Resource Directory

This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related reso...

The overall goal of FAIRsFAIR is to accelerate the realization of the goals of the European Open Science Cloud (EOSC) by compiling and disseminating all knowledge, expertise, guidelines, implementations, new trajectories, training and education on FAIR matters. FAIRsFAIR work package 4 (WP4) will...

This report presents the results of the first year of Task 2.3 from the FAIRsFAIR project. It gives guidelines to enable features for repositories which allow them not only to host FAIR digital objects, but also to be FAIR themselves. The recommendations were collected in the workshop “Building t...

FAIR-Aware is an online tool that helps researchers and data managers assess how much they know about the requirements for making their datasets findable, accessible, interoperable, and reusable (FAIR) before uploading them into a data repository. It also helps them to assess to what degree it is...

This article puts forward recommendations for data and infrastructure service providers to support findable, accessible, interoperable, and reusable (FAIR) research data within the scholarly ecosystem.

This guide provided by the SNSF gives an explanation of the FAIR principles and explains for each principle what are the researcher's responsibility and which requirements should be fulfilled by the repository.

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that...