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Common Minimum Metadata for FAIR Semantic Artefacts

Authors :
Jonquet, Clement
Dutta, Biswanath
Santos, Luiz O. Bonino da Silva
Pergl, Robert
Le Franc, Yann
WEB Architecture x Semantic WEB x WEB of Data (WEB3)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Indian Statistical Institute [Bangalore] (ISI)
University of Twente
Leiden University Medical Center (LUMC)
Universiteit Leiden
Czech Technical University in Prague (CTU)
e-Science Data Factory [Paris] (e-SDF)
RDA Vocabulary Semantic Services Interest Group
ANR-18-CE23-0017,D2KAB,Des Données aux Connaissances en Agronomie et Biodiversité(2018)
European Project: 831558,FAIRsFAIR
European Project: 101057344,FAIR-IMPACT
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

Semantic interoperability is crucial for the FAIR Principles and strongly relies on Semantic Artefacts that also need to be FAIR. To achieve this, semantic artefacts require rich, structured, and interoperable metadata. The challenge lies in determining the threshold for "rich metadata" and agreeing on a common minimum set. The H2020 FAIRsFAIR project and the RDA Vocabulary Semantic Services Interest Group addressed this question by developing a "minimal metadata model" for semantic artefacts. In this paper, we present background information, methodology, discussions and workshops which contribute to the establishment of the FAIRsFAIR minimum metadata profile for semantic artefacts. We present an extension of the Metadata for Ontology Description and Publication Ontology (MOD2.0) incorporating this profile as well as its implementation (SemanticDCAT-AP) and its use to build FAIRcat, a prototype of a FAIR Data Point harvesting the content of multiple semantic artefact catalogues.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......3379..0c54c627040a78cf556f60a454aabc54