Navigation auf uzh.ch
Navigation auf uzh.ch
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.
BA, MA, PhD
1 ECTS
You can find more information about the module here.
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.
BA, MA, PhD
1 ECTS
You can find more information about the module here.
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.
BA, MA, PhD
1 ECTS
You can find more information about the module here.
In the course Data Management Planning, students are familiarized with important aspects of data management planning along the data life cycle, i.e. data documentation and organization, data processing, data storage, data preservation and protection, archiving and publishing as well as data reuse and discovery. Legal aspects of data sharing and reuse as well as ethical aspects of data management (e.g. working with personal data) are also covered. The course aims to equip students with the necessary knowledge to write their own data management plan (DMP) according to the funding requirements (e.g. SNSF). The course takes place as a one-day face-to-face event with online learning components before and after the course.
BA, MA, PhD
1 ECTS
You can find more information about the module here.
The course Publishing Personal and Sensitive Data familiarizes students with the legal aspects when sharing and/or publishing data containing personal and/or sensitive information of study participants. Students will learn about copyright, licenses, data protection, disclosure risk and data utility and will practice reproducible anonymization techniques in hands-on sessions (for qualitative and quantitative data). This course is intended for master and PhD students and interested bachelor students working with personal and/or sensitive data. Participants working with quantitative data are required to have some prior working knowledge of R.
The course will be held in cooperation with the Center for Reproducible Science. It takes place in two half-days with online learning components before and after the course.
BA, MA, PhD
1 ECTS
You can find more information about the module here.
