Uni-Tübingen
Data Management Plan

It is becoming increasingly important for research funders to be able to trace the paths of the digital objects collected, created and used during the research process in the course of digitisation. At the beginning of a research project, it is important to discuss general aspects of handling the created research data with colleagues and to agree on data collection strategies, data analysis and data storage mechanisms. A suitable tool for this is a data management plan (DMP), in which the basic requirements and specific strategies for creating and processing, for coverage and preservation, as well as aspects of publishing the research data created are defined and documented, for example by means of data publications. It thus contains a description of the life cycle of your research data.

In some disciplines or funding lines, a DMP can be a prerequisite for the approval of third-party funding and is reviewed jointly with the project proposal. Increasingly, an infrastructure expert (from other disciplines) is also involved in the evaluation process to ensure the quality and relevance of the data management within the project.

We offer you support and advice in the preparation of a DMP. With the online tool Research Data Management Organizer (RDMO) of the University of Tübingen, you can create, save, edit and finally print a DMP yourself after entering your ZDV login.

The key points that a DMP should contain are:

  1. What data is being collected and used and what types of data are involved?
  2. Are data that merits protection obtained? If you have any questions regarding data protection, please contact the data protection officer of the university or the person responsible in your institution!
  3. What additional information or metadata is required to understand your data?
  4. How much data will be generated, is there a data selection procedure?
  5. Where should the data be stored?
    • During the project phase?
    • After the finishing of the project?
  6. Should data be published? What publication strategy is planned?
  7. Consider the requirements of data protection and copyright laws!
  8. Should software, databases or a website be created?
    • Is sufficient staff provided for this?
    • Does it require special infrastructure?
    • Who is responsible for the long-term maintenance of the software/web products and services?
    • Should the software be available for others as open source products?