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Good scientific practice and research data management 

The principles of good scientific practice form the basis of academic work. At Philipps-Universität Marburg, you will find support and advice on this central topic, both to avoid your own misconduct and to recognize misconduct when supervising students. The  MArburg University Research Academy (MARA) offers regular workshops for doctoral students.

Related links:

1. Guidelines “Principles and Rules of Procedure for Dealing with Scholarly and Scientific Misconduct at Philipps-Universität Marburg” (pdf-file)
2. New Charter of UMR
3. Principles for handling research data
4. The Doctorian - Text Adventure to AI https://ilias.uni-marburg.de/ilias.php?baseClass=ilrepositorygui&ref_id=4177602
5. Open learning materials on key scientific skills. In the ILIAS folder “Future Skills und fachübergreifende Kompetenzen” you will find a large number of online resources (both in English and German) that address topics such as self-competence and communication in addition to topics such as research data and AI. https://ilias.uni-marburg.de/ilias.php?baseClass=ilrepositorygui&ref_id=1730137