Open Science (10SMSTS-515/516)
Open Access Basics (10SMSTS-515)
Description
The introductory course „Open Access Basics“ introduces students to the field of Open Science with a specific focus on Open Access - the online availability of articles and books. They learn about the newest developments in the publication landscape, how to access materials behind a paywall, explore the characteristics of Open Access and the difference to publications in traditional subscription-based journals. Publication versions and legal aspects of publishing will also be discussed, as well as the impact that Open Access can have on society. The introductory course is intended for bachelor and master students who have little or no prior knowledge of Open Access. The course takes place as a half-day on-site event with online learning components before and after the event.
Target group
BA, MA
ECTS Credit
1 ECTS
Course catalogue
Introduction to Research Data Management (10SMSTS-516)
Description
This introductory course on research data management (RDM) familiarizes students with important aspects and components of RDM and the data lifecycle. The course will also teach about data repositories, including how to find and cite existing data from such repositories, and about some of the legal aspects of data reuse and sharing, e.g. data licenses. After the end of this course, students are able to plan their own research data management. The introductory course is intended for bachelor students, master students and also PhD students who have little or no prior knowledge of research data management. The course takes place as a half-day on-site event with online learning components before and after the event. The online preparatory tasks need to be completed before the on-site event.
Target group
BA, MA, PhD
ECTS Credits
1 ECTS
Course catalogue
Making your data FAIR (10SMSTS-517)
Description
In the course "Making your data FAIR" students are familiarized with important aspects of FAIR (findable, accessible, interoperable, reusable) data as an essential prerequisite for publishing and sharing their data and for increased reproducibility and replicability of scientific research. They learn how to make their own data FAIR following existing standards (e.g. metadata) and how to assess the FAIRness of existing datasets. The course is intended for interested bachelor students, master students and PhDs who have some prior knowledge in data management and who would like to share their data with the scientific community and to increase its reusability. The course takes place as a half-day on-site event with online learning components before and after the on-site event.
Target group
BA, MA, PhD
ECTS Credits
1 ECTS
