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Principles of research data management at TU Dortmund University

We, the members of TU Dortmund University, understand research data in an inclusive sense. These comprise the results and documentation of our research activities and processes. This includes all components that are necessary for the reproduction or reconstruction of a result. This includes the raw data obtained and processes used in the process, artistic, architectural, and technical designs, reflections and commentary, software, and simulations. Research data have value in themselves. Their integrity and re-usability must be ensured in accordance with the rules of good scientific practice1; research ethics issues are included.

In order to preserve findings and make them usable for future research questions, we apply the following principles:

  • Research data are archived in an orderly and traceable manner in the sense of re-usability.
  • Ensuring the quality of research data and applying subject-specific rules and standards are essential tasks for researchers.
  • Research data are made accessible as freely and barrier-free as possible. We apply the FAIR principles2 (Findable, Accessible, Interoperable, and Re-usable) to digital research data. This is without prejudice to the protection of personal data, copyright, and the legitimate interests of authors and third parties.
  • We strive to publish research data.
  • We use data management plans to support and document the management of research data.
  • TU Dortmund University will make accessible or build infrastructures for the needs of the disciplines here. These include both hardware and supporting services. Furthermore, it will participate in cross-institutional measures. This includes the active participation of members of TU Dortmund University and the engagement in communities of the different disciplines.
  • Our principles of research data management are anchored in teaching and graduate education.

The principles for handling research data are regularly reviewed to ensure that they are up to date and updated as necessary.

 

Adopted by the Senate on 11 July 2019.

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1 Rules of good scientific practice at TU Dortmund University 2 Wilkinson et al. (2016), The FAIR Guiding Principles for scientific data management and stewardship.

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