FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards

« The current rise of Open Science and Reproducibility in the Life Sciences requires the creation of rich, machine-actionable metadata in order to better share and reuse biological digital resources such as datasets, bioinformatics tools, training materials, etc. For this purpose, FAIR principles have been defined for both data and metadata and adopted by large communities, leading to the definition of specific metrics. However, automatic FAIRness assessment is still difficult because computational evaluations frequently require technical expertise and can be time-consuming.As a first step to address these issues, we propose FAIR-Checker, a web-based tool to assess the FAIRness of metadata presented by digital resources. (…) »

source > hal.science, Alban Gaignard, Thomas Rosnet, Frédéric de Lamotte, Vincent Lefort, Marie-Dominique Devignes. FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards. Journal of Biomedical Semantics, 2023, 14 (1), pp.7

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