A Data Management Plan (DMP) is a document which describes and clarifies how the data will be managed across the life of the research project, beginning with the Plan & Design stage (as indicated on the diagram below), and progressing through the other stages of the research cycle.
Image creator: Gaelen Pinnock
Image licensed under the Creative Commons Attribution-Share Alike 4.0 International
Image source: https://commons.wikimedia.org/wiki/File:UCT_RDM_lifecycle_(all_icons).svg
It's the researcher's responsibility to construct the DMP. However, organisations overseeing or sponsoring the research (such as universities or funding bodies) may have policy mandates which govern the specific information to be included in your DMP. Also, some organisations provide ready-made DMP templates, which researchers are expected to complete and submit. The following sections are commonly included in DMPs:
Data sources (the data's origins, and the researcher's supply of information about it)
Data types (the types of information to be collected)
Data input methods (methods used for data analysis; singular analyst or group; computer programs used; data input information)
Ethical and legal restrictions (data security; data disposal; data storage)
Responsibility for data (responsible parties; succession planning)
Backup strategy (data protection issues and practices)
Data organisation (data organisation planning; file naming conventions)
Plans for data sharing (data reuse issues; long term storage; file management; licensing)
Note: this last section is known to be the most difficult in the RDM Plan
Source: Sewell, Clare 2020,The No-Nonsense Guide to Research Support and Scholarly Information, Facet Publishing, London
Data Management Plans help researchers to:
Source: Imed Bouchrike 2020, Guide2Research "What is RDM?"
Public DMPs @ DMP Online
... a long list of publicly-shared DMPs, for viewing ...
The Public DMPs will give you ideas about:
Confidentiality, Ethics & Consent