Data management plan(ning)

A data management plan (DMP) is a digital document in which you describe what data you will collect, how you are going to store and manage the data during the project, and what will happen to the data after the project is finished.

What is a data management plan and why is it important?

The website of UvA/AUAS research data management provides excellent information in both Dutch and English about DMPs. Note that in case of collecting personal data a DMP is also an important document in light of the GDPR. Much of the information in a DMP you may also need in a Data Protection Impact Assessment (DPIA). Data management planning is about working towards FAIR (Findable, Accessible, Interoperable, Reusable) data, making your work more efficient and transparent, and creating more value for your data for yourself and others. Check out what’s in it for you on the website of Utrecht University.

When and how to write a DMP?

  • It makes sense to write a DMP for each individual study in your project and it is most efficient to write your DMP after you have written your detailed research protocol/plan.
  • The AUAS works with DMPonline . Here you can choose the most commonly used templates (e.g., AUAS, ZonMw, NWO, SIA). For NWO and SIA research projects choose the AUAS-template.
  • In DMPonline invite your data steward to the plan to give feedback.
  • ZonMw in particular focusses on FAIR data principles when creating a DMP. Your data steward can give you advice.
  • The ‘final’ version of your DMP should be checked by the supervisor or principal investigator.
  • A DMP is part of the ethical appraisal by the AUAS ethical research committee .
  • During your study evaluate and update your DMP when necessary (with proper version control).
  • At the end of your study or project archive your DMP(s) in a data package in UvA/HvA figshare.

More information: collecting data and FAIR data

Published by  Urban Vitality 26 July 2022