How to Create a Data Management Plan (DMP) as a Social Scientist (DSC-2022-08)


09:00 - 11:30 AM

Workshop for PhD students and Postdocs

Dipl.-Soz. Heike Thöricht (Data Steward)
Data Science Center

Online (Zoom)

The workshop will be held in


If you have any questions regarding our workshops, please feel free to write us an E-MAIL.

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Many funding institutions (e.g. DFG, BMBF, Volkswagenstiftung) require information on how research data will be used and/or re-used after the end of a project. In the proposal process or at the beginning of the project, scientists are asked to prepare a so-called Data Management Plan (DMP) following the specific requirements of the funding agency (e.g. the DFG’s checklist for “handling of research data”).

Now you are sitting in front of the empty document and you are wondering why and how? In this workshop, we will help you with that.


We will briefly discuss basic terms (e.g. research data management, DMP/ checklist, FAIR Principles) and the University’s and funders’ requirements. We will help you answer some of the questions that are commonly addressed in a DMP:

  • What kind of data will you be collecting?
  • Where will you store your data?
  • With whom and how will you share your data?
  • How will others be able to understand the data?
  • How will you preserve your data for the long term?
We will provide a DMP template and advise you on how to write it. Bring your own (current or future) project to write your first DMP.


At the end of the workshop you will:
  • understand the basics of a DMP
  • understand why funders ask for a DMP
  • understand how you and your colleagues can benefit from a DMP
  • know what you need to pay special attention to as social scientist
  • have written first parts of your DMP


The event is open for all social scientists of the University of Bremen and other institutions of the U Bremen Research Alliance (15 – 20 participants). Researchers from other disciplines are also welcome. Please note, however, that the workshop will have a special focus on social science challenges.