How to write a data management plan

Target audience
All employees and students at UiT who work with, or provide administrative or scientific support to, (smaller or larger) projects that include working with research data.

45 minutes presentation, including time for questions and comments.

Course calendar and sign-up
See event calendar at the UiT Research Data Portal.

Course material
Powerpoint presentation updated December 2022.

About the course

In all research projects, large or small, that include research data, it is important to create a good data management plan (DMP). A DMP includes all the phases of a research project and all activities related to data management. This includes e.g. searching for existing data you can build your work upon; collecting or generating own data; secure storage and backup of data during the active collection phase of the project; structuring and documenting data; processing and analyzing data and; archiving and (if possible) sharing data. Data and its management are usually the base of a research project, and it is therefore important that this is done correctly and in the best possible way. That is why planning is very important.

A data management plan is a tool for you as a researcher. There are good templates that help you think through and concretize how all these aspects can be implemented in the best possible way.

Many financiers demand a data management plan, as this ensures better project implementation. This requirement also applies to all researchers at UiT Norway’s Arctic University, cf. «Principles and guidelines for the management of research data at UiT».

The webinar builds on the two modules “How to structure and document research data” and “How to share research data”.