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

Abstract:
        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.

SEEK ID: https://seek.simpathic.services/publications/1

DOI: 10.1186/s13326-022-00274-4

Projects: Sandbox

Publication type: Journal

Journal: Journal of Biomedical Semantics

Citation: J Biomed Semant 13(1),21

Date Published: 1st Dec 2022

Registered Mode: by DOI

Authors: João Cardoso, Leyla J. Castro, Fajar J. Ekaputra, Marie C. Jacquemot, Marek Suchánek, Tomasz Miksa, José Borbinha

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Citation
Cardoso, J., Castro, L. J., Ekaputra, F. J., Jacquemot, M. C., Suchánek, M., Miksa, T., & Borbinha, J. (2022). DCSO: towards an ontology for machine-actionable data management plans. In Journal of Biomedical Semantics (Vol. 13, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1186/s13326-022-00274-4
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Created: 15th Dec 2023 at 15:47

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