Data management plan

Any research project will gain from the development and usage of a data management plan to understand how to store and publish all the data it creates. Indeed, nearly all funded projects within programmes of the NWO and the EU Horizon 2020 now require a data management plan to be written within the first few months of the project. 

Data management plan

A data management plan is a document that describes how the data will be generated or used within a given project, how they will be collected, managed, stored and made available during the study, and how they will be shared upon completion of the research project.

A data management plan is useful for purposes beyond merely satisfying the requirements of the research funder. It also helps the researcher to determine how the data can be managed efficiently and effectively. In addition, it can reduce the risk of data loss or other threats that could render the data illegible or unusable (e.g. the obsolescence of software).


4TU.ResearchData offers researchers a template for a data management plan, as well as advice on its use.

The template can be used as a checklist, although not all of the questions are necessarily applicable to all projects. The template consists of six sections: data collection; data storage and back-up; data documentation; data access; data sharing and reuse; data preservation and archiving. 4TU.ResearchData recommends describing the most important topics in each section.

The EU also offers a template for data management plans in its Horizon 2020 data management guidelines (pdf, see page 6 for the template).

NWO also offers a similar template (In Word) for its approved  projects.


Please contact 4TU.ResearchData for advice and support on writing or updating your data management plan.

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26 April
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