• Output Type: Working Group Recommendation
  • Review Status: Endorsed
  • Review Deadline: 2020-01-13
  • Author(s): Daniel Bangert
  • Abstract

     DMP Common Standards WG

    Group co-chairs: Tomasz Miksa, Paul Walk, Peter Neish

    Recommendation Title: RDA DMP Common Standard for Machine-actionable Data Management Plans

    Authors: Tomasz Miksa, Paul Walk, Peter Neish

    Impact: Allows representing Data Management Plans in a machine-actionable way, to enable exchange of information between systems acting on behalf of stakeholders involved in the research life cycle, such as, researchers, funders, repository managers, ICT operators, data stewards, etc. It also helps in automating typical data management tasks, thus contributes to a reduction of workload imposed on the stakeholders.

    Recommendation package DOI: 10.15497/rda00039

    Citation: Miksa, T., Walk, P., & Neish, P. (2019). RDA DMP Common Standard for Machine-actionable Data Management Plans. https://doi.org/10.15497/rda00039 

     

    Abstract

    Data Management Plans are free-form text documents describing the data that is used and produced during the course of research activities. They specify where the data will be archived, which licenses and constraints apply, and to whom credit should be given, etc. The workload and bureaucracy often associated with traditional DMPs can be reduced when they become machine-actionable.

    The DMP Common Standards WG has developed an application profile that allows to express information from traditional DMPs in a machine-actionable way. It allows for automatic exchange, integration, and validation of information provided in DMPs.

    Thus, it facilitates exchange of information between systems acting on behalf of stakeholders involved in the research life cycle, such as, researchers, funders, repository managers, ICT providers, librarians, etc.

    This document summarises the application profile. The full specification can be found: https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard

    Keywords: DMPs, maDMPs, machine-actionable, application profile

    License: CC-0

     

  • Group Technology focus: Data (Output) Management Planning
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