Minimum metadata for FAIR Semantic artefacts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00366639" target="_blank" >RIV/68407700:21240/23:00366639 - isvavai.cz</a>

Výsledek na webu

<a href="https://ontocommons.eu/news-events/events/second-global-workshop-ontocommons-addressing-challenges-industry-50-transition" target="_blank" >https://ontocommons.eu/news-events/events/second-global-workshop-ontocommons-addressing-challenges-industry-50-transition</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Minimum metadata for FAIR Semantic artefacts

Popis výsledku v původním jazyce

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 talk, we present background information, methodology, and results contributing to the establishment of the FAIRsFAIR minimum metadata profile for semantic artefacts, its machine-readable implementation (SemanticDCAT-AP) and the first application (FAIRcat).

Název v anglickém jazyce

Minimum metadata for FAIR Semantic artefacts

Popis výsledku anglicky

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 talk, we present background information, methodology, and results contributing to the establishment of the FAIRsFAIR minimum metadata profile for semantic artefacts, its machine-readable implementation (SemanticDCAT-AP) and the first application (FAIRcat).

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů