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 gain access to the F-UJI online test service, please contact developers Anusuriya Devaraju and Robert Huber
 

Pilot Repository

Certification

Subject Areas

Repository
Representatives

CoreTrustSeal
WDS Regular Member

Earth and Environmental Science

Uwe Schindler
Michael Diepenbroek

CoreTrustSeal

Cultural Heritage

Yuri Carrer
Cristiana Bettella
GianLuca Drago
Giulio Turetta

CoreTrustSeal

Multiple disciplines

Mikaela Lawrence
Dominic Hogan
Cynthia Love

CoreTrustSeal
WDS Regular Member

Earth System Science

Andrej Fast
Amandine Kaiser
Hannes Thiemann

CoreTrustSeal

Multiple disciplines

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

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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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