How to write your Data Management Plan

Welcome to this self-study course about research data management. In this course you will learn more about how you can manage your research data.

A lot of material of that version of the Learn to write your DMP course has been developed by RDM Support of University of Utrecht.

With all questions about this course you can contact:

By VIB Bioinformatics Core, ELIXIR Belgium and Helis Academy -20width

The course consists of 6 chapters, divided in three categories.

  • Prepare Data collection
  • Prepare Data documentation
  • Handle Data storage
  • Handle Data security
  • Share Data selection and preservation
  • Share Data availability for reuse

Each chapter starts with an introduction and ends with an assignment to write that part of your data management plan that corresponds with what you have just learned. You are currently in the introd uction chapter. In this chapter you will learn more about the course and the learning environment. The course ends with chapter 7, ‘Rounding up’.

Data Management Plans The assignment throughout the course is to fill your own data management plan. At the end of each chapter you will be asked to log into DMPonline. With the content in this course, you should be able to apply this to your research project.

Questions about the course If you have technical questions, please contact If you have content related questions, please contact RDM Support: All feedback is welcome, as this is still a beta version. Based on feedback from users, more content may be added or existing content may be changed to a different form.

Technical requirements Some activities use HTML5. Make sure your browser has installed the latest updates. If an activity doesn’t work, we recommend you use another browser.

Licenses and credits We wish you a lot of fun with the course and we hope it turns out to be a useful learning experience. The content of the course is adapted from an online course of University of Utrecht.



We are giving overviews on why it is important to manage your research data, user stories about data loss, funder requirements, and RDM Support.

Lesson Slides Hands-on Time estimation
Introduction to Data Management Plans
tutorial 45M

Preparatory steps for Data collection and Documentation

  • Will you use existing data?
  • What data will you collect or create?
  • How will the data be collected or created?
  • How will you manage rights issues?
  • What are the costs involved in managing and storing your data?

Lesson Slides Hands-on Time estimation
Prepare: Data collection
tutorial 1H
Prepare: Data documentation
tutorial 50M

Data handling

Storing your data properly can save you a lot of time (in finding and interpreting) and frustration (in not losing it). Moreover, when properly structured and annotated during research, you’ll have your data preserved and/or shared with minimal effort at the end of your research.

Lesson Slides Hands-on Time estimation
Handle: Data Security
tutorial 40M
Handle: Data storage
tutorial 40M

Data sharing

Research should be transparent and you should always be able to revert back to your data if necessary and be able to show others how you came to your results. Therefore, your research data with all information reasonably necessary for verification needs to be preserved. With well-managed and preserved research data, you can defend yourself against allegations of mistakes. You can also prevent wrong conclusions from further spreading into the scientific community if there really are mistakes.

Lesson Slides Hands-on Time estimation
Share: Data availability for reuse
tutorial 35M
Share: Data selection and preservation
tutorial 30M


Assorted other tutorials

Lesson Slides Hands-on Time estimation
Overview of other training resources collected by UGent RDM team
tutorial 10M
Round up
tutorial 20M


This material is maintained by:

Alexander Botzki

For any question related to this topic and the content, you can contact us at


This material was contributed to by:

Alexander Botzki