FAIRness assessment of datasets and ontologies at Eurac Research

A team from Eurac Research assessed the FAIRness of a dataset hosted in their Environmental Data Platform using F-UJI and an ontology using O’FAIRe. After an initial low score in F-UJI, they implemented signposting to improve the machine interoperability of their metadata catalogue.

We selected a dataset formed by a collection of processed remote sensing images to assess with the F-UJI tool and our Apple Trait ontology, which was already published in the AgroPortal, to be tested with O’FAIRe.

Supported applicant: Andrea Vianello and Ekaterina Chuprikova, Eurac Research

FAIR-IMPACT Support: Clara Linés | Digital Curation Centre (DCC)