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InteractiveResource . 2024
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FAIRness assessment of datasets and ontologies at Eurac Research

Authors: Vianello, Andrea; Chuprikova, Ekaterina; Linés, Clara;

FAIRness assessment of datasets and ontologies at Eurac Research

Abstract

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)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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