Open Science
Open Access Basics (10SMOA_1)
Description
The introductory course Open Access Basics introduces students to the field of Open Access and Open Science. They learn about the latest developments in the publishing landscape, explore the characteristics of Open Access and the differences to publications in traditional, subscription-based journals. Publication versions and types will be discussed as well as challenges (young) researchers face with regard to Open Access publishing. The course takes the form of a one-day face-to-face event with online learning components before and after the course.
Target group
BA, MA, PhD
ECTS Credit
1 ECTS
Course catalogue
You can find more information about the module here.
Open Data Basics (10SMOD_1)
Description
This introductory course into Open Data (Open Data Basics) familiarizes students with current topics on (open) research data and will introduce to them important aspects and components of research data management and the data lifecycle. The course will also teach students about data repositories, including how to find existing data from such repositories, and about some of the legal aspects of data reuse and sharing, e.g. data licenses. 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 1-day face-to-face event with online learning components before and after the course.
Target group
BA, MA, PhD
ECTS Credits
1 ECTS
Course catalogue
You can find more information about the module here.
Making your data FAIR (10SMOD_2)
Description
In the course Making your data FAIR, students are familiarized with important aspects of FAIR (findable, accessible, interoperable, reusable) data, which is an essential prerequisite for publishing and sharing data and for increased reproducibility and replicability of scientific research. Students will 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 takes the form of a one-day face-to-face event with online learning components before and after the course.
Target group
BA, MA, PhD
ECTS Credits
1 ECTS
Course catalogue
You can find more information about the module here.
