In der Übersicht
Effective research data management (RDM) is essential for good scientific practice. Every research project includes the generation, collection or compilation of data. This data must be handled with care throughout its lifecycle: from collection to analysis to sharing, archiving, and reuse.
This course explores the practical nuances of research data management, with particular emphasis on the proper and transparent collection and handling of personal data. This according to the tenet of the open science movement, which is to make research data as openly accessible as possible and as closed as necessary. The course discusses some of the principles underlying the implementiation of open science in practice.
This course is one of two advanced modules on RDM. The other module focuses on quantitative data, thus complementing this course in terms of content. It is possible to attend both advanced modules. While the basic course in the spring semester provides a solid foundation for the advanced courses, completing it is not an admission requirement.