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

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

*Corresponding author for this work

Publication: Scientific journalJournal articlepeer-review


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.

Original languageEnglish
Article number21
JournalJournal of Biomedical Semantics
Issue number1
Publication statusPublished - Dec 2022
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Austrian Research Promotion Agency FFG under grant 877389 (OBARIS). Development and operation of DSW is supported from the ELIXIR CZ research infrastructure project (Ministry of Education, Youth and Sports grant No. LM2018131). SBA Research SBA-K1 is a COMET Centre within the framework of COMET – Competence Centers for Excellent Technologies Programme and funded by BMK, BMDW, and the federal state of Vienna; COMET is managed by FFG. The researchers from INESC-ID were supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UIDB/50021/2020, by project DRE, Imprensa Nacional - Casa da Moeda S.A. (INCM), and Portugal 2020. Finally, the authors would also like to thank the RDA for establishing the community that made this collaboration possible.

Publisher Copyright:
© 2022, The Author(s).


  • Data management plan
  • Machine-actionable data management plan
  • Ontology
  • Semantic web technologies

Cite this