A data management plan consumes resources in its creation and offers many advantages at the same time.
A data management plan:
- creates a firm basis for a uniform handling of data in the research process
- facilitates the understanding of your own data
- facilitates the coordination between project partners
- helps to identify potential problems at an early stage and to outline solutions for them
- defines responsibilities
- regulates access rights
- helps to avoid data duplication, data loss and security loopholes
- can be (sometimes obligatory) part of a grant application
A useful initial consideration and argument for a data management plan is to think backwards, i.e. where and how should the data be archived or published? These considerations make it necessary to set the course in the data management workflow early on, e.g. with regard to formats, standards, metadata, licenses, etc.1
1Biernacka et al., “Train-the-Trainer Concept on Research Data Management”, FDMentor, 2020, Accessed on: 4.3.2021, https://doi.org/10.5281/zenodo.4071471