Every winter semester
5 Credit points
For information on the duration of the modul, refer to the courses of study in which the module is used.
Non-official translation of the module descriptions. Only the German version is legally binding.
The module presents an introduction into the motivation, challenges and solutions of managing research data. Students will learn the principles of research data management and its importance for good scientific practice. Students will acquire an overview of the organizational, technical and legal aspects of managing research data. Students will learn to create a data management plan to organize and structure their own data management activities.
The module teaches strategies and tools for efficient documentation, back-up, long-term archiving, publication, retrieval and re-use of research data. Based on real-life case studies from the participants' disciplines, these will be applied and tested.
The foundations of good scientific practice and the ideas of Open Science will be discussed. In addition, legal aspects of privacy protection and intellectual property issues will be presented.
Hands-on demonstrations, group discussions and individual presentations by the participants will root the acquired knowledge in the participants? own research work to ensure it?s the practical applicability of the acquired competences of research data management. As part of the course, students will create their own data management plan to organize one of their own research projects.
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In some degree programmes, the module (partial) examination can also be "ungraded" at the student's discretion. A corresponding specification must be made before the module is taken; a subsequent change (graded - ungraded) is not possible. If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
Module structure: 0-1 bPr, 0-1 uPr 1
In some degree programmes of the Faculty of Technology, the module examination can also be "ungraded" at the student's discretion (see explanations of the module elements and the respective subject-specific regulations). If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
See below for explanations of this examination (graded examination option).
Participants will create a written research data management plan (5-10 pages) that describes the data management aspects of one of their own research projects.
(The research data management plan may be graded upon request.)
| Degree programme | Profile | Recommended start 3 | Duration | Mandatory option 4 |
|---|---|---|---|---|
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 1 | 3. | one semester | Compulsory optional subject |
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 2 | 3. | one semester | Compulsory optional subject |
| Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] | 1. | one semester | Compulsory optional subject | |
| Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] | 1. | one semester | Compulsory optional subject |
The system can perform an automatic check for completeness for this module.