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.

DMP OPIDoR R Jean Zay 2 Vandoeuvre lès Nancy 54519 France

Faculty of Information Technology Czech Technical University Prague Thákurova 9 Prague 160 00 Czechia

INESC ID R Alves Redol 9 Lisboa 1000 029 Portugal

Inist CNRS R Jean Zay 2 Vandoeuvre lès Nancy 54500 France

Instituto Superior Técnico Universidade de Lisboa Av Rovisco Pais 1 Lisboa 1049 001 Portugal

SBA Research Floragasse 7 Vienna 1040 Austria

TU Wien Karlsplatz 13 Vienna 1040 Austria

ZB MED Information Centre for Life Sciences Gleueler Straße 60 Cologne 50931 Germany

See more in PubMed

Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten J-W, da Silva Santos LB, Bourne PE, et al. The fair guiding principles for scientific data management and stewardship. Sci Data. 2016;3(1):1–9. doi: 10.1038/sdata.2016.18. PubMed DOI PMC

Surkis A, Read K. Research data management. J Med Libr Assoc JMLA. 2015;103(3):154. doi: 10.3163/1536-5050.103.3.011. PubMed DOI PMC

Michener WK. Ten simple rules for creating a good data management plan. PLoS Comput Biol. 2015;11(10):1004525. doi: 10.1371/journal.pcbi.1004525. PubMed DOI PMC

Simms S, Jones S, Mietchen D, Miksa T. Machine-actionable data management plans (madmps) Res Ideas Outcome. 2017;3:13086. doi: 10.3897/rio.3.e13086. PubMed DOI PMC

Miksa T, Simms S, Mietchen D, Jones S. Ten Principles for Machine-actionable Data Management Plans. PLoS Comput Biol. 2019;15(3):1006750. doi: 10.1371/journal.pcbi.1006750. PubMed DOI PMC

Miksa T, Oblasser S, Rauber A. Automating research data management using machine-actionable data management plans. ACM Trans Manag Inf Syst. 2021; 13(2). 10.1145/3490396.

Suchánek M, Pergl R. Data stewardship wizard for open science. In Data A Znalosti WIKT 2018, pages 121–125, Brno, Czech Republic, 2018. Vysoké učení technické v Brně. ISBN 978-80-214-5679-2.

Cardoso J, Castro LJ, Miksa T. Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report. Data Sci J. 2021; 20. 10.5334/dsj-2021-035.

Studer R, Benjamins VR, Fensel D, et al. Knowledge engineering: principles and methods. Data Knowl Eng. 1998;25(1):161–98. doi: 10.1016/S0169-023X(97)00056-6. DOI

Lenzerini M, Milano D, Poggi A. Ontology representation & reasoning. Universit di Roma La Sapienza, Roma, Italy, Tech. Rep. NoE InterOp (IST-508011). 2004.

Allemang D, Hendler J. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2 edition, 2011. ISBN 9780123859655.

Jain P, Hitzler P, Sheth AP, Verma K, Yeh PZ. Ontology Alignment for Linked Open Data. In: , et al. The Semantic Web – ISWC 2010. ISWC 2010. Lecture Notes in Computer Science, vol 6496. Springer, Berlin, Heidelberg; 2010.10.1007/978-3-642-17746-0_26.

International Organization for Standardization. ISO 3166-1:2020 Codes for the representation of names of countries and their subdivisions — Part 1: Country code. International Organization for Standardization, Geneva, CH, 4 edition, 2020.

International Organization for Standardization. ISO 4217:2015 Codes for the representation of currencies. Geneva: International Organization for Standardization, CH, 8 edition; 2015.

Baker T, Prud’hommeaux E. Shape Expressions (ShEx) Primer. Technical report. 2019. https://shexspec.github.io/primer/.

Knublauch H, Kontokostas D. Shapes constraint language (SHACL). Technical report, W3C, July 2017. https://www.w3.org/TR/shacl/.

Gayo JEL, Fernández-Álvarez D, García-González H. RDFShape: An RDF Playground Based on Shapes. In: van Erp M, Atre M, López V, Srinivas K, Fortuna C, editors. Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th, 2018. vol. 2180 of CEUR Workshop Proceedings. CEUR-WS.org; 2018. http://ceur-ws.org/Vol-2180/paper-35.pdf.

Labra Gayo JE, Ulibarri Toledo E, Menéndez Suárez P. Shaclex/RDFShape — Playground for RDF, ShEx, SHACL and more. http://shaclex.herokuapp.com.

Pergl R, Hooft RWW, Suchánek M, Knaisl V, Slifka J. “Data stewardship wizard”: A tool bringing together researchers, data stewards, and data experts around data management planning. Data Sci J. 2019;18:59. doi: 10.5334/dsj-2019-059. DOI

Suchánek M, Basajja M. VODAN in a Box: Proof of Concept. Zenodo. 2020. 10.5281/zenodo.4321626.

Koumoulos EP, Sebastiani M, Romanos N, Kalogerini M, Charitidis C. Data Management Plan template for H2020 projects (v01.100419). Zenodo. 2019. 10.5281/zenodo.2635768.

Koumoulos EP, Sebastiani M, Romanos N, Kalogerini M, Charitidis C. Data Management Plan template for H2020 projects. Zenodo. 2019. 10.5281/zenodo.2635768.