RDA DMP Common Standard for Machine-actionable Data Management Plans

    You are here

 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

 

Reccs Status: 
Recommendations with RDA Endorsement in Process
Review period start: 
Monday, 2 December, 2019 to Monday, 13 January, 2020
Group content visibility: 
Use group defaults
Primary Domain/Field of Expertise: 
Primary WG Focus / Output focus: 
  • Jonathan Petters's picture

    Author: Jonathan Petters

    Date: 20 Dec, 2019

    I’m glad to see this DMP Common Standard model come out. While I haven’t been involved in this working group effort’s directly, it’s great to have this important foundation towards machine-actionable data management plans available for use!

    In general I find this standard very reasonable as a whole after a quick review. I have two comments:

    1. Regarding the ‘Metadata’ structure: there are many research disciplines for which no metadata standard exists, and will not for the foreseeable future. I recommend this structure (or perhaps the guidance around it) be modified to allow for the incorporation of non-standard metadata as a descriptor of a Dataset (e.g. metadata in a README file or in a spreadsheet).

    I agree we want to encourage the use and development of metadata standards whenever we can, but I would also like to encourage the creation of metadata where standards do not yet exist!

    2. Are there plans to test this DMP Common Standard by incorporating information into it from existing DMPs and seeing how well the information from those DMPs fits? Such tests could include short DMPs written as requirements of funding proposals or DMPs from more well-funded large research projects(e.g environmental science field campaigns).

    I understand that a lot of effort went into gathering user stories towards the development of this standard (https://github.com/RDA-DMP-Common/user-stories/projects/2), but wonder is such an external test could uncover any small blind spots that are left.

    -Jonathan Petters

submit a comment