Resource Directory

The meeting is co-organised by FAIRsFAIR, SSHOC and EOSC-Nordic. All of these projects have offered support to repositories who are seeking certification as a TDR, and are seeking to sustain the efforts. These initial groups of support providers and receivers could provide the seed for the initia...

On April 21, 2022, the DANS Data Trail Explore new tools for your FAIR toolkit took place. During the workshop, we looked back on selected highlights that FAIRsFAIR has contributed to the international journey towards more FAIR data and zoomed in on two concrete tools: F-UJI - for assessing the F...

The effective exchange of metadata is critical for supporting a FAIR data ecosystem where researchers can seamlessly search for and access research data held in multiple repositories. This becomes tricky when research data from different scientific disciplines are ingested, using a variety of sta...

The main aim of CoreTrustSeal (CTS) is to assess the trustworthiness of a research data repository. This trustworthiness certainly has a relation with the long-term access to digital objects managed by a data repository. This webinar provides an overview of the digital preservation related aspect...

This draft working paper has been prepared by members of the SSHOC, EOSC Nordic and FAIRsFAIR projects working on related topics. It seeks to present some key concepts and expand on them to specify the standards and assessments required for an interoperable ecosystem of FAIR (findable, accessible...

Assessing the FAIRness of your repository's data holdings can help you to identify areas where your service could be optimised to become more FAIR-enabling. This webinar will introduce the F-UJI assessment tool (https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool) which was develop...

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...

F-UJI is based on a web service to programmatically assess the FAIRness of research data objects based on the FAIRsFAIR Data Object Assessment Metrics. The tool allows assessing the FAIRness of research data at the dataset level.

This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform<br> repositories seeking to enable FAIR data. Feedback is welcomed either directly to the authors or on the Google Doc. Further context is presented in the FAIRsFAIR project milestone: https://doi.org/10....

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...