How Does Mendeley Data Relate to Mendeley?

Updated

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

Aspect Mendeley (core) Mendeley Data
Primary purpose Reference management and research workflow Sharing and discovering research datasets
Typical content Papers, ebooks, library records, reading archives Datasets and associated metadata
Main user action Organize sources, cite, search literature Deposit, publish, browse, and reuse data
Role in the platform The literature and citation layer The data layer that complements it

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.