data.mendeley.com

Mendeley Data is the research-data component of the broader Mendeley platform. Mendeley is best known as a reference manager and academic workflow tool (collecting papers, generating citations, and supporting literature discovery), while Mendeley Data is where researchers publish, share, and discover datasets. In short: Mendeley handles the literature side of research; Mendeley Data handles the data side. If your question is "where do I put my dataset so others can find and cite it?" that is Mendeley Data. If your question is "where do I manage my PDFs and citations?" that is the main Mendeley service.

The relationship in one view

The two are complementary rather than competing: a researcher might use Mendeley to track the papers that cite a dataset, and use Mendeley Data to make that dataset publicly available and citable in the first place.

How they fit together in practice

1. Literature vs. data

Mendeley's core strength is helping you search and manage books, ebooks, papers, library records, and reading archives. Mendeley Data extends the same research ecosystem to the outputs that aren't papers — the underlying datasets. This matters because modern research often needs both: the article and the data behind it.

2. Discovery works in both directions

• Through Mendeley, you discover the literature.
• Through Mendeley Data, you discover the datasets. A reader who finds a paper can look for its associated dataset, and a reader who finds a dataset can trace the publications that use it.

3. One platform, two jobs

Because both sit under the Mendeley name, they share the goal of supporting the research lifecycle — from finding sources, to managing them, to sharing the data that supports new findings.

Who this distinction matters for

• Researchers preparing a publication: you may need Mendeley for citations and Mendeley Data to deposit the supporting dataset.
• Librarians and repository staff: Mendeley covers reading and library records; Mendeley Data covers dataset sharing and discovery.
• Students and early-career researchers: understanding that these are two functions of one platform prevents confusion about where to upload or where to search.

Common points of confusion

• "Is Mendeley Data a separate product?" It functions as a distinct service focused on datasets, but it belongs to the same Mendeley platform and complements its other tools.
• "Do I use it instead of Mendeley?" No — it addresses a different need. You would not replace your reference manager with a data repository, nor vice versa.
• "Why does the platform cover both?" Because research output includes both publications and the data behind them, and Mendeley positions itself across that whole workflow.

Bottom line

Mendeley Data is the dataset-sharing and discovery arm of Mendeley. Mendeley manages your literature and citations; Mendeley Data manages and exposes your research data. They are two parts of one platform, designed to cover complementary stages of the research process rather than to substitute for each other.

Mendeley Data is for researchers who need to publish or share datasets, and for students, scholars, and other users who want to find reusable research data. It also suits anyone searching papers, books, ebooks, library records, or reading archives, and anyone who needs help with research data management or discovery.

The Core Audiences

Researchers Publishing or Sharing Data

If you have produced a dataset as part of a study and need a place to deposit it, Mendeley Data is built for that task. Publishing a dataset makes it citable and discoverable, which matters when you want your underlying data to be findable alongside your paper.

Students and Scholars Looking for Reusable Data

If you need data you did not collect yourself — for a thesis, a replication, a secondary analysis, or a class project — Mendeley Data is a place to search for datasets others have shared. The value here is reuse: you avoid recollecting data that already exists and can build on published work.

Users Searching Papers, Books, Ebooks, Library Records, or Reading Archives

Mendeley Data also supports searching across these material types. If your task is locating a paper, a book or ebook, a library record, or a reading archive, this is one of the entry points you can use.

Anyone Needing Research Data Management or Discovery

If your need is broader — organising, managing, or discovering research data rather than a single search — Mendeley Data fits that general purpose as well.

Quick Fit Check

What to Do Next

• If you are publishing: prepare your dataset and deposit it so it can be cited and discovered.
• If you are searching: start from the material type you need — dataset, paper, book or ebook, library record, or reading archive.
• If you are managing data: treat Mendeley Data as your discovery and management entry point.

The deciding factor is simple: if your work involves sharing research data or finding data and scholarly materials to reuse, Mendeley Data is aimed at you.

Mendeley Data is a research data repository you can use to find datasets published by other researchers and to publish and share your own. It is most useful when you need a citable home for research data, want to discover datasets connected to a field of study, or need to make data available alongside a paper. It is not a general search engine for books, ebooks, or library catalogues, despite how some descriptions of the site are worded.

Finding and accessing research datasets

The core use is discovery. You can search for datasets by topic, browse by subject area, and open individual records to see the files, description, and version history. Each published dataset gets a DOI, which means you can cite it in a paper or reference list the same way you cite an article.

Typical tasks:

• Locate a dataset cited in a paper you are reading
• Check whether reusable data already exists before collecting your own
• Download files to reproduce or extend someone else's analysis
• Verify the exact version of a dataset that a published result was based on

When you open a dataset record, expect to see a description, contributor names, licence terms, and the files themselves. Licence and access conditions are set by the depositor, so check them before reuse rather than assuming open reuse.

Publishing and sharing your own data

The second main use is depositing data so others can find and cite it. This suits researchers who need a persistent identifier, a stable landing page, and a place to attach files that is separate from a journal's supplementary material.

A typical deposit flow looks like this:

1. Create or sign in to an account.
2. Start a new dataset and give it a title and description.
3. Upload files and add any supporting documentation (codebook, README, methods notes).
4. Choose the licence and visibility settings.
5. Publish to generate a DOI.

The expected result is a public, citable record. Before publishing, confirm that your funder, journal, or institution accepts this repository, and check whether your data contains anything that must be restricted.

What it is not for

Some third-party descriptions of the site mention searching books, ebooks, papers, library records, or reading archives. Treat that as a description of a broader reference-management product family rather than of the data repository itself. If your goal is literature search or managing a personal reading library, a reference manager or a library catalogue is the right tool. If your goal is the data behind the research, this repository is the right tool.

Choosing whether to use it

Practical points before you commit

• Read the licence on any dataset you download; reuse terms vary by depositor.
• Cite the dataset version you actually used, not just the latest one.
• For deposits, prepare documentation before uploading — a dataset without a description or codebook is hard for others to reuse.
• Confirm institutional or funder requirements, since not every policy names this repository as an approved destination.

Mendeley Data is a platform for publishing, sharing, and discovering research datasets. It is aimed at researchers who need a place to deposit data or who want to find datasets produced by others. The site also describes itself as helping users search books, ebooks, papers, library records, or reading archives, so it sits within a broader research-tool ecosystem rather than functioning only as a data repository.

What you can do on Mendeley Data

The platform supports two main activities:

• Publishing and sharing datasets — researchers can deposit research data so it can be cited, reused, or preserved.
• Discovering datasets — anyone can search for datasets that others have made available.

The site's own description extends the search scope beyond datasets to books, ebooks, papers, library records, and reading archives, which makes it useful as a starting point for locating research material, not just raw data.

Who it is for

Mendeley Data is primarily built for researchers. Typical situations include:

• You have collected data for a study and need somewhere to publish it alongside a paper.
• You want to find an existing dataset to reuse or compare against your own results.
• You are looking for related literature, records, or reading material while researching a topic.

How it fits into the Mendeley ecosystem

Mendeley Data is operated by Mendeley, which is part of a wider set of research tools. If you already use Mendeley for reference management, the data platform is a natural companion for handling the datasets that accompany your work.

Practical starting points

If you are new to the platform, the most direct way to understand it is to use it:

1. Go to data.mendeley.com.
2. Use the search to look for a dataset in your field and see how records are presented.
3. If you have data to share, look for the option to publish or deposit a dataset and follow the submission steps shown on the site.

Because the available source material does not include details on pricing, account requirements, or specific submission menus, check those directly on the site before relying on any assumption about cost or login.