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

Autor: João Cardoso, Leyla J. Castro, Fajar J. Ekaputra, Marie C. Jacquemot, Marek Suchánek, Tomasz Miksa, José Borbinha
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-12 (2022)
Druh dokumentu: article
ISSN: 2041-1480
DOI: 10.1186/s13326-022-00274-4
Popis: Abstract 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.
Databáze: Directory of Open Access Journals
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