Research Better: 6 Best AI Tools for Research Efficiency
Jan 25, 2024 |
9 Mins Read
The increased usage of AI tools has sparked many conversations in the world of academia, which inspired the innovation of AI tools for research. The integration of technology in academia has brought innovation that introduced digital libraries, plagiarism trackers and grammar-checking softwares, this changed the way researchers write and discover academic literature. In recent years, the academic sphere has witnessed the rapid growth and implementation of AI, which we believe can be leveraged to create efficiency in research.
As an AI-powered research library, Zendy provides key tools like summarisation and keyphrase highlighting to streamline the process of literature review, we also developed and launched ZAIA, the AI research assistant. These tools have been designed to create efficiency in research, which allows researchers to invest significant time in data analysis and their primary research.
With the growing integration of AI products, we believe in the ethical use of AI in the world of research while also leveraging this technology to streamline research processes for students and researchers alike. Ethical AI practices are essential for building tools that are both trustworthy and effective.
On the other hand, according to our latest survey, AI in Education for Students and Researchers: 2025 Trends and Statistics, 73.6% use AI in research, 51% use it for literature review and 46.3% of students and researchers are using AI tools for writing and editing, showing just how quickly these tools are being adopted.
However, some of the AI ethical issues remind us that without proper guidelines, these tools risk compromising the integrity of research. Notably, slightly less than a third of students still do not use AI tools for research at all.
In this blog, we recommend the 6 best AI-driven tools to assist you with annotating, citing and more!
1. ZAIA - AI Assistant for Research
ZAIA is a domain-specific LLM designed to assist researchers in understanding essential research concepts and finding relevant papers. This tool enhances the efficiency of the literature review process, providing answers backed by millions of academic research papers.
Housing over 200 million papers from all fields of science, this tool generates a comprehensive summary of an academic paper, including the area of study the research addressed and its overall impact on the discipline.
3. Paperguide
Paperguide is an all-in-one AI workspace for researchers to conduct literature reviews, understand and extract data from scientific papers, collaborate, manage and write research.
4. Tableau
This tool generates data visualisation and analytical tools for businesses and researchers. The platform is equipped with Einstein AI which is driven by machine learning and delivers predictions and recommendations within Tableau workflows to assist with efficient decision-making.
5. Scite.ai
This is a well-rounded citation tool that provides context to citations by clearly stating whether an academic paper supports or contrasts the cited claim. This helps researchers save time having to read lengthy papers and quickly determine whether the citation is relevant to their research.
6. Consensus AI
This tool annotates insights about research papers using AI. It produces “study snapshots” to condense lengthy research papers by mentioning study aims, variables, and findings. The platform also provides credible responses backed by academic papers to queries, by presenting research papers that both support and contrast the query, allowing users to browse through objective responses.
Limitations of AI Tools
While AI tools are effective in streamlining research processes, they raise ethical concerns and can impact research integrity if misused. AI raises ethical issues including data privacy, algorithm bias and misuse of AI. However, due to the increasing usage of AI tools, policies are developing quickly to ensure the technology is adequately regulated.
Tips for Using AI Tools in Research
Follow these recommendations to ensure ethical AI usage:
- Always fact-check content generated by AI tools
- Do not write academic articles using AI tools. Instead, use these tools to edit and structure original research content.
- Do not use AI tools to generate references, instead use it to manage and store the references.
- Use AI tools that produce accurate results.
- Incorporate your own voice and style of written content as much as possible.
In conclusion, AI is a resourceful innovation in academic research when used ethically. The correct and responsible usage of AI can create immeasurable efficiency in research processes, and aid in citation management, resource annotation, data visualization, literature discoverability and summarisation.
Discover a comprehensive suite of AI-driven tools like summarisation, keyphrase highlighting and ZAIA - AI assistant for research on Zendy now.
5 Tools Every Librarian Should Know in 2025
The role of librarians has always been about connecting people with knowledge. But in 2025, with so much information floating around online, the challenge isn’t access, it’s sorting through the noise and finding what really matters. This is where AI for libraries is starting to make a difference. Here are five that are worth keeping in your back pocket this year. 1. Zendy Zendy is a one-stop AI-powered research library that blends open access with subscription-based resources. Instead of juggling multiple platforms, librarians can point students and researchers to one place where they’ll find academic articles, reports, and AI tools to help with research discovery and literature review. With its growing use of AI for libraries, Zendy makes it easier to summarise research, highlight key ideas, and support literature reviews without adding to the librarian’s workload. 2. LibGuides Still one of the most practical tools for librarians, LibGuides makes it easy to create tailored resource guides for courses, programs, or specific assignments. Whether you’re curating resources for first-year students or putting together a subject guide for advanced research, it helps librarians stay organised while keeping information accessible to learners. 3. OpenRefine Cleaning up messy data is nobody’s favourite job, but it’s a reality when working with bibliographic records or digital archives. OpenRefine is like a spreadsheet, but with superpowers, it can quickly detect duplicates, fix formatting issues, and make large datasets more manageable. For librarians working in cataloguing or digital collections, it saves hours of tedious work. 4. PressReader Library patrons aren’t just looking for academic content; they often want newspapers, magazines, and general reading material too. PressReader gives libraries a simple way to provide access to thousands of publications from around the world. It’s especially valuable in public libraries or institutions with international communities. 5. OCLC WorldShare Managing collections and sharing resources across institutions is a constant task. OCLC WorldShare helps libraries handle cataloguing, interlibrary loans, and metadata management. It’s not flashy, but it makes collaboration between libraries smoother and ensures that resources don’t sit unused when another community could benefit from them. Final thought The tools above aren’t just about technology, they’re about making everyday library work more practical. Whether it’s curating resources with Zendy, cleaning data with OpenRefine, or sharing collections through WorldShare, these platforms help librarians do what they do best: guide people toward knowledge that matters. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
Balancing AI Efficiency with Human Expertise in Libraries
AI in libraries is making some tasks quicker and less repetitive. However, even with these advances, there’s something irreplaceable about a librarian’s judgment and care. The real question isn’t whether AI will take over libraries, it’s how both AI and librarians can work side by side. How AI Helps in Libraries According to Clarivate Pulse of the Library 2025 survey, among 2,000 academic library professionals globally, many said they don’t have enough time or budget to learn new tools or skills, a challenge made even harder as global digital content is projected to double every two years. Here’s where AI tools for librarians prove useful: Cataloguing: AI can scan metadata and suggest subject tags in minutes. Search: Smarter search systems help students and researchers find relevant materials without digging through dozens of irrelevant results. Day-to-day tasks: Think overdue notices, compiling basic reading lists, or identifying key sources and trends to support literature reviews. This is where library automation with AI comes in handy. Instead of replacing people, these tools free up time. A librarian who doesn’t have to spend hours sorting through data can focus on supporting students, curating collections, analysing usage statistics to make informed decisions or tracking resource usage against budgets. Where Human Expertise Still Matters AI is fast, but it’s not thoughtful. A student asking, “I’m researching migration patterns in 19th-century Europe, where do I start?” gets much more from a librarian than from a search algorithm. Librarians bring context, empathy, and critical thinking that machines can’t replicate. This is why human-AI collaboration in libraries makes sense. AI takes care of the routine. Humans bring the nuance. Together, they cover ground neither could manage alone. Finding the Balance So how do libraries get this balance right? A few ideas: Think of AI as a helper – not a replacement for staff. Invest in training – librarians need to feel confident using AI tools and knowing when not to rely on them. Keep the focus on people – the goal isn’t efficiency for its own sake, it’s about better service for students, researchers, and communities. Final Thoughts By using AI to handle routine administrative tasks like cataloguing, managing records, or tracking resource usage, librarians free up time to focus on the part of the job that drew them to this profession in the first place: supporting researchers and students, curating meaningful collections, and fostering learning. Combining the efficiency of AI in libraries with the expertise of librarians creates a future where technology supports the human side of education. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
How AI in Higher Education Is Helping Libraries Support Research
Libraries have always been at the centre of knowledge in higher education. Beyond curating collections, librarians guide researchers and students through complex databases, teach research skills, and help faculty navigate publishing requirements. They also play a key role in managing institutional resources, preserving archives, and ensuring equitable access to information. These days, libraries are facing new challenges: huge amounts of digital content, tighter budgets, and more demand for remote access. In this environment, AI in higher education is starting to make a real difference. How AI Makes Life Easier for Librarians Improving Discovery AI-powered search tools don’t just look for keywords, they can understand the context of a query. That means students and researchers can find related work they might otherwise miss. It’s like having an extra set of eyes to point them toward useful sources. Helping with Curation AI can go through thousands of articles and highlight the ones most relevant to a specific course, project, or research topic. For example, a librarian preparing a reading list for a history class can save hours by letting AI suggest the most relevant papers or reports. Supporting Remote Access Students, researchers and faculty aren’t always on campus. AI can summarise long articles, translate content, or adjust resources for different reading levels. This makes it easier for people to get the information they need, even from home. Working Within Budgets Subscriptions remain a major expense for libraries, and ongoing budget cuts are forcing many academic institutions to make difficult choices about which resources to keep or cancel. For example, recent surveys show that around 73% of UK higher education libraries are making budget cuts this year, sometimes slashing up to 30% of their overall budgets, and collectively spending £51 million less than the previous year. This trend is not limited to the UK, universities in the U.S. and elsewhere are also reducing library funding, which has dropped by nearly 20% per student over recent years. Even top institutions like Princeton have cut library hours and student staffing to save on costs. Subscriptions can be expensive, and libraries often have to make tough choices. AI tools that work across large collections help libraries give students and researchers more access without adding extra subscriptions. Trusted Content Still Matters AI is helpful, but the resources behind it are just as important. Librarians care about trusted, peer-reviewed, and varied sources. Librarians and AI: A Partnership AI isn’t replacing librarians. Instead, it supports the work they already do. Librarians are the ones who guide researchers, check the quality of sources, and teach information skills. By using AI tools, librarians can make research easier for students, researchers and faculty, and they can help their institutions make the most of the resources they have. Final Thoughts AI in higher education is making it easier for libraries to support students and faculty, but librarians are still at the centre of the process. By using AI tools alongside strong content collections, libraries can save time, offer more resources, and help researchers find exactly what they need. With the right AI support, research becomes easier to navigate and more accessible without overcomplicating the process. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
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