FAIRsFAIR has launched F-UJI, an online FAIRness assessment of published research datasets. The tool is based on 14 out of 15 core FAIR object assessment metrics developed within the project.
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).
Designed for use in data repositories, F-UJI was developed by FAIRsFAIR partner MARUM and was officially unveiled at a webinar on 1 October. The source code is now available with a free license through Github.
To gain access to the F-UJI online test service, please contact developers Anusuriya Devaraju and Robert Huber.
Any feedback on improving the tool and associated metrics can be added as issues in the Github page.
F-UJI is the newest addition to the FAIRsFAIR Tools and Software Series and joins FAIR-Aware, launched in June 2020 to enable researchers and data managers self assess their level of awareness of the requirements for making datasets findable, accessible, interoperable, and reusable (FAIR) before uploading them into a data repository.