F-UJI is a service based on REST, piloting a programmatic assessment of the FAIRness of research datasets in five trustworthy data repositories. The F-UJI assessment is based on 16 out of 17 core FAIR object assessment metrics developed within the FAIRsFAIR project and each corresponding to a part or the whole of a FAIR principle.
F-UJI adheres to existing web standards and PID resolution services best practices and utilises external registries and resources such as re3data and Datacite APIs, SPDX License List, RDA Metadata Standards Catalog, and Linked Open Vocabularies (LOV).
Who is the service for
Level at which the tool/solution/approach is intended to be used
Data service provider (e.g., repositories, registry services)
Main users: Repository or Service Managers
Expertise needed: No specific expertise needed.
Implementation stories
Read real-life examples of using F-UJI
FAIRness assessment as a catalyst of chemistry research repository transformation in Germany
Making the metadata machine-readable to increase FAIRness of medical data in Poland
Multimedia reference F-UJI public website
Contact information
