FAIRness of the current ELIXIR Core resources: Application (and test) of newly available FAIR metrics, and identification of steps to increase interoperability (2018-FAIRCDR)

The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reusability of digital resources. While the principles have enjoyed rapid uptake across communities (ELIXIR, G20, EOSC, H2020, NIH), the implementation details remain unclear.

Recently, we developed a prototype software infrastructure and a set of metrics to assess the FAIRness of digital resources (http://fairmetrics.org/). In this ELIXIR Implementation Study we will put these into practice for the ELIXIR community by starting to FAIRify ELIXIR Core Data Resources ArrayExpress, ENA, PDBe, PRIDE, CatH, CHEMBL, ChEBI, UNIPROT, HPA, INTERPRO, MINT, and STRING-db.

Our study will first establish effective guidelines for implementation, then involve hands-on FAIRification workshops, in which FAIRness will be assessed before and after the work done. Our work will raise awareness around what it takes to be FAIR, and to help drive interoperability between core ELIXIR resources and with efforts outside of ELIXIR.


1 June 2018 to 31 May 2019

Nodes involved: