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FAIR-Checker : Checking and inspecting metadata for FAIR bioinformatics resources

Authors: Rosnet, Thomas; Devignes, Marie-Dominique; Lefort, Vincent; De Lamotte, Frédéric; Gaignard, Alban;

FAIR-Checker : Checking and inspecting metadata for FAIR bioinformatics resources

Abstract

FAIR-Checker is a web interface (https://fair-checker.france-bioinformatique.fr) aimed at empowering scientists in their FAIRification process. The “Check” page provides a global assessment and recommendations. The “Inspect” page helps users in improving metadata quality leveraging semantic web standards and technologies. For each evaluated resource, we build a knowledge graph based on embedded RDF triples (microdata, json-ld), as well as external knowledge (public SPARQL endpoints). To evaluate metadata quality, we check that used ontology terms are declared in reference registries. Finally, we take advantage of Bioschemas profiles to automatically generate and evaluate SHACL constraints. Users are informed on missing, required or recommended metadata for specific types of resources.

Country
France
Keywords

FAIR Data, Open Science, Linked Data, Metrics, Knowledge Graphs, Guidelines, SPARQL, SHACL, Automated FAIR Assessment, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], RDF

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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