What does the resource contain?
FAIR Assessment Tools help researchers and developers systematically evaluate how well their research outputs align with the FAIR principles. FAIR stands for Findable, Accessible, Interoperable, and Reusable, which are guiding principles for improving the management and stewardship of scientific data and digital objects.
By running datasets or software through FAIR assessment tools, users obtain structured reports, quantitative scores, and actionable feedback. This helps identify gaps in compliance with FAIR principles and provides guidance for making research outputs more discoverable, usable, and sustainable over the long term.
On the linked website of FAIR-IMPACT, you find a list of FAIR-assessment tools, each with a different focus: While F-UJI is a web service to programmatically assess FAIRness of research data objects at the dataset level, FAIR-Aware helps you assess your knowledge of the FAIR Principles, O’FAIRe (Ontology FAIRness Evaluator) is a metadata-based automatic FAIRness assessment methodology for ontologies and semantic artefacts, and FOOPS! (Ontology Pitfall Scanner for FAIR) is a tool for assessing FAIRness level for ontologies.
Since software requires different considerations when it comes to theoretically and practically designing FAIR, specified metrics for software are necessary. The linked FAIR-impact metrics for software guide this specified assessment.
How can the resource be applied?
- Check a dataset before publication to improve metadata and accessibility.
- Demonstrate FAIR compliance in project deliverables.
- Teach FAIR principles in workshops with hands-on assessments.
- Evaluate software sustainability using dedicated FAIR metrics.
Credits
All information and tools listed above stem from the FAIR-IMPACT website.