FAIR data with Mendeley Data

The storage, preservation, accessibility and citation of research data is an essential aspect of creating reusable scholarly output.

In 2016, the FAIR data principles were published to offer guidelines to support communities’ needs on data sharing and improve data “Findability, Accessibility, Interoperability and Reuse”.

Discover how Elsevier is committed to making data effective.

The storage, preservation, accessibility and citation of research data is an essential aspect of creating reusable scholarly output.


Your data is FAIR with Mendeley Data

When collaborating with the research community to develop Mendeley Data, we followed the FAIR data principles to increase the exposure of research data.

Download our infographic to see how you can make your data FAIR with Mendeley Data.

Making your data FAIR  with Mendeley Data Thumbnail

Recognizing researchers exemplifying FAIR data

Recognizing researchers exemplifying FAIR data

Read our interviews with researchers using Mendeley Data

Spotlight lighting FAIR data and the researchers behind it
We don’t want data sitting in our desk, says tropical cyclone researcher


Findable

  • All published datasets are assigned a DOI
  • Deep indexing of over 10 million datasets from more than 35 repositories

Accessible

  • All data can be shared publicly under one of 16 licences or privately with colleagues
  • Data is accessible via Mendeley Data APIs

Interoperable

  • Data can be pushed or pulled via the Mendeley Data APIs
  • Mendeley Data accepts a vast number of different file formats to be added to datasets

Reusable

  • Deep indexing and customizable metadata ensures datasets are thoroughly documented for reuse
  • Institutions and communities can add specific custom metadata fields relevant for that domain
  • Steps-to-reproduce the data are part of the data description