Data Science Journal (Oct 2021)

Application Profile for Machine-Actionable Data Management Plans

  • Tomasz Miksa,
  • Paul Walk,
  • Peter Neish,
  • Simon Oblasser,
  • Hollydawn Murray,
  • Tom Renner,
  • Marie-Christine Jacquemot-Perbal,
  • João Cardoso,
  • Trond Kvamme,
  • Maria Praetzellis,
  • Marek Suchánek,
  • Rob Hooft,
  • Benjamin Faure,
  • Hanne Moa,
  • Adil Hasan,
  • Sarah Jones

DOI
https://doi.org/10.5334/dsj-2021-032
Journal volume & issue
Vol. 20, no. 1

Abstract

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This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way. We describe the methodology and research conducted to define the application profile. We also discuss design decisions made during its development and present systems which have adopted it. The application profile was developed in an open and consensus-driven manner within the DMP Common Standards Working Group of the Research Data Alliance and is its official recommendation.

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