A growing number of researchers are already using AI tools to improve their work exponentially.

I am referring to all kinds of academic researchers here, including:

• Computer scientists,
• statisticians,
• economists,
• and social scientists.

Among other benefits, AI allows them to analyse large amounts of data and uncover patterns and insights. In one study , AI systems were found to be 87% accurate in detecting a disease state, and 93% accurate in clearing patients. From improved accuracy and efficiency to faster results and more data points, AI is revolutionizing research across the globe and opening up exciting new opportunities.

If you want your research to stand out, there’s no substitute for hard work and hours of study. However, whether you’re a student writing a paper or a professional trying to establish yourself in your field, software tailored to your needs can make that hard work go exponentially further. From data analysis to collaboration tools, the best research tools can streamline your workflow, increase productivity, and improve the accuracy and reliability of your findings.

In this article, we'll explore the top 8 tools for researchers and explain some lesser-known tips for using them to save time and hassle in your academic or scientific endeavors.

Let AI find flaws in your research paper > Get Wordtune and find flaws in your research paper >

1. SciSpace

SciSpace — formerly Typeset — is a brilliant tool for academics and researchers who create white papers, technical documentation, or research papers. 

Created with the aim of “making science more collaborative and accessible,” SciSpace allows users to search its expansive database for papers, authors, and topics of interest. Once you’ve found sources, you can use innovative AI features such as “summarize introduction” or “dataset used” to help you quickly understand and digest complex and lengthy research papers. These features feel reliable and highly useful, providing accurate and informative answers when tested.

The homepage also promotes popular research papers, highlights the most-read journals at that point in time, and displays the trending research topics of the day, so is a great place to discover new information. Plus, SciSpace offers a fast and efficient citation generator in 2,551 different citation styles — including American Psychological Association and Modern Language Association — as well as auto-ordering citations. You can get started with SciSpace for free by heading to the website and creating an account — this offers up to 30 output previews, downloads of up to 1000 words, and 5 bibliography downloads. But if you’d prefer access to unlimited output previews, bibliographies, and downloads, you’re better off upgrading to a paid account starting at $8 a month.

2. Wordtune Read

Need to get up to speed with complex, lengthy information in a short amount of time? Then you'll love Wordtune Read . 

This AI reader summarizes long documents for you so you can digest more information faster. You can source this material however you like, whether online or from your own archives—upload a PDF, paste in a link, or simply copy text into the reader. Whichever you choose, Wordtune Read will provide you with a succinct list of easy-to-understand bullets.

Wordtune Read offers a free plan that allows you to get five pieces of content summarized each month. If you find it helpful, you can upgrade to one of the premium plans, starting at $9.99 a month. 

Visual project management tool Trello is a free web-based platform that allows you to organize ideas, tasks, and projects in an efficient and aesthetically pleasing way. It’s a perfect organization tool for people who value simplicity — and color coding.

Trello allows you to organize your projects into boards containing various lists, or “cards,” to sort your tasks onto. Within each list, you can break down each task further by adding notes or to-dos. The website describes itself as similar to a whiteboard filled with Post-it notes, where each Post-it is a task with further detail attached.

Trello is also a brilliant tool for collaborating with team members; you can share your boards, give collaborators editing access, and assign tasks and deadlines to team members. The platform also integrates with other tools, such as Google Drive. This makes it easy to access and store research data, even on your phone via the Trello mobile app .

If 10 free boards aren’t enough for you, Trello also offers premium plans—the cheapest of which starts at $5 a month.

4. GanttPRO

GanttPRO is another project management tool that can help researchers track their progress and plan upcoming tasks. It’s a little bit more in-depth than Trello; as the name suggests, it enables users to create Gantt charts as visual timelines and task lists, making it easy to keep track of deadlines and track project progress. 

Gantt charts are brilliant for helping you gain a visual overview of your project, demonstrating the relationship between task start and end dates, important project milestones, impending deadlines, and any tasks that depend on other tasks being finished before you can get started. GanttPRO also provides detailed collaboration features that enable researchers to work together more efficiently, such as assigning comments, inserting links into descriptions, attaching files, and receiving real-time notifications. For this reason, I’d recommend this tool for researchers collaborating with other academics, rather than those working alone (Trello is probably preferable in that instance).  

While it’s a little less beginner friendly than a program like Trello, GanttPRO has an extensive learning center on its website that can help researchers get familiar with all the features. 

Though you can trial it for free, GanttPRO doesn’t offer a free plan. The Basic plan costs $9.99/month for one user, or $7.99/month if split between 5 users.

5. ResearchGate

ResearchGate is a free professional network for scientists and researchers. The platform allows students or researchers to connect with other academics, ask questions, get answers related to their research, and find resources to help them in their studies. 

This tool is particularly useful for students—you can reach out directly to the author to request full texts from researchers, which is invaluable if you find a paper that could enhance your own research. You can also see where papers have been referenced in other research, which can provide a useful trail for you to follow to gain more insight into your chosen subject. In particular, ResearchGate is a great way for students or researchers to stay up-to-date with the latest research in their field. There’s even a feature that allows you to publish your research and get feedback from peers, a great tool for academics looking to improve their work.

6. Cite This For Me

Picture the situation: you’ve spent hours composing a research or academic paper and have finally finished—only to realize that all your references are in the wrong format.

Cite This For Me , an online tool that can automatically generate Harvard, APA, and MLA citations and bibliography entries, can take the struggle out of formatting citations. It’s free and simple to use—just add the relevant details of the website, book, or journal you’ve referenced and you’ll have your citation in seconds. You can then paste this into your work. It also offers a plagiarism checker, which checks your paper against billions of sources for any accidental plagiarism—though you do have to upgrade to use this feature. The website doesn’t make it extremely clear how much this costs, but it looks like a monthly payment of $6.99 or a one-off payment of $19.99 gives you access to the full version.

7. Scrivener

Scrivener might be better known as a must-have tool for writers, but it's also perfect for researchers and students. Ideal for long-form content, Scrivener works as both an outliner and word processor and makes it easy to manage and organize outlines, notes, concepts, research, documents, and your final draft—all in one interface. 

Each Scrivener project is organized as its own filing system and has three root folders: Draft, Research, and Trash. These folders are present in every project, but otherwise, you can organize them as you like. The Research folder alone is a powerful tool that can store various types of files, including text files or notes, PDFs, graphics, audio files, videos, and photos. Add an overview to each section in any folder for a simplified view of your project as a whole. 

When writing in the Draft folder, you can add outline elements to each section and move sections around with Scrivener's drag-and-drop interface, so you don't have to worry about writing your paper in chronological order. Scrivener can also sync between your Mac, Windows, or iOS devices with the help of Dropbox . 

When you’re done drafting, Scrivener makes it simple to compile the various portions of your manuscript into a single document and export it.

Scrivener costs $49 for a lifetime Windows or Mac license for a single device, though you can get 15% off if you're a student or academic. You can also test-drive it with a free 30-day trial or get it at a reduced rate of $23.99 on an iOS device . ‍

8. Google Scholar

Google Scholar is a free search engine that focuses entirely on scholarly literature and academic sources. All you need to get started to find relevant research is a Google account. 

Google Scholar is super easy to use, as its interface is similar to that of the Google search engine. There are, however, a number of useful differences. For instance, you can copy a citation in various formats, export bibliographic data, and explore related links to find, for example, publications that have cited the listed work. Another Google Scholar hack for researchers is the ability to locate an open-access version of a paid source. Below an article's title and short description are links, including "Save" and "Cite." If Google finds another version of the article, there will also be a link to "All versions." You can click this to see if there are any open-access versions of an article locked behind a paywall.

Time to start your research

Whether you need to collect and organize data with a tool like Scrivener, use Wordtune Read to summarize a lengthy source, or plan out your project on GanttPRO, there’s a tool on this list to help make your research process easier and more efficient. 

By letting AI and other tools do the repetitive work for you, you can save time while staying accurate and focusing your energy on the most important, innovative parts of your research.

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30 Tools and Resources for Academic Research

Merriam-Webster defines “research” as “careful or diligent search; studious inquiry or examination; the collecting of information about a particular subject”. It’s not easy to conduct academic research, so here we round up 30 academic tools and resources that will facilitate your research in managing, indexing, and web scraping .

Looking for data resources for your research? Find it in  70 Amazing Free Data Resources you should know, covering government, crime, health, finances, social media, journalism, real estate, etc.

10 Research Management Tools

1. marginnote.

License: Commercial

MarginNote is a powerful reading tool for learners. Whether you are a student, a teacher, a researcher, a lawyer, or someone with a curious mind to learn, MarginNote can help you quickly organize, study and manage large volumes of PDFs and EPUBs. All-in-one learning app enables you to highlight PDF and EPUB, take notes, create the mind map, review flashcards, and saves you from switching endlessly between different Apps. It is available on Mac, iPad, and iPhone.

License: Free

Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research. It is available for Mac, Windows, and Linux. It supports managing bibliographic data and related research materials (such as PDF files). Notable features include web browser integration, online syncing, generation of in-text citations, footnotes, and bibliographies, as well as integration with the word processors Microsoft Word and LibreOffice Writer.

3. RefWorks

RefWorks is a web-based commercial reference management software package. Users’ reference databases are stored online, allowing them to be accessed and updated from any computer with an internet connection. Institutional licenses allow universities to subscribe to RefWorks on behalf of all their students, faculty, and staff. Individual licenses are also available. The software enables linking from a user’s RefWorks account to electronic editions of journals to which the institution’s library subscribes.

EndNote is the industry standard software tool for publishing and managing bibliographies, citations, and references on the Windows and Macintosh desktop. EndNote X9 is the reference management software that not only frees you from the tedious work of manually collecting and curating your research materials and formatting bibliographies, but also gives you greater ease and control in coordinating with your colleagues.

5. Mendeley

Mendeley Desktop is free academic software (Windows, Mac, Linux) for organizing and sharing research papers and generating bibliographies with 1GB of free online storage to automatically back up and synchronize your library across desktop, web, and mobile.

6. Readcube

ReadCube is a desktop and browser-based program for managing, annotating, and accessing academic research articles. It can sync your entire library including notes, lists, annotations, and even highlights across all of your devices including your desktop (Mac/PC), mobile devices (iOS/Android/Kindle), or even through the Web.

Qiqqa is a free research and reference manager. Its free version supports supercharged PDF management, annotation reports, expedition, Ad-supported, and 2GB free online storage.

Docear offers a single-section user interface that allows the most comprehensive organization of your literature; a literature suite concept that combines several tools in a single application (pdf management, reference management, mind mapping, …); A recommender system that helps you to discover new literature: Docear recommends papers which are free, in full-text, instantly to download, and tailored to your information needs.

9. Paperpile

Paperpile is a web-based commercial reference management software, with a special emphasis on integration with Google Docs and Google Scholar. Parts of Paperpile are implemented as a Google Chrome browser extension

JabRef is an open-source bibliography reference manager. The native file format used by JabRef is BibTeX, the standard LaTeX bibliography format. JabRef is a desktop application that runs on the Java VM (version 8), and works equally well on Windows, Linux, and Mac OS X. Entries can be searched in external databases and BibTeX entries can be fetched from there. Example sources include arXiv, CiteseerX, Google Scholar, Medline, GVK, IEEEXplore, and Springer.

10 Reference/Index Resources

1. google scholar.

Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. It includes most peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other scholarly literature, including court opinions and patents. You can extract these academic data easily by scraping Google Scholar search results .

arXiv (pronounced “archive”) is a repository of electronic preprints (known as e-prints) approved for publication after moderation, that consists of scientific papers in the fields of mathematics, physics, astronomy, electrical engineering, computer science, quantitative biology, statistics, and quantitative finance, which can be accessed online. In many fields of mathematics and physics, almost all scientific papers are self-archived on the arXiv repository.

3. Springer

Springer Science+Business Media or Springer, part of Springer Nature, has published more than 2,900 journals and 290,000 books, which covers science, humanities, technical and medical, etc.

4. Hyper Articles en Ligne

Hyper Articles en Ligne (HAL) is an open archive where authors can deposit scholarly documents from all academic fields, run by the Centre pour la Communication Scientifique direct, which is part of the French National Centre for Scientific Research. An uploaded document does not need to have been published or even to be intended for publication. It may be posted to HAL as long as its scientific content justifies it.

MEDLINE (Medical Literature Analysis and Retrieval System Online, or MEDLARS Online) is a bibliographic database of life sciences and biomedical information. It includes bibliographic information for articles from academic journals covering medicine, nursing, pharmacy, dentistry, veterinary medicine, and health care. MEDLINE also covers much of the literature in biology and biochemistry, as well as fields such as molecular evolution.

Compiled by the United States National Library of Medicine (NLM), MEDLINE is freely available on the Internet and searchable via PubMed and NLM’s National Center for Biotechnology Information’s Entrez system.

6. ResearchGate

ResearchGate is a social networking site for scientists and researchers[3] to share papers, ask and answer questions, and find collaborators.[4] According to a study by Nature and an article in Times Higher Education, it is the largest academic social network in terms of active users.

7. CiteSeerx

Owner: Pennsylvania State University

CiteSeerx ( CiteSeer ) is a public search engine and digital library for scientific and academic papers, primarily in the fields of computer and information science. Many consider it to be the first academic paper search engine and the first automated citation indexing system. CiteSeer holds a United States patent # 6289342, titled “Autonomous citation indexing and literature browsing using citation context”.

Owner: Elsevier

Scopus is the world’s largest abstract and citation database of peer-reviewed research literature. With over 22,000 titles from more than 5,000 international publishers. You can use this free author lookup to search for any author; or, use the Author Feedback Wizard to verify your Scopus Author Profile.

9. Emerald Group Publishing

Emerald Publishing was founded in 1967, and now manages a portfolio of nearly 300 journals, more than 2,500 books, and over 1,500 teaching cases, covering the fields of management, business, education, library studies, health care, and engineering.

10. Web of Science

Owner: Clarivate Analytics (United States)

Web of Science (previously known as Web of Knowledge) is an online subscription-based scientific citation indexing service originally produced by the Institute for Scientific Information (ISI)

10 Information Collection Tools

This part divides the 10 information collection tools into 5 information survey tools and 5 data collection tools for further use.

5 Information Survey Tools

1. google forms.

Google Forms is a simple option for you if you already have a Google account. It supports menu search, a shuffle of questions for randomized order, limiting responses to once per person, custom themes, automatically generating answer suggestions when creating forms, and an “Upload file” option for users answering to share content through.

Moreover, the response can be synced in Google Drive, and users can request file uploads from individuals outside their respective companies, with the storage cap initially set at 1 GB.

2. Survey Monkey

Survey Monkey is quite a well-known name in the field but is also costing. It is a great choice for you if you want an easy user interface for basic surveys, as its free plan supports unlimited surveys, however, each survey is limited to 10 questions.

3. Survey Gizmo

SurveyGizmo can be customized to meet a wide range of data-collection demands. The free version has up to 25 question types, letting you write a survey that caters to specific needs. It also offers nearly 100 different question types that can all be customized to the user’s liking.

4. PollDaddy

PollDaddy is online survey software that allows users to embed surveys on their website or invite respondents via email. Its free version supports unlimited polls, 19 types of questions, and even adding images, videos, and content from YouTube, Flickr, Google Maps, and more.

5. LimeSurvey

LimeSurvey is an open-source survey software as a professional SaaS solution or as a self-hosted Community Edition. LimeSurvey’s professional free version provides 25 responses/month with an unlimited number of surveys, unlimited administrators, and 10 MB of upload storage.

5 Web Data Collection Tools

1. octoparse.

Octoparse is the most easy-to-use web scraping tool for people without a prior tech background. It is widely used among online sellers, marketers, researchers, and data analysts. With its intuitive interface, you can scrape web data within points and clicks. If you are looking for a one-stop data solution, Octoparse also provides a  web data service . Or you can simply follow the Octoparse user guide to scrape website data easily for free. It also provides ready-to-use web scraping templates to extract data from Amazon, eBay, Twitter, BestBuy, etc.

https://www.octoparse.com/template/email-social-media-scraper

Its free version offers unlimited pages per crawl, 10 crawlers, and up to 10,000 records per export. If the data collected is over 10,000, then you can pay $5.9 to export all the data. If you need to track the dynamic data in real time, you may want to use Octoparse’s premium feature: scheduled cloud extraction. Read its customer stories to get an idea of how web scraping enhances businesses.

2. Parsehub

Parsehub is another non-programmer-friendly desktop software for web scraping, which is available to various systems such as Windows, Mac OS X, and Linux. Its free version offers 200 pages per crawl, 5 public projects, and 14 days for data retention.

3. Docparser

Docparser converts PDF documents into structured and easy-to-handle data, which allows you to extract specific data fields from PDFs and scanned documents, convert PDF to text, PDF to JSON, PDF to XML, convert PDF tables into CSV or Excel, etc. Its starting price is $19, which includes 100 parsing credits.

Scrapy is an open-source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

Feedity automagically extracts relevant content & data from public web pages to create auto-updating RSS feeds. Instantly convert online news, articles, discussion forums, reviews, jobs, events, products, blogs, press releases, social media posts, or any other Web content into subscribable or publishable notifications. The starter version offers 20 feeds and 6 hours update interval, with a cost of $9 per month.

Final Thoughts

Hope it’s helpful for you after learning the top 30 tools for academic research. Data is becoming more and more important in today’s world, not only for academic research but also for other industries. The basic step of data analysis is data collection, so using a web scraping tool like Octoparse can really save you time and energy.

Explore topics

• # Web Scraping 185
• # Knowledge 78
• # Data Collection 40
• # Octoparse 35
• # Big Data 31
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10 free online tools for scientific research

 X min read 

As the landscape of scientific research evolves, the shift towards online tools has introduced a sea of resources that can profoundly impact the productivity and effectiveness of scientific endeavors.

The key is to identify tools that enhance your research without complicating your process.

While diving into this ocean of resources, there are several important things to look for:

• Ease of Use: Opt for tools with intuitive interfaces.
• Artificial Intelligence: Look for AI integration to automate and enhance research tasks.
• Data Security: Ensure compliance with the latest data security and privacy standards.
• Software Integration: Favor tools that offer seamless integration with existing systems.
• Accuracy: Verify that the tools provide precise and correct information.
• Free Access: Confirm that there’s a genuinely free offer, not just a trial period that requires future payment.

With these criteria in mind, let’s explore ten free online tools that could become indispensable for your scientific research.

1. Semantic Scholar

Powered by AI, Semantic Scholar is a free, nonprofit research tool that stands out for its smart search capabilities.

It sifts through millions of publications to bring you the most relevant and impactful studies, cutting down the time you’d typically spend on literature review.

With a focus on AI, Semantic Scholar offers personalized recommendations, citation summaries, and key phrase extractions that make keeping up with your field’s latest a breeze.

Visit Semantic Scholar

2. Connected Papers

Connected Papers offers a unique visual take on research, building an interactive graph that shows the connections between scientific papers.

It’s like having a bird’s-eye view of the research landscape, allowing you to trace the development of ideas and how they relate to one another. This can uncover pivotal papers that might otherwise slip through the cracks.

Visit Connected Papers

3. Scholarcy

Scholarcy is your AI-powered reading companion, making sense of complex academic papers by breaking them down into digestible summaries.

Imagine having the ability to absorb the core themes and conclusions of a dense, 30-page document in a matter of minutes. Scholarcy makes this a reality, highlighting the methodology, results, and discussions that are central to understanding the paper’s contribution to the field.

This tool is perfect for researchers who are pressed for time but need to stay ahead of the curve. With Scholarcy, you can easily grasp the essence of lengthy publications and build a knowledge base faster than ever.

Visit Scholarcy

4. Consensus

Imagine if you could quickly gauge the consensus of the scientific community on a particular topic. That’s exactly what Consensus aims to do.

Powered by the sophisticated GPT-4 model, Consensus operates as a dynamic search engine that delivers not just search results but a synthesized understanding of where the scientific agreement lies on complex subjects.

With its AI-driven analysis, it reviews multiple studies and delivers a consensus view, helping to inform your research stance.

It’s like a digital synthesis of expert opinions at your fingertips.

Visit Consensus

5. Research Rabbit

Research Rabbit is more than just a tool; it’s your research exploration partner. It helps you discover and organize literature in a personalized research landscape.

The magic of Research Rabbit lies in its ability to learn and adapt to your research behavior, suggesting not just content but also potential pathways your research could take.

It’s much like having a personal librarian who not only knows your research interests but also suggests connections you might not have considered, leading to innovative ideas and directions.

Visit Research Rabbit

6. Audemic.io

Audemic.io stands out in the digital research tools space by transforming the way we consume scientific literature. It leverages the power of audio to make research papers accessible in a format that’s perfect for the multitasking researcher.

Whether you’re commuting or running an experiment, Audemic.io ensures that you can keep up with the latest publications by listening, making the continuous learning process a seamless part of your daily routine.

Visit Audemic.io

Zotero revolutionizes the way researchers manage their references.

Zotero is a haven for anyone looking to organize their sources, offering an intuitive platform for collecting, organizing, and citing research materials. With it, you can easily create bibliographies and in-text citations in a variety of citation styles, which are essential for manuscript preparation.

Zotero holds the distinction of being the oldest tool on this list. Having stood the test of time since its inception in 2006, it proves that a tool does not require all the bells and whistles, or even AI technology, to remain relevant and useful in the fast-paced world of academic research.

Its continued popularity underscores the fact that reliability, ease of use, and a user-focused approach never go out of style.

Visit Zotero

8. Protocols.io

Protocols.io is an indispensable tool for researchers who understand that the devil is often in the details—particularly when it comes to experimental protocols. This platform allows for the creation, sharing, and collaborative refinement of protocols.

Not only does it provide a dynamic space for protocol management, but it also seamlessly integrates with SciNote —a comprehensive electronic lab notebook—allowing for an efficient transition from planning to execution.

Visit Protocols.io

9. Scite.ai

Scite.ai takes a novel approach to assessing the reliability of scientific papers.

Using a sophisticated AI, it analyzes citation contexts to provide “Smart Citations,” allowing researchers to see how a paper has been cited, and if its findings have been supported or contradicted.

This insight is crucial in gauging the impact and reliability of research findings , offering a new dimension to the citation analysis that goes beyond mere numbers.

Visit Scite.ai

10. SciNote ELN

Managing research data effectively is critical, and SciNote ELN is the online tool designed for this task.

It’s an electronic lab notebook that helps you keep your research data organized and secure. With features that support project management, team collaboration, and inventory tracking, SciNote is not just a digital notebook—it’s a central hub for managing all aspects of your research projects.

It’s designed to bring order to the complexity of research data, ensuring that every finding and experiment is documented comprehensively.

Visit SciNote ELN

Final Thoughts

In the current research landscape, these tools are more than conveniences; they’re necessities for staying current, connected, and creative in your work.

Whether you’re looking to manage data, streamline processes, or consume literature in innovative ways, the digital solutions available can significantly enhance the efficiency and impact of your research.

Each of these tools offers a unique angle on the research process, tailored to save time, foster collaboration, and enhance discovery.

By incorporating these into your workflow, you embrace a future where technology and science go hand in hand, creating a symbiosis that propels both forward.

Whether through AI-powered summaries or visual mapping of the literature, these tools embody the innovative spirit of the scientific community. By leveraging these resources, researchers can stand on the shoulders of the digital giants to reach new heights in their academic and professional pursuits.

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Top 12 Must Have Online Tools for Researchers at All Stages

Research is undoubtedly one of the most painstaking and thorough processes. Irrespective of your discipline, stage of work and career, research can be an arduous and time-consuming task. Right from browsing the library shelves and internet for literature, performing experiments, writing papers, to publishing papers, researchers are always running with the clock’s hands. No matter what your field of research, there’s an online tool out there to help you organize your notes, cite your sources, find important articles, connect with colleagues, and much more. However, with so many options available at a mouse click, it gets difficult to find a tool that delivers best results. As the search for reliable resources can be frustrating at times; we will discuss the features of 12 most recommended online tools for researchers at all stages in academia.

Table of Contents

What is the Need of Online Tools for Researchers?

Regardless of his/her research area, every researcher’s focus today is on managing various tasks, delivering productive results, utilizing time efficiently, and documenting research that is publication worthy. All these require a well-planned and organized system, which is achieved by monitoring the progress and collaboration of your projects, finding pertinent literature, writing your project proposals, reports, and articles, avoiding language errors, citing original sources, building networks, searching for journals for publication, etc. How do you plan on handling all this by yourself?—The first resort is surfing the internet to find a solution. Several online tools for researchers make this an easier task. However, with uncountable information available online, it can become a time-consuming nightmare to evaluate what works and what doesn’t.

Most Important Online Tools for Researchers

The 6 types of online tools for researchers that are essential at various stages of research are as follows:

A. Project Management Tools

Project management is a set of proven techniques for proposing, planning, implementing, managing, and evaluating projects, combined with the art of managing people. These tools are used to manage project progress, resource application, and collaboration processes. It involves creating a hierarchical task list, following up for task completion, setting deadlines, formulating plan of action, and assigning resources.

Two of the most used project management tools in academia are Trello and GanttPro.

Trello allows users to organize their ideas through the use of panels, cards, and lists. It’s an easy to access system with a simple drag and drop cards function. It allows users to list and schedule activities, establish completion times, and view progress percentages.  The user can create multiple boards for different subjects.  Additionally, Trello saves the boards in cloud as well as in user’s profile. It offers free and paid versions, depending on the user’s requirements.

2. GanttPRO

GanttPRO is an online Gantt chart program for project management that allows intuitive creation of schedules. It is a paid software which also offers free trial version.  GanttPRO allows sub-division of major tasks into minor tasks and offers cost calculation per task. While using a Gantt chart, you can immediately see all the information you need on your chart, including your team’s tasks, their sequences, deadlines, and priorities. GanttPRO is hosted in the cloud, which makes is easily accessible for every team member using any web browser.

B. Grammar Checker Tools

Grammar checker tools are used to detect grammatical, spelling, punctuation, sentence formation errors, etc.  Its purpose is to enhance the language of a paper in question. Given the need of the hour, the internet pool is overflowing with several grammar checker tools that suggest fixes and explain the nature of the suggested fixes. For knowledge to be disseminated unambiguously, it is essential that the literature is written correctly. Especially for non-native researchers, the use of grammar checker tools is a must.

Two most recommended grammar checker tools for researchers are Trinka AI and Grammarly.

1. Trinka AI

Trinka AI is the world’s first grammar and language improvement tool designed specifically for academic and technical writing. It is unique as it not only checks grammar, punctuation, and spelling, but also provides explanations for correcting errors. It offers free version that includes access to all its features. The paid version offers uninterrupted usage and higher monthly limits along with access to the add-in for MS Word. It allows you to choose between the US and the UK style to make it easily accessible for researchers all over the world.

Its custom-built features such as maintaining academic tone, providing unbiased language, concept clarity, sentence structure, and alternative word choice makes it better than most grammar checker tools. It also offers subject-specific corrections, select style guides preferences, and 20+ publication readiness checks . It provides detailed explanations as to why a correction is suggested. Furthermore, it helps researchers in reducing word count by suggesting alternatives without changing the context.

2. Grammarly

Grammarly is a popular browser application or extension developed to check grammar, punctuation , context, sentence structure, and readability. It is a real-time plagiarism detector on various platforms, including MS Word, WordPress, Facebook, etc. It is available in free and paid version. The free version offers basic spelling and grammar checks , as well as some suggestions. While the paid version offers the basic revisions and vocabulary improvement suggestions; additionally, it provides citation suggestions and can detect plagiarism.

C. Reference Management Tools

Reference management tools help in managing the literature used for research development, thus offering an alternative to a time-consuming task for researchers. These tools allow you to organize articles and their citations, share them with other researchers, detect duplicate entries, format the list of references, search and replace any reference, etc.  Furthermore, it allows researchers to correctly link and cite the works referenced in their articles.

Among many reference management tools available online, Mendeley and EndNote are two of the most widely used.

1. Mendeley

Mendeley is a freely available reference management tool to streamline your referral management workflow. It allows you to store, organize, and search all your references in just one library and generate citations. It includes citation options using various writing style guides needed as per your target journal. The program is compatible with Word (including Mac), LibreOffice, and OpenOffice. It can also be used with LaTex exporting BibTex. Furthermore, its version is also available for Android. Its feature of highlighting and annotating PDFs helps in better organization of multiple documents in one place.

EndNote is a paid reference management application, which allows researchers to insert citations into the text while simultaneously creating a bibliography with the “Cite While You Write” feature in MS Word. Additionally, it aligns and formats the article as per the requirements of the journal of interest using “Manuscript Matcher”. Furthermore, it organizes references automatically and enables sharing of work amongst remote computers.

D. Plagiarism Checkers

The academic world is riddled with plagiarism and perhaps due to the dizzying pace of publications, researchers can unknowingly fall prey to the derisive act of plagiarism.  To avoid getting your manuscript rejected and consequently affecting your image as a researcher, it is wise to run your manuscript through a plagiarism checker tool. These tools can not only help you in checking plagiarized content , but also help in identifying potential collaborations with researchers that belong to the same field.

To detect plagiarism, researchers can opt for plagiarism checker tools such as Enago’s Plagiarism Checker and Duplichecker.

1. Enago’s Plagiarism Checker

Enago’s plagiarism checker is a unique tool for quick, comprehensive, and dependable plagiarism checking, especially for research. It helps you assess the originality of a manuscript using advanced plagiarism software and provides a report highlighting areas in your text if the program recognizes existing material in it. It is easy to access with one click upload button. Furthermore, it includes an AI-based grammar check feature that checks your document for grammar errors typical to academic writing, and provides a tracked changes file that you can download and review.

In addition, its power editing mode enhances your document by correcting sentence structure, word choice, and subject-specific phrasing. Its extensive scholarly database of over 91+ billion web pages and 82+ million published articles ensures thorough plagiarism check as compared to other checkers. The tool is cost-effective with most reliable results. More importantly, a detailed interactive color-coded and plagiarism percentage report can be reviewed online and also be downloaded in PDF format if needed.

2. Duplichecker

Duplichecker offers a free version for texts of up to 1000 words and is available in paid versions for word count above 1000. It provides plagiarism percentage and highlights similar content to the list of sources. However, it does not provide detailed report. It has a limited database access as it compares your document only to Internet sources and online books. Lastly, the plagiarism report is easy to read and is downloadable in PDF and MS Word format.

E. Journal Finder

One of the common rejection factors of research journals is that the subject of the research is not within those contemplated by the journal. The journal search engines help researchers to choose the best suitable journal for publishing their research. These tools are very useful to avoid getting involved in a manuscript submission process that would be wrong from the beginning.

The two effective and reliable journal finder tools are Enago Open Access Journal Finder (Enago OAJF) and Elsevier Journal Finder (Elsevier JF).

1. Enago’s Open Access Journal Finder

Enago’s OAJF is a freely available tool that protects you from falling prey to predatory publishers. It solves issues such as journal legitimacy and reports article processing fees through a journal index validated and issued by the Directory of Open Access Journals (DOAJ). It allows you to find pre-screened and quality journals in the public domain. Enago’s exclusive search algorithm allows you to compile a concise list of journals related to your research work.

2. Elsevier Journal Finder

Elsevier Journal Finder allows you to enter the title and abstract of your article to easily find journals that are most likely suitable for your publication. It uses intelligent search technology and vocabularies specific to the corresponding research field to match your article to scientific journals.

F. Social Networking for Academics

Research advances when shared; hence, the connection and exchange of ideas between researchers is essential. To socialize, work networks are a great help that encourages collaborative effort at a distance. This makes it possible to publicize the profile of a researcher to the scientific community, as well as promote their research and establish links with other work teams across the globe.

Two most commonly used academic networks include Academia.edu and ResearchGate.

1. Academia.edu

Academia.edu is a freely accessible platform for sharing research documents and connecting with academics across the globe. As of now, over 22 million articles and about 31 million academics, professionals, researchers are active on the platform. Academia.edu’s algorithms generate about 20 million article recommendations per day. It is also possible to exchange knowledge in effective formats of video, short content, dataset, etc. You can receive notifications when you are cited and referenced, acknowledged as a co-author, and expressed gratitude for your co-operation.

2. ResearchGate

ResearchGate is also a freely available networking platform to connect scientists and make research available to everyone. Currently, there are over 20 million researchers from more than 190 countries connecting through ResearchGate to collaborate and share their work. It also allows interactive conversations with researchers on the platform.

Do you use any of the above mentioned online tools? Do you think that these online tools for researchers can significantly ease your effort? Which are some other tools you know of that you find useful for academic work? Let us know in the comments section below! You can also visit our  Q&A forum  for frequently asked questions related to different aspects of research writing and publishing answered by our team that comprises subject-matter experts, eminent researchers, and publication experts.

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9 Must-Have Online Tools for Researchers

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Research is already time-intensive work. And little tasks like formatting or citing eat up more of your time. Luckily, you can automate these tedious tasks to a large extent and focus more on actual research.

Here, we’ve rounded up all the online tools researchers should have in their arsenal—from Google Scholar to Citationsy.

1. Google Scholar

Google Scholar is perhaps the most popular tool for finding scholarly literature on a plethora of topics. The search engine makes it simple for anyone to explore academic papers, theses, case law, books, etc.

On the search results page, you can view the author name, journal title, and total citations, which can help you gauge the credibility of the paper. Similarly, you can view related articles to explore the topic in detail.

Besides helping you find relevant information, Google Scholar lets you organize articles in your library. Create labels, sort by dates, and maintain a reading list to keep up with the latest research in your field.

You can also create your Google Scholar profile to show your work on Google Scholar and track citations to your work. Although it is an excellent tool, there are alternatives to Google Scholar in case it doesn’t work for you.

Zotero describes itself as “your personal research assistant”, and we tend to agree. The tool cuts down on several monotonous tasks, like collecting research sources and adding citations.

If you have saved hundreds of information sources, finding the information you need can be difficult. Zotero solves this problem by letting you organize files into categories and assign keywords. With each saved item, you can add notes, attachments, and related material.

Zotero also simplifies the referencing by creating citations and bibliographies. Although the Zotero desktop client offers more features, the browser extension can save sources in the online library, letting you organize, tag, and cite them.

Best of all, it allows collaboration and sharing of documents. Zotero is a free, open-source project. However, you'll need to pay for storage if the 300 MB free plan doesn’t work for you.

Download: Zotero for Google Chrome | Microsoft Edge (Free, Paid)

3. ResearchGate

Although most researchers are already familiar with ResearchGate, the platform deserves a mention here. It’s a networking platform for researchers, having over 20 million accounts.

You can follow other researchers, share your work, and ask questions from domain experts. Similarly, you can showcase your research and projects to a wider audience and receive feedback. Based on your profile, ResearchGate can also help you connect with potential job opportunities.

With over 135 million pages of scholarly literature, ResearchGate helps you explore publications on various topics and follow specific projects/questions. Creating an account here is free. But, you’ll need to have an institutional email address or go through additional checks to ensure you’re a researcher.

4. Mendeley

Mendeley is much similar to Zotero, as it allows you to save papers, organize your library, and add citations in various styles.

What sets it apart though is that it has a user-friendly interface and a search engine for finding research papers. You can narrow the results down by year, journal title, author, and document type.

Directly from the search results page, you can add papers to your collection and view Open Access papers. Likewise, Mendeley Data lets you find research datasets.

Mendeley has a career section with thousands of listed vacancies—a great resource for finding technical jobs. It is available, both as a desktop application and a web-based tool (with browser extension). The free plan allows you to store 2 GB of data, after which you'll have to pay $4.99 per month or more, depending on your needs.

Download: Mendeley for Google Chrome | Firefox (Free, Paid)

5. SciSpace

If you spend hours on getting the formatting correct, SciSpace is for you. This awesome web-based editor makes it simple to write and format your research papers, thanks to the huge collection of templates.

From a single editor screen, you can write, format, add citations, check plagiarism, and insert tables. You can collaborate with other researchers directly using SciSpace.

Besides publishing tools, SciSpace can help you discover scholarly literature and has an index of over 270 million papers. So you can search for papers by topic, authors, journals, and institutions.

SciSpace has a free plan, albeit with quite limited features. So if you’re serious, you can subscribe to SciSpace for $20 per month.

6. Turnitin

Before submitting your research work, it’s necessary to run a plagiarism report and ensure the content is original.

Unless you've specific requirements about the software, Turnitin works great. It can detect plagiarism in academic work, thanks to its gigantic library of published papers.

The iThenticate service is specially designed for publishers. Using this tool, you can make adjustments to similarity criteria and view attached sources. For researchers who work in a group, it allows sharing folders.

Turnitin is a paid tool and only has an institutional license. So, you'll have to request quotes.

8. Hypothesis

Hypothesis is a Chrome extension that allows you to highlight documents and add notes. However, the main feature of this tool is the ability to collaborate seamlessly with your coworkers. You can add people to a group, share the document with them, and annotate documents.

Hypothesis is free to use. Although it looks like a simple extension, it’s one of the best tools to annotate web pages for research .

9. Citationsy

If you hate adding citations, try using Citationsy. The intuitive reference manager can add citations and references in various styles automatically. You've to only select the journal and article in the Citations section.

Whether you want to cite a journal article, book, website, or podcast, Citationsy makes it easy. You can share the bibliographies with your fellow researchers.

Citationsy costs $9.99 per month and $4.99 per month for students. It has browser extensions as well as mobile applications.

Simplify Your Research Workflow

We get it. Research ain’t an easy task. But perhaps what is more frustrating are all the little tasks that add little value. But thanks to these tools, you boost your productivity, collaborate seamlessly with your co-workers, and focus on the actual research.

In case you’ve just stepped into the field of research, there are tools to help you polish your skills as well.

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• Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

Prevent plagiarism. Run a free check.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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• 7 Data Collection Methods & Tools For Research

• Data Collection

The underlying need for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection businesses or management can deduce quality information that is a prerequisite for making informed decisions.

To improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual.

At the end of this article, you would understand why picking the best data collection method is necessary for achieving your set objective. 

Sign up on Formplus Builder to create your preferred online surveys or questionnaire for data collection. You don’t need to be tech-savvy! Start creating quality questionnaires with Formplus.

What is Data Collection?

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. It focuses on finding out all there is to a particular subject matter. Data is collected to be further subjected to hypothesis testing which seeks to explain a phenomenon.

Hypothesis testing eliminates assumptions while making a proposition from the basis of reason.

For collectors of data, there is a range of outcomes for which the data is collected. But the key purpose for which data is collected is to put a researcher in a vantage position to make predictions about future probabilities and trends.

The core forms in which data can be collected are primary and secondary data. While the former is collected by a researcher through first-hand sources, the latter is collected by an individual other than the user. 

Types of Data Collection 

Before broaching the subject of the various types of data collection. It is pertinent to note that data collection in itself falls under two broad categories; Primary data collection and secondary data collection.

Primary Data Collection

Primary data collection by definition is the gathering of raw data collected at the source. It is a process of collecting the original data collected by a researcher for a specific research purpose. It could be further analyzed into two segments; qualitative research and quantitative data collection methods. 

• Qualitative Research Method 

The qualitative research methods of data collection do not involve the collection of data that involves numbers or a need to be deduced through a mathematical calculation, rather it is based on the non-quantifiable elements like the feeling or emotion of the researcher. An example of such a method is an open-ended questionnaire.

• Quantitative Method

Quantitative methods are presented in numbers and require a mathematical calculation to deduce. An example would be the use of a questionnaire with close-ended questions to arrive at figures to be calculated Mathematically. Also, methods of correlation and regression, mean, mode and median.

Read Also: 15 Reasons to Choose Quantitative over Qualitative Research

Secondary Data Collection

Secondary data collection, on the other hand, is referred to as the gathering of second-hand data collected by an individual who is not the original user. It is the process of collecting data that is already existing, be it already published books, journals, and/or online portals. In terms of ease, it is much less expensive and easier to collect.

Your choice between Primary data collection and secondary data collection depends on the nature, scope, and area of your research as well as its aims and objectives. 

Importance of Data Collection

There are a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons; 

• Integrity of the Research

A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained.

• Reduce the likelihood of errors

The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results. 

• Decision Making

To minimize the risk of errors in decision-making, it is important that accurate data is collected so that the researcher doesn’t make uninformed decisions. 

• Save Cost and Time

Data collection saves the researcher time and funds that would otherwise be misspent without a deeper understanding of the topic or subject matter.

• To support a need for a new idea, change, and/or innovation

To prove the need for a change in the norm or the introduction of new information that will be widely accepted, it is important to collect data as evidence to support these claims.

What is a Data Collection Tool?

Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

It is important to decide on the tools for data collection because research is carried out in different ways and for different purposes. The objective behind data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the posed questions.

The objective behind data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed – Click to Tweet

The Formplus online data collection tool is perfect for gathering primary data, i.e. raw data collected from the source. You can easily get data with at least three data collection methods with our online and offline data-gathering tool. I.e Online Questionnaires , Focus Groups, and Reporting. 

In our previous articles, we’ve explained why quantitative research methods are more effective than qualitative methods . However, with the Formplus data collection tool, you can gather all types of primary data for academic, opinion or product research.

Top Data Collection Methods and Tools for Academic, Opinion, or Product Research

The following are the top 7 data collection methods for Academic, Opinion-based, or product research. Also discussed in detail are the nature, pros, and cons of each one. At the end of this segment, you will be best informed about which method best suits your research. 

An interview is a face-to-face conversation between two individuals with the sole purpose of collecting relevant information to satisfy a research purpose. Interviews are of different types namely; Structured, Semi-structured , and unstructured with each having a slight variation from the other.

Use this interview consent form template to let an interviewee give you consent to use data gotten from your interviews for investigative research purposes.

• Structured Interviews – Simply put, it is a verbally administered questionnaire. In terms of depth, it is surface level and is usually completed within a short period. For speed and efficiency, it is highly recommendable, but it lacks depth.
• Semi-structured Interviews – In this method, there subsist several key questions which cover the scope of the areas to be explored. It allows a little more leeway for the researcher to explore the subject matter.
• Unstructured Interviews – It is an in-depth interview that allows the researcher to collect a wide range of information with a purpose. An advantage of this method is the freedom it gives a researcher to combine structure with flexibility even though it is more time-consuming.
• In-depth information
• Freedom of flexibility
• Accurate data.
• Time-consuming
• Expensive to collect.

What are The Best Data Collection Tools for Interviews? 

For collecting data through interviews, here are a few tools you can use to easily collect data.

• Audio Recorder

An audio recorder is used for recording sound on disc, tape, or film. Audio information can meet the needs of a wide range of people, as well as provide alternatives to print data collection tools.

• Digital Camera

An advantage of a digital camera is that it can be used for transmitting those images to a monitor screen when the need arises.

A camcorder is used for collecting data through interviews. It provides a combination of both an audio recorder and a video camera. The data provided is qualitative in nature and allows the respondents to answer questions asked exhaustively. If you need to collect sensitive information during an interview, a camcorder might not work for you as you would need to maintain your subject’s privacy.

Want to conduct an interview for qualitative data research or a special report? Use this online interview consent form template to allow the interviewee to give their consent before you use the interview data for research or report. With premium features like e-signature, upload fields, form security, etc., Formplus Builder is the perfect tool to create your preferred online consent forms without coding experience. 

• QUESTIONNAIRES

This is the process of collecting data through an instrument consisting of a series of questions and prompts to receive a response from the individuals it is administered to. Questionnaires are designed to collect data from a group. 

For clarity, it is important to note that a questionnaire isn’t a survey, rather it forms a part of it. A survey is a process of data gathering involving a variety of data collection methods, including a questionnaire.

On a questionnaire, there are three kinds of questions used. They are; fixed-alternative, scale, and open-ended. With each of the questions tailored to the nature and scope of the research.

• Can be administered in large numbers and is cost-effective.
• It can be used to compare and contrast previous research to measure change.
• Easy to visualize and analyze.
• Questionnaires offer actionable data.
• Respondent identity is protected.
• Questionnaires can cover all areas of a topic.
• Relatively inexpensive.
• Answers may be dishonest or the respondents lose interest midway.
• Questionnaires can’t produce qualitative data.
• Questions might be left unanswered.
• Respondents may have a hidden agenda.
• Not all questions can be analyzed easily.

What are the Best Data Collection Tools for Questionnaires? 

• Formplus Online Questionnaire

Formplus lets you create powerful forms to help you collect the information you need. Formplus helps you create the online forms that you like. The Formplus online questionnaire form template to get actionable trends and measurable responses. Conduct research, optimize knowledge of your brand or just get to know an audience with this form template. The form template is fast, free and fully customizable.

• Paper Questionnaire

A paper questionnaire is a data collection tool consisting of a series of questions and/or prompts for the purpose of gathering information from respondents. Mostly designed for statistical analysis of the responses, they can also be used as a form of data collection.

By definition, data reporting is the process of gathering and submitting data to be further subjected to analysis. The key aspect of data reporting is reporting accurate data because inaccurate data reporting leads to uninformed decision-making.

• Informed decision-making.
• Easily accessible.
• Self-reported answers may be exaggerated.
• The results may be affected by bias.
• Respondents may be too shy to give out all the details.
• Inaccurate reports will lead to uninformed decisions.

What are the Best Data Collection Tools for Reporting?

Reporting tools enable you to extract and present data in charts, tables, and other visualizations so users can find useful information. You could source data for reporting from Non-Governmental Organizations (NGO) reports, newspapers, website articles, and hospital records.

• NGO Reports

Contained in NGO report is an in-depth and comprehensive report on the activities carried out by the NGO, covering areas such as business and human rights. The information contained in these reports is research-specific and forms an acceptable academic base for collecting data. NGOs often focus on development projects which are organized to promote particular causes.

Newspaper data are relatively easy to collect and are sometimes the only continuously available source of event data. Even though there is a problem of bias in newspaper data, it is still a valid tool in collecting data for Reporting.

• Website Articles

Gathering and using data contained in website articles is also another tool for data collection. Collecting data from web articles is a quicker and less expensive data collection Two major disadvantages of using this data reporting method are biases inherent in the data collection process and possible security/confidentiality concerns.

• Hospital Care records

Health care involves a diverse set of public and private data collection systems, including health surveys, administrative enrollment and billing records, and medical records, used by various entities, including hospitals, CHCs, physicians, and health plans. The data provided is clear, unbiased and accurate, but must be obtained under legal means as medical data is kept with the strictest regulations.

• EXISTING DATA

This is the introduction of new investigative questions in addition to/other than the ones originally used when the data was initially gathered. It involves adding measurement to a study or research. An example would be sourcing data from an archive.

• Accuracy is very high.
• Easily accessible information.
• Problems with evaluation.
• Difficulty in understanding.

What are the Best Data Collection Tools for Existing Data?

The concept of Existing data means that data is collected from existing sources to investigate research questions other than those for which the data were originally gathered. Tools to collect existing data include: 

• Research Journals – Unlike newspapers and magazines, research journals are intended for an academic or technical audience, not general readers. A journal is a scholarly publication containing articles written by researchers, professors, and other experts.
• Surveys – A survey is a data collection tool for gathering information from a sample population, with the intention of generalizing the results to a larger population. Surveys have a variety of purposes and can be carried out in many ways depending on the objectives to be achieved.
• OBSERVATION

This is a data collection method by which information on a phenomenon is gathered through observation. The nature of the observation could be accomplished either as a complete observer, an observer as a participant, a participant as an observer, or as a complete participant. This method is a key base for formulating a hypothesis.

• Easy to administer.
• There subsists a greater accuracy with results.
• It is a universally accepted practice.
• It diffuses the situation of the unwillingness of respondents to administer a report.
• It is appropriate for certain situations.
• Some phenomena aren’t open to observation.
• It cannot be relied upon.
• Bias may arise.
• It is expensive to administer.
• Its validity cannot be predicted accurately.

What are the Best Data Collection Tools for Observation?

Observation involves the active acquisition of information from a primary source. Observation can also involve the perception and recording of data via the use of scientific instruments. The best tools for Observation are:

• Checklists – state-specific criteria, that allow users to gather information and make judgments about what they should know in relation to the outcomes. They offer systematic ways of collecting data about specific behaviors, knowledge, and skills.
• Direct observation – This is an observational study method of collecting evaluative information. The evaluator watches the subject in his or her usual environment without altering that environment.

FOCUS GROUPS

The opposite of quantitative research which involves numerical-based data, this data collection method focuses more on qualitative research. It falls under the primary category of data based on the feelings and opinions of the respondents. This research involves asking open-ended questions to a group of individuals usually ranging from 6-10 people, to provide feedback.

• Information obtained is usually very detailed.
• Cost-effective when compared to one-on-one interviews.
• It reflects speed and efficiency in the supply of results.
• Lacking depth in covering the nitty-gritty of a subject matter.
• Bias might still be evident.
• Requires interviewer training
• The researcher has very little control over the outcome.
• A few vocal voices can drown out the rest.
• Difficulty in assembling an all-inclusive group.

What are the Best Data Collection Tools for Focus Groups?

A focus group is a data collection method that is tightly facilitated and structured around a set of questions. The purpose of the meeting is to extract from the participants’ detailed responses to these questions. The best tools for tackling Focus groups are: 

• Two-Way – One group watches another group answer the questions posed by the moderator. After listening to what the other group has to offer, the group that listens is able to facilitate more discussion and could potentially draw different conclusions .
• Dueling-Moderator – There are two moderators who play the devil’s advocate. The main positive of the dueling-moderator focus group is to facilitate new ideas by introducing new ways of thinking and varying viewpoints.
• COMBINATION RESEARCH

This method of data collection encompasses the use of innovative methods to enhance participation in both individuals and groups. Also under the primary category, it is a combination of Interviews and Focus Groups while collecting qualitative data . This method is key when addressing sensitive subjects. 

• Encourage participants to give responses.
• It stimulates a deeper connection between participants.
• The relative anonymity of respondents increases participation.
• It improves the richness of the data collected.
• It costs the most out of all the top 7.
• It’s the most time-consuming.

What are the Best Data Collection Tools for Combination Research? 

The Combination Research method involves two or more data collection methods, for instance, interviews as well as questionnaires or a combination of semi-structured telephone interviews and focus groups. The best tools for combination research are: 

• Online Survey –  The two tools combined here are online interviews and the use of questionnaires. This is a questionnaire that the target audience can complete over the Internet. It is timely, effective, and efficient. Especially since the data to be collected is quantitative in nature.
• Dual-Moderator – The two tools combined here are focus groups and structured questionnaires. The structured questionnaires give a direction as to where the research is headed while two moderators take charge of the proceedings. Whilst one ensures the focus group session progresses smoothly, the other makes sure that the topics in question are all covered. Dual-moderator focus groups typically result in a more productive session and essentially lead to an optimum collection of data.

Why Formplus is the Best Data Collection Tool

• Vast Options for Form Customization 

With Formplus, you can create your unique survey form. With options to change themes, font color, font, font type, layout, width, and more, you can create an attractive survey form. The builder also gives you as many features as possible to choose from and you do not need to be a graphic designer to create a form.

• Extensive Analytics

Form Analytics, a feature in formplus helps you view the number of respondents, unique visits, total visits, abandonment rate, and average time spent before submission. This tool eliminates the need for a manual calculation of the received data and/or responses as well as the conversion rate for your poll.

• Embed Survey Form on Your Website

Copy the link to your form and embed it as an iframe which will automatically load as your website loads, or as a popup that opens once the respondent clicks on the link. Embed the link on your Twitter page to give instant access to your followers.

• Geolocation Support

The geolocation feature on Formplus lets you ascertain where individual responses are coming. It utilises Google Maps to pinpoint the longitude and latitude of the respondent, to the nearest accuracy, along with the responses.

• Multi-Select feature

This feature helps to conserve horizontal space as it allows you to put multiple options in one field. This translates to including more information on the survey form. 

Read Also: 10 Reasons to Use Formplus for Online Data Collection

How to Use Formplus to collect online data in 7 simple steps. 

• Register or sign up on Formplus builder : Start creating your preferred questionnaire or survey by signing up with either your Google, Facebook, or Email account.

Formplus gives you a free plan with basic features you can use to collect online data. Pricing plans with vast features starts at $20 monthly, with reasonable discounts for Education and Non-Profit Organizations. 

2. Input your survey title and use the form builder choice options to start creating your surveys. 

Use the choice option fields like single select, multiple select, checkbox, radio, and image choices to create your preferred multi-choice surveys online.

3. Do you want customers to rate any of your products or services delivery? 

Use the rating to allow survey respondents rate your products or services. This is an ideal quantitative research method of collecting data. 

4. Beautify your online questionnaire with Formplus Customisation features.

• Change the theme color
• Add your brand’s logo and image to the forms
• Change the form width and layout
• Edit the submission button if you want
• Change text font color and sizes
• Do you have already made custom CSS to beautify your questionnaire? If yes, just copy and paste it to the CSS option.

5. Edit your survey questionnaire settings for your specific needs

Choose where you choose to store your files and responses. Select a submission deadline, choose a timezone, limit respondents’ responses, enable Captcha to prevent spam, and collect location data of customers.

Set an introductory message to respondents before they begin the survey, toggle the “start button” post final submission message or redirect respondents to another page when they submit their questionnaires. 

Change the Email Notifications inventory and initiate an autoresponder message to all your survey questionnaire respondents. You can also transfer your forms to other users who can become form administrators.

6. Share links to your survey questionnaire page with customers.

There’s an option to copy and share the link as “Popup” or “Embed code” The data collection tool automatically creates a QR Code for Survey Questionnaire which you can download and share as appropriate. 

Congratulations if you’ve made it to this stage. You can start sharing the link to your survey questionnaire with your customers.

7. View your Responses to the Survey Questionnaire

Toggle with the presentation of your summary from the options. Whether as a single, table or cards.

8. Allow Formplus Analytics to interpret your Survey Questionnaire Data

  With online form builder analytics, a business can determine;

• The number of times the survey questionnaire was filled
• The number of customers reached
• Abandonment Rate: The rate at which customers exit the form without submitting it.
• Conversion Rate: The percentage of customers who completed the online form
• Average time spent per visit
• Location of customers/respondents.
• The type of device used by the customer to complete the survey questionnaire.

7 Tips to Create The Best Surveys For Data Collections

•  Define the goal of your survey – Once the goal of your survey is outlined, it will aid in deciding which questions are the top priority. A clear attainable goal would, for example, mirror a clear reason as to why something is happening. e.g. “The goal of this survey is to understand why Employees are leaving an establishment.”
• Use close-ended clearly defined questions – Avoid open-ended questions and ensure you’re not suggesting your preferred answer to the respondent. If possible offer a range of answers with choice options and ratings.
• Survey outlook should be attractive and Inviting – An attractive-looking survey encourages a higher number of recipients to respond to the survey. Check out Formplus Builder for colorful options to integrate into your survey design. You could use images and videos to keep participants glued to their screens.
•   Assure Respondents about the safety of their data – You want your respondents to be assured whilst disclosing details of their personal information to you. It’s your duty to inform the respondents that the data they provide is confidential and only collected for the purpose of research.
• Ensure your survey can be completed in record time – Ideally, in a typical survey, users should be able to respond in 100 seconds. It is pertinent to note that they, the respondents, are doing you a favor. Don’t stress them. Be brief and get straight to the point.
• Do a trial survey – Preview your survey before sending out your surveys to the intended respondents. Make a trial version which you’ll send to a few individuals. Based on their responses, you can draw inferences and decide whether or not your survey is ready for the big time.
• Attach a reward upon completion for users – Give your respondents something to look forward to at the end of the survey. Think of it as a penny for their troubles. It could well be the encouragement they need to not abandon the survey midway.

Try out Formplus today . You can start making your own surveys with the Formplus online survey builder. By applying these tips, you will definitely get the most out of your online surveys.

Top Survey Templates For Data Collection 

• Customer Satisfaction Survey Template 

On the template, you can collect data to measure customer satisfaction over key areas like the commodity purchase and the level of service they received. It also gives insight as to which products the customer enjoyed, how often they buy such a product, and whether or not the customer is likely to recommend the product to a friend or acquaintance. 

• Demographic Survey Template

With this template, you would be able to measure, with accuracy, the ratio of male to female, age range, and the number of unemployed persons in a particular country as well as obtain their personal details such as names and addresses.

Respondents are also able to state their religious and political views about the country under review.

• Feedback Form Template

Contained in the template for the online feedback form is the details of a product and/or service used. Identifying this product or service and documenting how long the customer has used them.

The overall satisfaction is measured as well as the delivery of the services. The likelihood that the customer also recommends said product is also measured.

• Online Questionnaire Template

The online questionnaire template houses the respondent’s data as well as educational qualifications to collect information to be used for academic research.

Respondents can also provide their gender, race, and field of study as well as present living conditions as prerequisite data for the research study.

• Student Data Sheet Form Template 

The template is a data sheet containing all the relevant information of a student. The student’s name, home address, guardian’s name, record of attendance as well as performance in school is well represented on this template. This is a perfect data collection method to deploy for a school or an education organization.

Also included is a record for interaction with others as well as a space for a short comment on the overall performance and attitude of the student. 

• Interview Consent Form Template

This online interview consent form template allows the interviewee to sign off their consent to use the interview data for research or report to journalists. With premium features like short text fields, upload, e-signature, etc., Formplus Builder is the perfect tool to create your preferred online consent forms without coding experience.

What is the Best Data Collection Method for Qualitative Data?

Answer: Combination Research

The best data collection method for a researcher for gathering qualitative data which generally is data relying on the feelings, opinions, and beliefs of the respondents would be Combination Research.

The reason why combination research is the best fit is that it encompasses the attributes of Interviews and Focus Groups. It is also useful when gathering data that is sensitive in nature. It can be described as an all-purpose quantitative data collection method.

Above all, combination research improves the richness of data collected when compared with other data collection methods for qualitative data.

What is the Best Data Collection Method for Quantitative Research Data?

Ans: Questionnaire

The best data collection method a researcher can employ in gathering quantitative data which takes into consideration data that can be represented in numbers and figures that can be deduced mathematically is the Questionnaire.

These can be administered to a large number of respondents while saving costs. For quantitative data that may be bulky or voluminous in nature, the use of a Questionnaire makes such data easy to visualize and analyze.

Another key advantage of the Questionnaire is that it can be used to compare and contrast previous research work done to measure changes.

Technology-Enabled Data Collection Methods

There are so many diverse methods available now in the world because technology has revolutionized the way data is being collected. It has provided efficient and innovative methods that anyone, especially researchers and organizations. Below are some technology-enabled data collection methods:

• Online Surveys: Online surveys have gained popularity due to their ease of use and wide reach. You can distribute them through email, social media, or embed them on websites. Online surveys allow you to quickly complete data collection, automated data capture, and real-time analysis. Online surveys also offer features like skip logic, validation checks, and multimedia integration.
• Mobile Surveys: With the widespread use of smartphones, mobile surveys’ popularity is also on the rise. Mobile surveys leverage the capabilities of mobile devices, and this allows respondents to participate at their convenience. This includes multimedia elements, location-based information, and real-time feedback. Mobile surveys are the best for capturing in-the-moment experiences or opinions.
• Social Media Listening: Social media platforms are a good source of unstructured data that you can analyze to gain insights into customer sentiment and trends. Social media listening involves monitoring and analyzing social media conversations, mentions, and hashtags to understand public opinion, identify emerging topics, and assess brand reputation.
• Wearable Devices and Sensors: You can embed wearable devices, such as fitness trackers or smartwatches, and sensors in everyday objects to capture continuous data on various physiological and environmental variables. This data can provide you with insights into health behaviors, activity patterns, sleep quality, and environmental conditions, among others.
• Big Data Analytics: Big data analytics leverages large volumes of structured and unstructured data from various sources, such as transaction records, social media, and internet browsing. Advanced analytics techniques, like machine learning and natural language processing, can extract meaningful insights and patterns from this data, enabling organizations to make data-driven decisions.

Read Also: How Technology is Revolutionizing Data Collection

Faulty Data Collection Practices – Common Mistakes & Sources of Error

While technology-enabled data collection methods offer numerous advantages, there are some pitfalls and sources of error that you should be aware of. Here are some common mistakes and sources of error in data collection:

• Population Specification Error: Population specification error occurs when the target population is not clearly defined or misidentified. This error leads to a mismatch between the research objectives and the actual population being studied, resulting in biased or inaccurate findings.
• Sample Frame Error: Sample frame error occurs when the sampling frame, the list or source from which the sample is drawn, does not adequately represent the target population. This error can introduce selection bias and affect the generalizability of the findings.
• Selection Error: Selection error occurs when the process of selecting participants or units for the study introduces bias. It can happen due to nonrandom sampling methods, inadequate sampling techniques, or self-selection bias. Selection error compromises the representativeness of the sample and affects the validity of the results.
• Nonresponse Error: Nonresponse error occurs when selected participants choose not to participate or fail to respond to the data collection effort. Nonresponse bias can result in an unrepresentative sample if those who choose not to respond differ systematically from those who do respond. Efforts should be made to mitigate nonresponse and encourage participation to minimize this error.
• Measurement Error: Measurement error arises from inaccuracies or inconsistencies in the measurement process. It can happen due to poorly designed survey instruments, ambiguous questions, respondent bias, or errors in data entry or coding. Measurement errors can lead to distorted or unreliable data, affecting the validity and reliability of the findings.

In order to mitigate these errors and ensure high-quality data collection, you should carefully plan your data collection procedures, and validate measurement tools. You should also use appropriate sampling techniques, employ randomization where possible, and minimize nonresponse through effective communication and incentives. Ensure you conduct regular checks and implement validation processes, and data cleaning procedures to identify and rectify errors during data analysis.

Best Practices for Data Collection

• Clearly Define Objectives: Clearly define the research objectives and questions to guide the data collection process. This helps ensure that the collected data aligns with the research goals and provides relevant insights.
• Plan Ahead: Develop a detailed data collection plan that includes the timeline, resources needed, and specific procedures to follow. This helps maintain consistency and efficiency throughout the data collection process.
• Choose the Right Method: Select data collection methods that are appropriate for the research objectives and target population. Consider factors such as feasibility, cost-effectiveness, and the ability to capture the required data accurately.
• Pilot Test : Before full-scale data collection, conduct a pilot test to identify any issues with the data collection instruments or procedures. This allows for refinement and improvement before data collection with the actual sample.
• Train Data Collectors: If data collection involves human interaction, ensure that data collectors are properly trained on the data collection protocols, instruments, and ethical considerations. Consistent training helps minimize errors and maintain data quality.
• Maintain Consistency: Follow standardized procedures throughout the data collection process to ensure consistency across data collectors and time. This includes using consistent measurement scales, instructions, and data recording methods.
• Minimize Bias: Be aware of potential sources of bias in data collection and take steps to minimize their impact. Use randomization techniques, employ diverse data collectors, and implement strategies to mitigate response biases.
• Ensure Data Quality: Implement quality control measures to ensure the accuracy, completeness, and reliability of the collected data. Conduct regular checks for data entry errors, inconsistencies, and missing values.
• Maintain Data Confidentiality: Protect the privacy and confidentiality of participants’ data by implementing appropriate security measures. Ensure compliance with data protection regulations and obtain informed consent from participants.
• Document the Process: Keep detailed documentation of the data collection process, including any deviations from the original plan, challenges encountered, and decisions made. This documentation facilitates transparency, replicability, and future analysis.

FAQs about Data Collection

• What are secondary sources of data collection? Secondary sources of data collection are defined as the data that has been previously gathered and is available for your use as a researcher. These sources can include published research papers, government reports, statistical databases, and other existing datasets.
• What are the primary sources of data collection? Primary sources of data collection involve collecting data directly from the original source also known as the firsthand sources. You can do this through surveys, interviews, observations, experiments, or other direct interactions with individuals or subjects of study.
• How many types of data are there? There are two main types of data: qualitative and quantitative. Qualitative data is non-numeric and it includes information in the form of words, images, or descriptions. Quantitative data, on the other hand, is numeric and you can measure and analyze it statistically.

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• Research Tools
• Learning Center

Discover Essential Research Tools for Effective Monitoring and Evaluation (M&E) | Boost Your M&E Process with Reliable Data Collection, Analysis, and Reporting Tools | Find the Right Instruments, Software, and Techniques to Enhance Your M&E Methods | Enhance Decision-making and Program Improvement in M&E with Powerful Research Tools.

Table of Contents

• What are research tools?x
• Research tools in M&E

Essential research tools commonly used across disciplines

How do i choose a research tool, what are methods vs tools in research, future trends and innovations in research tools for m&e, what are research tools.

Research tools refer to a wide range of resources, methods, instruments, software, or techniques that researchers use to collect , analyze , interpret, and communicate data and information during the research process.

These tools are designed to facilitate and enhance various aspects of research, such as data collection , organization, analysis, visualization, collaboration, and documentation. Research tools can be both physical (e.g., laboratory equipment, survey instruments) and digital (e.g., software, online databases).

They are essential for conducting research effectively, efficiently, and rigorously across different disciplines and research domains. Examples of research tools include laboratory equipment, survey questionnaires, statistical software, data visualization tools, literature databases, collaboration platforms, and more.

The choice of research tools depends on the specific research objectives, methods, and requirements of the study.

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Research Tools in M&E

Monitoring and Evaluation (M&E) is a crucial component of research and program evaluation . Here are some essential research tools commonly used in the field of M&E:

• Logic Models and Results Frameworks: Logic models or results frameworks are visual tools that help clarify the theory of change and establish the logical connections between project activities, outputs, outcomes, and impacts. They provide a framework for designing M&E systems and identifying key indicators.
• Key Performance Indicators (KPIs): KPIs are measurable indicators that track progress and performance toward project or program goals. They help monitor the effectiveness and efficiency of interventions. Examples of KPIs can include the number of beneficiaries reached, percentage of target achieved, or cost per output.
• Surveys and Questionnaires: Surveys and questionnaires are useful tools for collecting quantitative data in M&E. They allow you to gather information from a large number of respondents and measure variables and indicators systematically. Online survey tools like SurveyMonkey or Google Forms can simplify data collection and analysis.
• Interviews and Focus Groups: Qualitative data collection methods, such as interviews and focus groups, can provide in-depth insights into participants’ experiences, perceptions, and attitudes. These methods are particularly valuable for understanding the contextual factors and mechanisms underlying program outcomes.
• Observations and Field Notes: Direct observations and field notes are often used to collect qualitative data in real-time. They help capture detailed information about program implementation, participant behaviors, and contextual factors that might not be evident through other methods.
• Data Analysis Software: Statistical software packages like SPSS, Stata, or R are commonly used for quantitative data analysis in M&E. These tools enable researchers to clean, analyze, and interpret large datasets efficiently. Qualitative data analysis software such as NVivo or Atlas.ti can assist with organizing and analyzing qualitative data.
• Data Visualization Tools: Tools like Excel, Tableau, or Power BI allow you to create visual representations of M&E data. Visualizations help communicate complex information and findings in a clear and compelling manner to stakeholders and decision-makers.
• Geographic Information Systems (GIS): GIS tools like ArcGIS or QGIS enable researchers to analyze and visualize spatial data. They can help identify geographical patterns, hotspot analysis, and map program impact or reach.
• Evaluation Management Systems: Evaluation management systems like DevResults or DHIS2 provide a centralized platform for managing M&E data, including data entry, analysis, reporting, and visualization. These systems streamline data management processes and facilitate collaboration among evaluation team members.
• Theory-Based Evaluation Approaches: Theory-based evaluation approaches , such as the Theory of Change or Contribution Analysis, help guide the evaluation process by explicitly linking program activities to intended outcomes and impacts. These approaches provide a framework for designing evaluations and analyzing the causal mechanisms at work.

It’s important to note that the selection of research tools in M&E should align with the specific objectives, scope, and resources of the evaluation. Tailor the choice of tools to the needs of the evaluation design and ensure that they provide reliable and valid data to inform decision-making.

There are numerous research tools available to support various types of research, and the choice of tools depends on the specific field of study and research goals. However, here are some essential research tools commonly used across disciplines:

• Library Databases: Online databases such as PubMed (biomedical literature), IEEE Xplore (engineering and computer science), JSTOR (humanities and social sciences), and Scopus (multidisciplinary) provide access to a vast collection of academic journals, articles, conference papers, and other scholarly resources.
• Google Scholar : This search engine specifically focuses on scholarly literature. It allows you to find academic papers, theses, books, and conference proceedings. It’s a useful tool for accessing both open access and subscription-based scholarly content.
• ResearchGate : ResearchGate is a social networking platform for researchers. It enables collaboration, networking, and access to research publications, preprints, and datasets. Researchers can also ask and answer questions related to their field of expertise.
• Reference Management Software: Tools like Zotero, Mendeley, and EndNote help researchers organize and manage bibliographic references. They allow you to collect, store, annotate, and cite references, making the citation process more efficient and streamlined.
• Data Analysis Tools: Depending on your research field, you may need specific data analysis tools. For statistical analysis, software such as SPSS, R, or Stata is commonly used. For qualitative research, NVivo and Atlas.ti assist with analyzing textual data.
• Collaboration and Communication Tools: Tools like Slack, Microsoft Teams, or Google Workspace facilitate collaboration and communication among research teams. They provide features like file sharing, real-time editing, video conferencing, and project management.
• Data Visualization Tools: Tools like Tableau, Plotly, or Excel can help create visual representations of data. These tools make it easier to present and interpret complex data sets, enabling researchers to communicate their findings effectively.
• Online Survey Tools: Platforms like SurveyMonkey, Google Forms, or Qualtrics allow researchers to design and distribute online surveys. These tools simplify the data collection process and provide features for analyzing and visualizing survey responses.
• Reference Search and Document Delivery: Tools like interlibrary loan systems, WorldCat, or services like Unpaywall can help you access research articles and resources that may not be available in your institution’s library.
• Academic Social Networks: Platforms like Academia.edu or LinkedIn can help researchers showcase their work, connect with peers, and discover potential collaborators or mentors.

Remember that the choice of research tools may vary depending on your specific research field and requirements. It’s essential to explore and evaluate the available options to find the tools that best align with your research goals and needs.

Choosing the right research tool in Monitoring and Evaluation (M&E) requires careful consideration of various factors.

Here’s a step-by-step process to help you choose a research tool for your M&E study:

• Define Your Research Objectives: Clearly articulate the purpose and goals of your M&E study. Determine what specific information you need to collect, analyze, and communicate through the evaluation process.
• Identify Data Needs: Identify the types of data you will be working with (quantitative, qualitative, spatial) and the specific indicators or variables you need to measure. Consider the level of detail, precision, and reliability required for your data.
• Assess Available Resources: Evaluate the resources available to you, including budget, time constraints, technical expertise, and access to technology or specialized equipment. Consider the level of support you may need in terms of training, technical assistance, or collaboration.
• Research Tool Options: Conduct research to explore the range of research tools available in M&E. Consult academic literature, practitioner resources, online forums, and professional networks to identify commonly used tools in your specific field or context.
• Evaluate Tool Suitability: Evaluate each research tool option against your specific needs and constraints. Consider factors such as ease of use, data quality, scalability, compatibility with existing systems, and cost-effectiveness. Assess whether the tool aligns with the type of data you are working with and the analysis and reporting requirements of your M&E study.
• Seek Recommendations and Feedback: Consult with experts, colleagues, or M&E professionals who have experience with the tools you are considering. Seek recommendations and feedback on their effectiveness, limitations, and user-friendliness. Their insights can provide valuable perspectives in selecting the most appropriate tool.
• Trial and Testing: If feasible, conduct small-scale trials or pilot tests with a subset of your data or research participants. This allows you to assess the usability and functionality of the tool, identify any potential issues, and gain practical experience in its implementation.
• Consider Integration and Compatibility: Consider the compatibility of the research tool with other tools or systems you may be using in your M&E process. Evaluate how well the tool integrates with existing data management, analysis, or reporting systems to ensure smooth workflows and data interoperability.
• Training and Support: Assess the availability of training resources, user guides, tutorials, and technical support for the research tool. Consider the level of training required for you and your team to effectively utilize the tool and ensure proper implementation.
• Make an Informed Decision: Based on the evaluation and assessment of the above factors, make an informed decision on the research tool that best meets your M&E objectives, data requirements, available resources, and user needs.

Remember, the choice of a research tool should be driven by the specific context, research objectives, and resources available to you. It’s important to consider trade-offs and select a tool that maximizes the quality and efficiency of your M&E study.

In the context of Monitoring and Evaluation (M&E), methods and tools have similar meanings as in general research, but they are applied specifically to the M&E process :

• M&E Methods: M&E methods refer to the systematic approaches and frameworks used to assess, measure, and evaluate the effectiveness, efficiency, and impact of programs, projects, or interventions. These methods provide a structured and rigorous approach to collecting and analyzing data to inform decision-making. M&E methods may include baseline studies, surveys, interviews, focus groups, case studies, statistical analysis, impact evaluation designs, and more. They guide the overall evaluation design and determine the data collection and analysis techniques used in M&E.
• M&E Tools: M&E tools are the specific resources, instruments, software, or techniques used within the M&E methods to support the data collection, management, analysis, visualization, and reporting processes. These tools provide practical means to implement M&E methods effectively. Examples of M&E tools include data collection templates, survey questionnaires, data analysis software (e.g., SPSS, Stata, R), visualization tools (e.g., Excel, Tableau), logic models, results frameworks, evaluation management systems (e.g., DevResults, DHIS2), and more. M&E tools assist in streamlining and enhancing the efficiency and accuracy of the M&E process.

In M&E, methods establish the overall approach to evaluating and assessing programs or interventions, while tools are the specific resources or techniques used within those methods to facilitate data collection, analysis, and reporting. M&E methods guide the evaluation design and data analysis, while M&E tools provide the means to execute those methods effectively. Both methods and tools are crucial in conducting rigorous and effective M&E, ensuring that data is collected, analyzed, and interpreted in a systematic and reliable manner to inform decision-making and program improvement.

As the field of Monitoring and Evaluation (M&E) continues to evolve, researchers and practitioners are exploring new trends and innovations in research tools to enhance the effectiveness and efficiency of evaluations. Here are some emerging trends and future directions in research tools for M&E:

• Integrated Data Platforms: With the increasing volume and complexity of data generated in M&E, there is a growing need for integrated data platforms that streamline data collection, management, analysis, and reporting processes. These platforms bring together various tools and functionalities into a unified system, allowing for seamless data flow and collaboration among stakeholders.
• Artificial Intelligence (AI) and Machine Learning: AI and machine learning technologies hold great potential for automating data analysis, identifying patterns and trends, and generating insights from large datasets in M&E. By leveraging AI algorithms, researchers can gain deeper insights into program performance, identify predictive indicators, and make data-driven decisions more efficiently.
• Mobile Data Collection Tools: Mobile data collection tools are becoming increasingly popular for conducting surveys, collecting field data, and monitoring program activities in real-time. These tools enable researchers to capture data using smartphones or tablets, allowing for faster data collection, improved data quality, and enhanced accessibility in remote or resource-constrained settings.
• Blockchain Technology: Blockchain technology offers opportunities for enhancing the transparency, security, and integrity of M&E data. By leveraging blockchain-based platforms, researchers can ensure the immutability and traceability of data, reduce the risk of data manipulation or fraud, and enhance trust and accountability in the evaluation process.
• Open Data and Data Sharing Platforms: There is a growing movement towards open data and data sharing in M&E, driven by the desire for transparency, collaboration, and knowledge exchange. Open data platforms facilitate the sharing of evaluation data, findings, and resources among stakeholders, enabling greater reproducibility, accountability, and innovation in the field.
• Citizen Science and Participatory Approaches: Citizen science and participatory approaches involve engaging community members and stakeholders in the research process, from data collection to interpretation and decision-making. By involving local communities in M&E efforts, researchers can gather diverse perspectives, foster ownership, and ensure the relevance and sustainability of evaluation initiatives.
• Ethical Considerations and Data Privacy: With the increasing use of digital technologies and data-driven approaches in M&E, there is a growing awareness of the need to address ethical considerations and data privacy concerns. Researchers must prioritize ethical principles such as informed consent, data confidentiality, and protection of vulnerable populations to ensure responsible and ethical conduct of evaluations.

By embracing these emerging trends and innovations in research tools, M&E practitioners can enhance the quality, rigor, and impact of evaluations, ultimately contributing to more effective and evidence-based decision-making in development and humanitarian efforts.

Research tools play a crucial role in the field of Monitoring and Evaluation (M&E) by supporting data collection, analysis, visualization, and reporting processes . The choice of research tools should be guided by the specific objectives, context, and data requirements of the evaluation.

Essential research tools in M&E include data collection instruments (surveys, interviews, observation checklists), data analysis software (SPSS, Stata, R), data visualization tools (Excel, Tableau), logic models, KPI frameworks, GIS software, evaluation management systems, and collaboration platforms.

By selecting and utilizing appropriate research tools, M&E practitioners can enhance the efficiency , accuracy, and effectiveness of their evaluations, leading to evidence-based decision-making and program improvement.

It is important to evaluate and choose tools that align with the evaluation design, data type, available resources, and technical expertise to ensure rigorous and meaningful evaluation outcomes in M&E.

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10 Survey Tools for Academic Research in 2024

• Important Features

Survey Panels

• Additional Tools

1. SurveyKing

2. alchemer, 3. surveymonkey, 4. qualtrics, 5. questionpro, 6. sawtooth, 7. conjointly, 8. typeform, 10. google forms.

• Employee Feedback
• Creating the Survey
• Identity Protection
• Research Tools

Need a research survey tool? Features include MaxDiff, conjoint, and more!

These ten survey tools are perfect for academic research because they offer unique question types, solid reporting options, and support staff to help make your project a success. This article includes a detailed review of each of these nine survey tools. In addition to these survey tools, we include information about other research tools and survey panels.

Below is a quick summary of these nine survey tools. We list the lowest price to upgrade, which usually has the featured s needed for research projects. We also include a summary of the unique features of each tool. Most survey software has a monthly subscription; we denote when a tool requires annual pricing is required.

Important Features of Research Survey Software

Academic research surveys often require advanced question types to capture the necessary data. Many of the tools we mention in this article include these questions. However, some projects also require specialized features or the ability to purchase a panel. To help guide your decision in choosing the best piece of software for your project, we’ll summarize some of the most critical aspects.

Research Questions

Standard multiple-choice questions can only get you so far. Here are some question types you should be aware of:

• MaxDiff – measure the relative importance of an attribute. It goes beyond a standard ranking or rating by forcing respondents to pick the least and most valued items from a list. Rankings and other types only can you what is liked, not what is disliked. A statistical model will give you the probability of a user selecting an item as the most important. Latent class analysis can help you identify groups of respondents who value different attributes.
• Conjoint – Similar to MaxDiff in terms of finding importance, respondents evaluate a complete product (multiple attributes combined). This simulates real word purchasing decisions. A statistical model is also used to compute the importance of each item.
• Van Westendorp – Asks respondents to evaluate four price points. This shapes price curves and gives you a range of acceptable prices.
• Gabor Granger – Asks users whether or not they would purchase an item at specific price points. Price points are shown in random order to simulate real-world buying conditions. The results include a demand curve, giving you the revenue-maximizing price.
• Likert Scale – Measure attitudes and opinions related to a topic. It’s essential to use a mobile-ready Likert scale tool to increase response rates; many tools use a matrix for Likert scales, which could be more user-friendly.
• Semantic differential scale – a multirow rating scale that contains grammatically opposite adjectives at each end. It is used similarly to a Likert scale but is much easier for respondents to evaluate.
• Image heat map – Respondents click on places they like on an image. The results include a heat map showing the density of clicks. This is useful for product packaging.
• Net Promoter Score – Respondents choose a rating from 0-10. Many companies use this industry-standard question to benchmark their brand perception. This question type is necessary if your academic project measures brand reputation.

Anonymous Survey Links

Many academic surveys can deal with sensitive subjects or target sensitive groups. For this reason, assuring anonymity for respondents is crucial. Choosing a platform with an anonymous link is essential to increase trust with respondents and increase your response rates.

Data Segmentation

Comparing two groups within your survey data is essential for many research projects. This is called cross tabulation . For example, consider a survey where you ask for gender along with product satisfaction. You may notice that males are not satisfied with the product while females are.

You can take this further and compute the statistical significance between the groups. In other words, make the differences that exist between two data sets due to random chance or not. Your comparison is statistically significant if it’s not due to random chance.

Some lower-end survey tools may not offer any segmentation features. If this is the case, you need to download your survey data into a spreadsheet and create pivots of set-up custom formulas.

Skip Logic and Piping

If your academic project has questions that only a specific subset of respondents need to answer, then some logic will help streamline your survey.

Skip logic will take you to a new page based on answers to previous questions. Display logic will show a question to a user based on previous questions; perfect for follow-up.

Answer piping will allow you to carry forward answers from one question into another. So, for example, ask someone which brand names they have heard of, then pipe those answers into a ranking question.

Data Cleaning

Making sure your responses are high quality is a big part of any survey research project. For example, if people speed through the survey or mark all the first answers for questions, those would be low-quality responses and should be removed from your data set. Some tools highlight these low-quality responses, which can be a helpful feature.

For platforms that do not offer a data cleaning feature, it’s generally possible to export the data to Excel, create formulas for time spent, answer straight-lining, then remove the needed data. You can also include a  trap question  to help filter out low-quality responses.

Great Support

Many academic projects require statistical analysis or additional options for the survey. Using a tool with a support staff that can explain a statistical model’s intricacies, help build custom models, or adds features on request will ensure your project is a success. With SurveyKing, custom-built features are billed at $50 per hour, making custom projects feasible for small budgets.

Asking classmates to take your survey, posting it on social media, or distributing QR code surveys around campus is a great way to collect responses for your project. But if you need more responses with those methods, purchasing additional answers might be required.

A panel provider will enable you to target a specific demographic, job role, or hobby type. When setting up a survey with a penal provider, you always want to include screening questions (on the first page) to ensure they meet your criteria, as panel filters may not be 100% accurate. Generally, panel responses start around $2.50 per completed response.  Cint  is one of the largest panel providers and works well with any survey platform.

Additional Research Tools

Before deep diving into the survey software list, here are some additional tools and resources that might assist in your project. These can help shape your survey by conducting preliminary research or using it as a substitute if conducting a study is not feasible.

• Hotjar  – They offer simple surveys and many tools to help capture feedback and data points from a website. A feedback widget customized for websites in addition to a heat map tool to show where users click the most or to identify rage clicks. A tool like this could be helpful if your academic projects revolve around launching or optimizing a website.
• Think with Google  – Used to help marketers understand their audience. The site contains links to Google Trends to search for the popularity of key terms over time. They also have a tool that helps you identify your audience based on popular YouTube channels. Finally, they have a “Grow My Store Tool” that recommends tips for improving an online store.
• Google Scholar  – A specific search engine used for scholarly literature. This can help locate research papers related to the survey you are creating.
• MIT Theses  – Contains over 58,000 theses and dissertations from all MIT departments. The database is organized by department and lets you search for keywords.

SurveyKing is the best tool for academic research surveys because of a wide variety of question types like MaxDiff, excellent reporting features, a solid support staff, and a low cost of $19 per month.

The survey builder is straightforward to use. Question types include MaxDiff, conjoint, Gabor Granger, Van Westendorp, a mobile optimized Likert scale, and semantic differential.

The MaxDiff question also includes anchored MaxDiff and collecting open-ended feedback for the feature most valued by a respondent. In addition, cluster analysis is available to help similar group data together; some respondents might value specific attributes, while other groups value others.

The reporting section is also a standout feature. It is easy to create filters and segment reports. In addition, the Excel export is well formatted easily for question types like ranking and Likert Scale, making it easy to upload into SPSS. The reporting section also gives the probability for MaxDiff, one of the few tools to offer that.

The anonymous link on SurveyKing is a valuable feature. A snippet at the top of each anonymous survey is where users can click to understand whether their identities are protected.

The software also offers a Net Promoter Score module which can come in handy for projects that deep dive into brand reputation.

Some downsides to SurveyKing include no answer piping, no image heat maps, no continuous sum question, and no premade data cleaning feature.

As a platform with lots of advanced question types and a reasonable cost, Alchemer is an excellent tool for academic research. Question types include MaxDiff, conjoint, semantic differential, image heat map, text highlighter, continuous sum, cascading dropdowns, rankings, and card grouping.

Reporting on Alchemer is a standout feature. Not only can you create filters and segment reports, but you can also create those filters and segments using advanced criteria. So if you ask a question about gender and hobby, you can make advanced criteria that match a specific gender and hobby.

In addition, their reporting section also can do chi-square tests to calculate the significant difference between the two groups. Finally, they also have a section where you can create and run your R scripts. This can be useful for various academic research projects as you can create custom statistical models in the software without needing to export your data.

Alchemer is less user-friendly than some other tools. The platform is a little clunky; things like MaxDiff require respondents to hit the submit button to get to the next set. Radio buttons need respondents to click inside of them instead of the area around them.

The pricing is reasonable for a student; $249 a month for access to the research questions. However, if you can organize your project quickly, you may only need one month of access.

As the most recognized brand for online surveys, SurveyMonkey is a reliable option for academic research. While the platform does not have any research questions, it offers all the standard question types and a clean user interface to build your surveys.

One advanced question type they do have is the image heat map. Their parent company  Momentive  does offer things like MaxDiff and conjoint studies, but you would need to contact sales to get a quote, meaning this could be out of budget for students.

The reporting on SurveyMonkey is good. You can easily create filters and segments. You can also save that criterion to create a view. The views enable you to toggle between rules quickly.

One of the main downsides to SurveyMonkey is the cost. For the image heat map and to create advanced branching rules, you need to upgrade to their Premier plan, which costs $1,428 annually. To get statistical significance, you would need their Primer plan, which is $468 annually.

As the survey tool known for experience management, Qualtrics has some nice features for research projects. For example, they offer both MaxDiff and conjoint in addition to tools like drill-down, continuous sun, image heat map, and a text highlighter.

Reporting on the tool offers the ability to create filters and segments. For segments, it’s called a report breakout, and it appears there is no ability to create a breakout with advanced criteria. However, filers do allow you for advanced criteria.

There is a custom report builder option to create custom PDF reports. You can add as many elements as needed and customize the information displayed, whether a chart type or a data table.

Overall, Qualtrics could be more user-friendly and may require training. The survey builder and reporting screens could be more cohesive. For example, to add more answer options, you need to click the “plus” symbol on the left-hand side of the question instead of just hitting enter or clicking a button right below the current answer choice. In addition, the reporting section will display things like mean and standard deviation for simple multiple-choice questions before showing simple response counts.

One drawback to Qualtrics is the pricing. For example, you would need to pay $1,440 for an annual plan to use the research questions. But many universities have a licensing agreement with Qualtrics so students can use the platform. When you sign up for a new account, you can select academic use, enter your Edu email, and they will check if your university has a license agreement.

A survey platform with all the needed research questions, including Gabor Granger and Van Westendorp, QuestionPro is a quality research tool.

The reporting on QuestionPro is comprehensive. They offer segment reports with statistical significance using a t-test. In addition, they offer TURF analysis to show answer combinations with the highest reach.

For conjoint, offer a market simulation tool that can forecast new product market share based on your data. That tool can also calculate how much  premium  consumers will pay for a brand name.

QuestionPro is a little easier to use than Qualtrics. The UI is cleaner but still clumsy. You must navigate to a different section in the builder for things like quotas instead of just having it near skip logic rules. The distribution page has the link at the top but an email body below. The reporting has a lot of different pages to click through for each option. Small things like this mean there is a learning curve to use the platform efficiently.

The biggest downside of QuestionPro is the price. All of their research questions, even Net Promoter Score, would require a custom quote under the research plan. There another plan with upgraded feature types is $1,188 annually.

When it comes to advanced research projects, Sawtooth is a great resource. While their survey builder is a little limited in question types, they offer different forms of MaxDiff and conjoint. They also provide consulting services, which could help if your academic project is highly specialized.

For MaxDiff, they offer a bandit  version, which can be used for MaxDiff studies with over 50 attributes. Each set of detailed attributes that are most relevant to the user. This can save panel costs because you can build a suitable statistical model with 300 bandit responses compared with 500 or 1000 standard MaxDiff responses.

Their MaxDiff feature also comes with a TURF analysis option that can show you the possible market research of various attributes.

For conjoint, they offer adaptive choice-based conjoint and menu-based conjoint. Adaptive choice tailors the product cards toward each respondent based on early responses or screening questions. Menu-based conjoint is for more complex projects, allowing respondents to build their products based on various attributes and prices.

Sawtooth has a high price point and may be out of the research for many academic projects. The lowest plan is $4,500 annually. If you need advanced tools like bandit MaxDiff or adaptive conjoint, you must pay $11,990 annually. They do have a package just for MaxDiff starting at $2,420.

Conjointly is a platform geared towards research projects, namely market research. Not only do they have the standard research questions, but they also have a bunch of unique ones: claims testing, Kano Model testing, and monadic testing. There are also question types like feature placement matrix, which combines MaxDiff and Gabor Granger into a single question.

You can either use your respondents or select from a survey panel. The survey panel option comes with predefined audiences, which makes scouring respondents a breeze.

One unique feature is that they monitor in real-time speeders and other criteria for low-quality respondents. If a respondent is speeding through the survey, a warning message is displayed asking them to repeat questions before being disqualified. If a question has a lot of information to digest, the system automatically pauses, forcing the respondent to thoroughly read the question before answering.

The pricing is a little steep at $1,795 annually. Response panels for USA residents appear to start around $4 per completed response. The survey builder and reporting section could be cleaner, with different options in many places. It may take time to get up to speed.

While Typeform doesn’t have any research questions, it is a very well-designed and easy-to-use tool that can assist with your academic survey. For example, it could gather preliminary data for a MaxDiff study.

Typeform offers a lot of integrations with other applications. For example, if your project requires exporting data to a spreadsheet, then Google Sheets or Excel integration might be helpful. Likewise, if your research project is part of a class project, then the Slack or Microsoft Teams integration might help to notify other team members when you get responses.

One unique feature of Typeform is the calculator feature. Add, subtract, and multiply numbers to the @score or @price variable. These variables can be recalled to show scores or used in a payment form.

The reporting in Typeform is basic. There is no option to create a filter or a segment report. Any data analysis would need to be done in Google Sheets or Excel.

For $29 a month, you can get 100 responses, or $59 a month, you can collect 1,000 responses each month.

HubSpot’s form builder doesn’t include advanced research questions, but it is customizable and easy to use. You can pick between multiple form types, like standalone, embedded, and pop-up forms. There are also numerous templates including lead generation, support, or eBook download forms.

One of the form builder’s main advantages is that it offers native integrations with Salesforce and HubSpot CRM tools. In addition, you can add custom properties to the form from the CRM fields. You can then send the surveys in bulk to your audience using their email features.

If you’re a large academic organization. HubSpot would be ideal to organize and manage a large distribution list. If you need advanced questions, you can still use HubSpot for an initial screener survey or incorporate other surveys into HubSpot using skip logic.

As for the downsides, scalability can be challenging. Although you can use the form builder for free, you’ll have to subscribe to one of HubSpot’s Marketing Hub paid plans to access more advanced functionalities, like unlimited automation workflows and code customization. There are steep pricing differences between paid packages. 

One of the widely used survey tools, Google Forms , is a decent platform for an academic research survey. Unfortunately, the software doesn’t offer any research questions. Still, the few questions it has, like multiple choice, rantings, and open-ended feedback, are enough to collect essential feedback for simple projects or preliminary data for more complex studies.

Skip logic is straightforward to set up on Google Forms. For example, you can select what section to skip based on question answers or choose what to skip once a section is complete. Of course, you can’t create complex rules, but these simple rules can cover many bases.

Overall the user interface is elegant and straightforward. The form design is also elegant, meaning the respondent experience is excellent. Unlike other survey tools, which can have a clunky interface, there is no worry about that with Google Forms; respondents can quickly navigate your form and submit answers.

The spreadsheet export is very well formatted and can be easily imported into SPSS for advanced analysis. However, the export has the submission date and time but has yet to have the time started, so calculating speeders is impossible.

ABOUT THE AUTOR

Allen is the founder of SurveyKing. A former CPA and government auditor, he understands how important quality data is in decision making. He continues to help SurveyKing accomplish their main goal: providing organizations around the world with low-cost high-quality feedback tools.

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MIT researchers introduce generative AI for databases

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A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes.

GenSQL, a generative AI system for databases, could help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes.

For instance, if the system were used to analyze medical data from a patient who has always had high blood pressure, it could catch a blood pressure reading that is low for that particular patient but would otherwise be in the normal range.

GenSQL automatically integrates a tabular dataset and a generative probabilistic AI model, which can account for uncertainty and adjust their decision-making based on new data.

Moreover, GenSQL can be used to produce and analyze synthetic data that mimic the real data in a database. This could be especially useful in situations where sensitive data cannot be shared, such as patient health records, or when real data are sparse.

This new tool is built on top of SQL, a programming language for database creation and manipulation that was introduced in the late 1970s and is used by millions of developers worldwide.

“Historically, SQL taught the business world what a computer could do. They didn’t have to write custom programs, they just had to ask questions of a database in high-level language. We think that, when we move from just querying data to asking questions of models and data, we are going to need an analogous language that teaches people the coherent questions you can ask a computer that has a probabilistic model of the data,” says Vikash Mansinghka ’05, MEng ’09, PhD ’09, senior author of a paper introducing GenSQL and a principal research scientist and leader of the Probabilistic Computing Project in the MIT Department of Brain and Cognitive Sciences.

When the researchers compared GenSQL to popular, AI-based approaches for data analysis, they found that it was not only faster but also produced more accurate results. Importantly, the probabilistic models used by GenSQL are explainable, so users can read and edit them.

“Looking at the data and trying to find some meaningful patterns by just using some simple statistical rules might miss important interactions. You really want to capture the correlations and the dependencies of the variables, which can be quite complicated, in a model. With GenSQL, we want to enable a large set of users to query their data and their model without having to know all the details,” adds lead author Mathieu Huot, a research scientist in the Department of Brain and Cognitive Sciences and member of the Probabilistic Computing Project.

They are joined on the paper by Matin Ghavami and Alexander Lew, MIT graduate students; Cameron Freer, a research scientist; Ulrich Schaechtle and Zane Shelby of Digital Garage; Martin Rinard, an MIT professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Feras Saad ’15, MEng ’16, PhD ’22, an assistant professor at Carnegie Mellon University. The research was recently presented at the ACM Conference on Programming Language Design and Implementation.

Combining models and databases

SQL, which stands for structured query language, is a programming language for storing and manipulating information in a database. In SQL, people can ask questions about data using keywords, such as by summing, filtering, or grouping database records.

However, querying a model can provide deeper insights, since models can capture what data imply for an individual. For instance, a female developer who wonders if she is underpaid is likely more interested in what salary data mean for her individually than in trends from database records.

The researchers noticed that SQL didn’t provide an effective way to incorporate probabilistic AI models, but at the same time, approaches that use probabilistic models to make inferences didn’t support complex database queries.

They built GenSQL to fill this gap, enabling someone to query both a dataset and a probabilistic model using a straightforward yet powerful formal programming language.

A GenSQL user uploads their data and probabilistic model, which the system automatically integrates. Then, she can run queries on data that also get input from the probabilistic model running behind the scenes. This not only enables more complex queries but can also provide more accurate answers.

For instance, a query in GenSQL might be something like, “How likely is it that a developer from Seattle knows the programming language Rust?” Just looking at a correlation between columns in a database might miss subtle dependencies. Incorporating a probabilistic model can capture more complex interactions.   

Plus, the probabilistic models GenSQL utilizes are auditable, so people can see which data the model uses for decision-making. In addition, these models provide measures of calibrated uncertainty along with each answer.

For instance, with this calibrated uncertainty, if one queries the model for predicted outcomes of different cancer treatments for a patient from a minority group that is underrepresented in the dataset, GenSQL would tell the user that it is uncertain, and how uncertain it is, rather than overconfidently advocating for the wrong treatment.

Faster and more accurate results

To evaluate GenSQL, the researchers compared their system to popular baseline methods that use neural networks. GenSQL was between 1.7 and 6.8 times faster than these approaches, executing most queries in a few milliseconds while providing more accurate results.

They also applied GenSQL in two case studies: one in which the system identified mislabeled clinical trial data and the other in which it generated accurate synthetic data that captured complex relationships in genomics.

Next, the researchers want to apply GenSQL more broadly to conduct largescale modeling of human populations. With GenSQL, they can generate synthetic data to draw inferences about things like health and salary while controlling what information is used in the analysis.

They also want to make GenSQL easier to use and more powerful by adding new optimizations and automation to the system. In the long run, the researchers want to enable users to make natural language queries in GenSQL. Their goal is to eventually develop a ChatGPT-like AI expert one could talk to about any database, which grounds its answers using GenSQL queries.   

This research is funded, in part, by the Defense Advanced Research Projects Agency (DARPA), Google, and the Siegel Family Foundation.

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• Vikash Mansinghka
• Martin Rinard
• Probabilistic Computing Project
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USC Molinaroli College of Engineering and Computing to host battery safety workshop

The 2024 Battery Safety Workshop , spearheaded by Mechanical and Nuclear Engineering Associate Professor Xinyu Huang and his colleagues, aims to tackle the critical issue of battery safety head-on. The workshop, which will be hosted at the University of South Carolina Molinaroli College of Engineering and Computing on August 5-6, will highlight the importance of collaboration and innovation in ensuring the safety of batteries in an increasingly mobile society.

Battery safety is not just a technical challenge; it is a matter of life and death.

"A battery factory in South Korea recently caught fire and killed 23 people in less than an hour, so the high energy battery safety is a big issue because it can be really risky," Huang says.

Though not extremely frequent, battery-related accidents occur often enough to necessitate serious attention. Incidents in factories, cars, warehouses and energy storage stations highlight the significant risks associated with battery failures. The workshop responds to these risks, aiming to foster dialogue and innovation.

The workshop's mission is to address the fundamental science of battery safety and develop powerful design tools for the next generation of safe batteries.

"We have witnessed significant scientific research breakthroughs and engineering technology development in academia and industries in recent years. In the meantime, due to the complexity of the batteries as energy storage systems, fundamental problems remain unsolved or even unidentified, hindering the further development of the battery-related industry," Huang says.

The focus on safety will ensure that all discussions and presentations are relevant to the critical issue at hand, promoting a unified effort to enhance battery safety across the industry. This includes everything from the material shell and system level to mechanisms and mitigation.

Since 2022, the Battery Safety Workshop has focused on battery safety research, providing a forum to discuss state-of-the-art progress in this area. It aims to inspire collaborative efforts to solve battery safety issues, bringing together scientists, researchers, and engineers from academia and industry. The speakers for this year’s workshop include a diverse group of experts from national labs, leading companies, innovative startups and universities. This year's attendance is expected to surpass 100 participants, reflecting a growing commitment to battery safety.

One of the workshop's highlights is the presentation of breakthrough solutions by various companies. Innovations include new battery materials that are more resistant to runaway events, often the initiators of fires. Some materials can withstand extreme conditions, such as being shot with bullets, without compromising safety.

"You cannot really innovate or even understand the problem in an isolated manner, so this workshop is basically a forum for people to exchange ideas,” Huang says. 

The workshop also aims to support the next generation of researchers and professionals. Graduate students are offered significantly reduced rates to attend, providing an invaluable opportunity to learn, network and present their work in a supportive environment. A poster presentation session will also provide a platform for students to showcase their cutting-edge research and innovative solutions in battery safety.

"We have three awards, all with cash prizes and certificates. There are two first-place trophies supported by our sponsors," says Golareh Jalilvand , chemical engineering assistant professor and a member of the workshop organizing committee. "I think the students, if they know about this, will be motivated to attend."

Registration for the workshop is currently open. 

Challenge the conventional. Create the exceptional. No Limits.

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Cosmic Research Hints at Mysterious Ancient Computer’s Purpose

Scientists used techniques from the field of gravitational wave astronomy to argue that the Antikythera mechanism contained a lunar calendar.

By Becky Ferreira

The Antikythera mechanism, an ingenious calculator made 2,200 years ago, has inspired awe and enchantment ever since it was recovered from a shipwreck near a Greek island in 1901. Generations of researchers have unraveled many mysteries about the device, which is often described as the world’s first analog computer, though much remains unknown.

A study published this month in The Horological Journal challenges a core assumption about the mechanism that could upend understanding of the complex timepiece’s form and function. But rather than using standard tools of archaeology, the scientists reached their conclusions by drawing from the methods of gravitational wave astronomy, a field that tunes into subtle ripples in space-time that result from cosmic disruptions.

Graham Woan, a professor of astrophysics at the University of Glasgow, and Joseph Bayley, a research associate there, said that the mechanism’s calendar ring, a circular feature that survived only in fragments, had once contained 354 holes, which corresponds to a lunar calendar of 354 days. That result conflicts with earlier research that identified the ring as a solar calendar, lined with 365 holes.

“It’s a slightly contentious idea,” said Dr. Woan, who acknowledged that he and Dr. Bayley are not experts on the device. “However, the evidence is rather clear.”

If the calendar ring does represent a lunar year, it would invalidate current models of the mechanism. For that reason, some Antikythera scholars remain skeptical of the new study.

“It’s just wrong,” said Tony Freeth, an honorary professor at University College London and an expert on the Antikythera mechanism . He noted that there was already a much more precise lunar calendar, based on the 19-year Metonic cycle, embedded in the machinery.

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Shedding light on post-incarceration syndrome

Uc researcher, community advocate partner to advance research, care for formerly incarcerated people.

“I’m overly stressed more than anything. I always want to be alone.”

“I continue to deal with massive amounts of trauma and am prescribed medication just to deal with the constant anxiety and depression.”

“Being behind bars made me lose contact with my loved ones.”

These real quotes from formerly incarcerated people provide a glimpse of the toll and mental health effects of incarceration. Many formerly incarcerated people — and their family members and close friends — experience what is called post-incarceration syndrome (PICS) upon their release, but there is little research and understanding of PICS in society at large and within healthcare and academia.

University of Cincinnati researcher Rachael Nolan and justice advocate Chazidy Robinson are collaborating to learn more about PICS and implementing programs to help those experiencing its effects.

What is PICS?

Nolan’s research focuses on grief experienced from losses of any kind, from the death of a loved one to losing a sense of identity or trust. After meeting Robinson in 2019, the two began researching PICS through a pilot project that collects qualitative and quantitative data from formerly incarcerated people.

“There is no difference between me and a person behind bars, other than the person behind bars got caught and I didn’t,” said Nolan, PhD, associate professor in the Department of Environmental & Public Health Sciences in UC’s College of Medicine. “My life would be completely different if I had.” 

Through a checklist and interviews, the team is developing a fuller view of the symptomatology of PICS. While every person experiences PICS in a unique way, Robinson said there are five major components:

• Post-traumatic stress disorder
• Institutionalized personality traits such as distrusting others, difficulty maintaining relationships and problems making decisions
• Antisocial personality traits
• Social sensory deprivation syndrome
• Substance abuse disorder

Rachael Nolan, PhD. Photo/University of Cincinnati.

In practice, Nolan said individuals with PICS may always sit with a back against the wall, have an inability to control their anger, feel helpless or unsafe, experience flashbacks to incidents where they were threatened, experience nightmares and sleep disturbances, or be overly possessive of material things. 

Some people experience a disbelief of freedom and may act or dress as if they are still incarcerated, prefer to be in confined spaces, and have a fear of future interactions with law enforcement.

“PICS is not something you can see on their face. Looking at me, you can’t see the trauma I’ve gone through,” Nolan said. “I think that’s one of the reasons why it’s so important to me to study this: because it’s there, but a lot of people don't understand it yet.” 

Robinson said diagnoses of PTSD or anxiety are insufficient at describing the full spectrum of what people with PICS experience, which in turn leads to people not getting the full care they need or even being treated for conditions they do not have.

“If I have clinical depression, you’re not going to diagnose me as having back issues and give me something that’s going to help me for my back,” said Robinson, founder and president of the SOAR 4031 Foundation. “It’s not going to help me. So we have to make sure that we are diagnosing folks properly.”

In her personal experience when she was supporting a now-former partner who was incarcerated, Robinson said she stopped going to therapy because her therapist did not understand the specific trauma and triggers she was dealing with. Many people who participate in the team’s research describe similar difficulties finding a therapist who can relate to their experiences.

Taking action

Justice advocate Chazidy Robinson. Photo provided.

Nolan said the long-term goal is for PICS to be included in the APA’s Diagnostic and Statistical Manual of Mental Disorders (DSM). 

“If you have a condition the DSM does not acknowledge, you can’t get treatment for it and it can’t be covered by insurance,” Nolan said. “And nobody knows what it is, and you continue to suffer, and the people around you continue to suffer.”

Building the breadth of research to make the case for inclusion in the DSM could take decades, Nolan said, but there are millions of formerly incarcerated people in need of help now. Using insights gained from research, Robinson and the SOAR 4031 Foundation have developed a 12-week program designed to help people experiencing PICS and their loved ones.

The first six weeks of the program walk through the five components of PICS and explain how it can manifest. During the next six weeks, organizers take a holistic approach to addressing PICS through support groups, case management to help connect people to therapy, skill building, workforce development and other initiatives that help formerly incarcerated people reacclimate to society.

“It helps so that they can be able to connect in the family unit, or they can connect with whoever is coming into their home so they can understand how to communicate with each other,” Robinson said. “We help them within that 12-week program to be able to do those things and navigate those pieces that typically they wouldn't be able to do.”

Robinson said it is an especially important time to advance research and support around PICS, as the federal First Step Act, correctional officer shortages and other factors are leading to more people being released to home confinement.

“We’re not giving more mental health services to people inside of our prisons, and we’re not allowing more mental health services in our prisons to decarcerate the mind before they’re coming home,” she said. “We’re not talking about PICS and offering post-incarceration syndrome education before people come home. If we haven’t deemed this as a disorder or we are not making folks aware of PICS before they come home, then we may have a bigger issue before people start to come home.”

Nolan said she believes it is a collective social responsibility to learn more about PICS and offer better care and treatment for formerly incarcerated people and their families.

“There are individuals that go to prison and they make their amends, and the trauma of prison is enough in my opinion to make amends in many cases,” she said. “So to come out into the world and actually find that this world outside of the bars is actually far harder and far more stigmatizing and far more debilitating than it was behind the bars, it’s no wonder we have recidivism levels the way they are today.”

Those interested can fill out online forms to learn more about the 12-week program or to volunteer with the SOAR 4031 Foundation .

Impact Lives Here

The University of Cincinnati is leading public urban universities into a new era of innovation and impact. Our faculty, staff and students are saving lives, changing outcomes and bending the future in our city's direction.  Next Lives Here.

Featured photo at top of a prison corridor. Photo/Rawf8/iStock.

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New CULVERT Tool

Introducing CULVERT, the Climate & Upland Loading Vulnerability Evaluation & Risk Analysis Tool 

• Research Topics
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Culverts for climate resilience: Developing the CULVERT tool

Road culverts are part of the transportation infrastructure on national forest lands. Current national forest road infrastructure was designed to accommodate historical climate conditions.

Climate change brings increasing threats, such as extreme precipitation, to roads and culverts. Floods, sediment-laden floodwaters, and debris flows after wildfires are among the threats. Damaged culverts can adversely impact traffic, safety, economies, and aquatic species passage.

We are developing a new tool that can help identify culverts that may be under-sized and in need of upgrades: CULVERT, the Climate and Upland Loading Vulnerability Evaluation and Risk Analysis Tool. This tool will be useful for anyone assessing culvert vulnerability to floods, soil erosion and post-wildfire debris flow. 

The U.S. Department of Transportation is a major funding source and the work is also supported by the USDA Forest Service. 

• Project Milestones

A box culvert on the Francis Marion National Forest in South Carolina. 

The CULVERT tool is being designed to predict which culverts may be vulnerable to failure and could need restoration or rebuilding. 

The tool is an automated quasi-dynamic hydro-geospatial model-based decision support system. The results will also be available through an online static and interactive dashboard built into the tool. 

The tool is being developed with data from two pilot sites, the Santee Experimental Forest in South Carolina, and the Hubbard Brook Experimental Forest in New Hampshire. 

If successful, there is potential to expand across all National Forest System lands and beyond, to all lands where high resolution climatic and geospatial data for road stream crossings are available. 

The project is expected to facilitate informed decision-making ahead of field visits and on future design, restoration, and adaptation strategies.  

Phase 1: Developing the Model

In this phase, the team collected, processed, and analyzed multiple datasets. The datasets describe current and projected precipitation, streamflow from specific watersheds, culverts, terrain, flood risk, and much more.

Flooded road and bridge after an extreme precipitation event in 2015 at the Santee Experimental Forest, SC. Agency roads are important to nearby community residents, visitors to national forests, partners, and employees. 

Forest Service engineers from the White Mountain National Forest in New Hampshire, where Hubbard Brook Experimental Forest is located, helped select USGS stream gauge locations within and near the White Mountain National Forest boundary, and provided culvert data for the Hubbard Brook Experimental Forest region. Similarly, Forest Service engineers for the Francis Marion National Forest helped provide details of culvert data for the Santee Experimental Forest.

Phase 1 is nearing completion. The team’s Phase 1 activities included:

• Collect and process culvert data, geospatial and high-resolution hydro-meteorological data, and LiDAR for both sites. 
• With geospatial technology and LiDAR, identify additional culverts and other road-stream crossings on sites where culvert datasets are not available.
• Analyze current precipitation and downscaled future precipitation projections for both sites. Current/historic data come from Forest Service long-term on-site gauges as well as the National Oceanic and Atmospheric Administration and the future projections from Environmental Protection Agency.
• Assess risks of culvert failure due to flooding and erosion using multiple hydrology and geospatial models. Using hydro-met data and site characteristics in the models, the team assessed the range of flood discharge and sediment export potentials causing overtopping and siltation of culverts, respectively. The models were also calibrated with on-site data, where available, and validated with expert judgement.
• The team may also include a modified NRCS Curve Number, a new concept, developed by collaborators from the University of Agriculture in Krakow, Poland.
• Use future climate model projections based downscaled high resolution precipitation intensity information, as an option for engineers/managers for climate resilient culvert sizing, provided by the Environmental Protection Agency under a memorandum of understanding with the USDA Forest Service.
• Assess culvert failure risk due to flooding by comparing their estimated hydraulic capacities to projected design discharges for a flood frequency (25-yr, 50-yr or 100-yr) of interest.
• Assess culverts for their risk of failure due to stream-bank erosion, siltation, and other hydro-geomorphological phenomena driven by extreme precipitation and flooding.
• Develop new and/or modify existing erosion prediction models to assess pre-fire and post-fire flooding and associated debris flow.
• Publish the papers on hydrological and hydro-geomorphological risk assessment model applications.
• Create a hands-on Toolbox (Geospatial Models) for easy dissemination and replication.

Phase 2: Developing the Decision Support System (DSS) 

In this phase, the team will build the two types of web applications that comprise the tool: a static interactive dashboard that showcases results of culvert vulnerability assessments stored in the server, and a quasi-dynamic tool released in two different versions.  Both versions of the quasi-dynamic tool will let users generate culvert vulnerability assessments. Version 1 is designed for users who have their own culvert geodatabase. Version 2 will identify potential culvert locations from road and stream intersections. Version 2 will also allow users to save the location of these potential culvert locations to their own geodatabase. During Phase 2, the team will be working to: 

A damaged culvert in a forest. 

Design and develop the DSS user interface with the ArcGIS platform.

• Integrate vulnerability assessment and flood discharge models into the DSS.
• Test a Quasi-Dynamic Decision Support Tool Dashboard for Road Culverts Vulnerability Assessment using the Forest Service ArcGIS Enterprise portal.
• Develop functionalities for data input, visualization, and output reporting. 
• Conduct beta testing and incorporate user feedback for refinement.
• Finalize and deploy the tool.
• Ensure the tool is fast, runs smoothly for all users, and can cache raster data.
• Develop a user guide and tutorials. 

Phase 3: Training and Evaluation

In this phase, the team will monitor the effectiveness of the tool in real-world applications and prepare a final report summarizing project outcomes and recommendations for future improvements. The team will also conduct workshops on how to use the tool and interpret the results. The workshops will be designed for experts at the Forest Service, Department of Transportation, Environmental Protection Agency, U.S. Geological Survey, and other interested collaborators.  

Principal Investigators

Devendra M. Amatya

Sudhanshu panda, key personnel.

Sourav Mukherjee

Shawna L. Reid

Laura (lola) d. roghair, related programs.

Center for Forest Watershed Research (RWU-4353)

Publications.

• D. M. Amatya, S. Tian, D. A. Marion, P. Caldwell, S. Laseter, M. A. Youssef, J. M. Grace, G. M. Chescheir, S. Panda, Y. Ouyang, G. Sun, J. M. Vose. 2021. Estimates of precipitation IDF curves and design discharges for road-crossing drainage structures: Case study in four small forested watersheds in the southeastern US
• S.S. Panda, D.M. Amatya, J.M. Grace, P. Caldwell, D.A. Marion. 2022. Extreme precipitation-based vulnerability assessment of road-crossing drainage structures in forested watersheds using an integrated environmental modeling approach
• Sourav Mukherjee, Devendra M. Amatya, Anna M. Jalowska, John L. Campbell, Sherri L. Johnson, Kelly Elder, Sudhanshu Panda, Johnny M. Grace, Duncan Kikoyo. 2023. Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States
• Sourav Mukherjee, Devendra M. Amatya, John L. Campbell, Landon Gryczkowski, Sudhanshu Panda, Sherri L. Johnson, Kelly Elder, Anna M. Jalowska, Peter Caldwell, Johnny M. Grace, Dariusz Młyński, Andrzej Wałęga. 2024. A watershed-scale multi-approach assessment of design flood discharge estimates used in hydrologic risk analyses for forest road stream crossings and culverts
• R. B. Foltz, W. J. Elliot, N. S. Wagenbrenner. 2011. Soil erosion model predictions using parent material/soil texture-based parameters compared to using site-specific parameters