Research Ideas and Outcomes (Apr 2017)

Machine-actionable data management plans (maDMPs)

  • Stephanie Simms,
  • Sarah Jones,
  • Daniel Mietchen,
  • Tomasz Miksa

DOI
https://doi.org/10.3897/rio.3.e13086
Journal volume & issue
Vol. 3
pp. 1 – 16

Abstract

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This report presents outputs of the International Digital Curation Conference 2017 workshop on machine-actionable data management plans. It contains community-generated use cases covering eight broad topics that reflect the needs of various stakeholders. It also articulates a consensus about the need for a common standard for machine-actionable data management plans to enable future work in this area.