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DCSO: towards an ontology for machine-actionable data management plans

J. Cardoso, LJ. Castro, FJ. Ekaputra, MC. Jacquemot, M. Suchánek, T. Miksa, J. Borbinha

. 2022 ; 13 (1) : 21. [pub] 20220726

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc22025156

Grantová podpora
UIDB/50021/2020 Fundação para a Ciência e a Tecnologia
UIDB/50021/2020 Fundação para a Ciência e a Tecnologia
877389 Austrial Research Promotion Agency FFG
877389 Austrial Research Promotion Agency FFG
LM2018131 Ministerstvo Školství, Mládeže a Tělovýchovy

The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a set of universal concepts characterising a DMP so it can be represented as a machine-actionable artefact, i.e., machine-actionable Data Management Plan (maDMP). The technology-agnostic approach of the current maDMP specification: (i) does not explicitly link to related data models or ontologies, (ii) has no standardised way to describe controlled vocabularies, and (iii) is extensible but has no clear mechanism to distinguish between the core specification and its extensions.This paper reports on a community effort to create the DMP Common Standard Ontology (DCSO) as a serialisation of the DCS core concepts, with a particular focus on a detailed description of the components of the ontology. Our initial result shows that the proposed DCSO can become a suitable candidate for a reference serialisation of the DMP Common Standard.

Citace poskytuje Crossref.org

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