Introduction to Research Data Management

In the winter semester of 2023/2024, the Center for Research Data Management started its own lecture exercise (VU, 3 ECTS) on the basics of research data management in the Transferable Skills Catalogue.  

The course aims to teach the correct handling of research data and to create an awareness of topics like Open Science and reproducibility of research at an early stage. Covered are basics such as the FAIR principles, the research data lifecycle, and RDM policies, valuable tools like data management plans, persistent identifiers, and licenses, as well as essential technical components of an RDM infrastructure such as repositories and electronic lab notebooks.

The target group is Master's students outside the Faculty of Computer Science.

Data Management for Science and Engineering

This blended-learning lecture and exercise (VU, 4 ECTS) was developed as part of the AI4ALL project. It teaches students of natural sciences and engineering the fundamentals of data management and starts in the winter semester 2026/2027. The course covers how data is structured, stored, queried, and managed throughout its lifecycle, starting from conceptual data modelling and relational database design, and utilises Python and TU Cookbooks. A series of interlinked exercises supports the learning process and illustrates the entire data lifecycle using real-world datasets from various academic disciplines.

The course is aimed at Bachelor’s and Master’s students without a background in computer science.

Data Stewardship

For computer science students in the Master's programme, the Institute of Information Systems Engineering offers a lecture (VO, 3 ECTS) with an exercise (UE, 3 ECTS) on data stewardship in summer semesters. 

The courses cover general research data management topics such as reproducibility of research, FAIR principles, data management plans, and data citation, as well as technical content such as digital preservation and repository systems.