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Data management plan

Learn about how to create a Data Management Plan (DMP) that describes how your research data will be handled during and after your research project.

Data management plan

Learn about how to create a Data Management Plan (DMP) that describes how your research data will be handled during and after your research project.

Research projects often involve many decisions about data: Where should data be stored? Who needs access? How should data be documented? Can data be shared or published? What should happen to the data when the project ends?

A DMP helps you reflect on these questions early and keep track of important decisions along the way. It is a practical tool that helps you organise, document, understand, preserve and share your research data in a responsible and structured way.

A DMP is a living document. It should not be seen as a static plan that is written once and then forgotten. Research processes often change, and your DMP should be updated throughout the project as your data, methods and decisions develop.

Benefits of writing a Data Management Plan

  • Increase value and impact: A DMP is a great way to ensure that the handling of the data in the research process are managed, organized and described. This creates transparency in the research process which promotes reliability and impact on data reusability.
  • Increase data’s FAIRness: A DMP is an excellent tool to start your reflections early on how to make your data FAIR. Often DMP-templates contain questions regarding the FAIR principles, which can help start your reflections.
  • Identify potential obstacles: When writing a DMP you are forced to think about how you wish to handle the data throughout the research process. A DMP can therefore help plan ahead and identify potential obstacles or problems early in the research process. 
  • Documentation and timesaving: Having trouble remembering how data you created 6 months or 1 year ago were processed? Continuously updating the DMP supports the decision making and makes it possible to go back and find how the data were handled and what decisions were made about the data.

Quick tips to get started

Tools and templates

When writing a DMP, it is often helpful to use a template that covers relevant topics and includes predefined questions. The questions guide you through the most important aspects of a DMP and help you reflect on how data will be handled in your specific research project.

Aalborg University provides access to DeiC DMP, a digital tool for writing DMPs. In DeiC DMP, you can find a selection of templates with accompanying guidance, including AAU’s generic DMP template.

AAU’s generic DMP template can be used across all research areas at Aalborg University.

Use cases

FAQ

Need support?

CLAAUDIA can assist you with general support and guidance on DMPs, as well as review and feedback on written DMPs. We also offer workshops on DMPs. For all questions and requests, please contact us through the AAU service portal.

Contact us here