FAIRsFAIR has developed F-UJI, a service based on REST, and is 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 FAIRsFAIR 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 re3data1 and Datacite2 APIs, SPDX License List3, RDA Metadata Standards Catalog4, and Linked Open Vocabularies (LOV)5   For information on the practical tests implemented against the metrics, see Devaraju, Huber, et al., 2020.

The source code is now available with a free license through Github. Any feedback on improving the tool and associated metrics can be added as an issue on Github.


To test the F-UJI online test service please visit the new web demo client.
For more details on the tool, please contact
 Robert Huber


Pilot Repository


Subject Areas


WDS Regular Member

Earth and Environmental Science

Uwe Schindler
Michael Diepenbroek


Cultural Heritage

Yuri Carrer
Cristiana Bettella
GianLuca Drago
Giulio Turetta


Multiple disciplines

Mikaela Lawrence
Dominic Hogan
Cynthia Love

WDS Regular Member

Earth System Science

Andrej Fast
Amandine Kaiser
Hannes Thiemann


Multiple disciplines

Philipp Conzett (Uit/DataverseNO)
Gustavo Durand (Harvard/Dataverse)
Julian Gautier (Harvard/Dataverse)


Multiple disciplines

Laura Huis in ‘t Veld
Marion Wittenberg
Paul Boon



Screenshots of the tool below


1 https://www.re3data.org
2 https://support.datacite.org/docs/api
3 https://spdx.org/licenses
4 https://rdamsc.bath.ac.uk
5 https://lov.linkeddata.es/dataset/lov/

All the presentation and the slidedeck are available online here

F-UJI webinar presentation


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