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.
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.
Recognizing researchers exemplifying FAIR data
Read our interviews with researchers using Mendeley Data
- All published datasets are assigned a DOI
- Deep indexing of over 10 million datasets from more than 35 repositories
- All data can be shared publicly under one of 16 licences or privately with colleagues
- Data is accessible via Mendeley Data APIs
- 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
- 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