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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.
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
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 6 |

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