Navigation auf uzh.ch
Navigation auf uzh.ch
University Library Zurich
This introductory course familiarizes students with important topics related to research data; they learn about relevant components of research data management, including finding and reusing data (with licenses) and using data repositories. Data sharing and data publication, including aspects of data protection and personal data sharing, are also covered in this course. The course takes place as a one-day face-to-face event with blended learning components before and after the course.
This introductory course is intended for Bachelor's, Master's and PhD students who have little or no prior knowledge of research data management. This course might not be suitable for first-year BA students; please contact the course administrator (Melanie Röthlisberger) to discuss your case.
Thursday, 20.10.2022 (08.30 - 17.00)
The course will be held in English.
Every semester
Written assessment / 1 ECTS
In the course "Working with FAIR data", 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 blended learning components before and after the course.
The course is intended for interested Bachelor's, Master's and PhD students who have prior knowledge in data management and would like to share their data with the scientific community and increase its reusability.
Thursday, 17.11.2022 (08.30-17.00)
The course will be held in English.
Every semester
Written assessment / 1 ECTS
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 blended learning components before and after the course.
The course is intended for Master's and PhD students as well as interested Bachelor's students who have little or no prior knowledge of data management planning. It is recommended that participants will or are about to write a data management plan for a future research project.
Thursday, 01.12.2022 (08.30 - 17.00)
The course will be held in English.
Every semester
Written assessment / 1 ECTS
While it is generally commended that all data underlying a scientific article is published, researchers working with personal and/or sensitive data often refrain from doing so because of ethical or legal reasons or because they do not know how. However, even personal and/or sensitive data can be shared if individuals have been de-identified (with anonymization or pseudonymization techniques) and if study participants have agreed to the sharing of their (de-identified) data. Besides these ethical considerations when sharing data, researchers must also be knowledgeable in the choice of licence for their data and relevant copyright restrictions. In this course, students will require the necessary skill-set to address such legal and ethical issues to eventually publish personal and/or sensitive data.
This course is intended for Master's and PhD students and interested Bachelor's students working with personal and/or sensitive data. Participants working with quantitative data are required to have some prior working knowledge of R.
Thursday, 27.10.2022 (13.00 - 17.00)
Thursday, 03.11.2022 (13.00 - 17.00)
The course will be held in English.
Every semester
Written assessment / 1 ECTS
Der Kurs will be held in collaboration with the Center for Reproducible Science.
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 blended learning components before and after the course.
This introductory course is intended for Bachelor's, Master's and PhD students, with no or little prior knowledge of Open Access. This introductory course is intended for Bachelor's, Master's and PhD students who have little or no prior knowledge of research data management. This course might not be suitable for first-year BA students; please contact the course administrator (Melanie Röthlisberger) to discuss your case.
Wednesday, 19.10.2022 (8.30 - 17.00)
The course will be held in English.
Every semester
Written assessment / 1 ECTS
If you need background knowledge before attempting a module which contains advanced topics for you or if you want to deepen or broaden your knowledge in a specific direction you can combine the Open Data / Open Access Modules with Modules on Open and Reproducible Science, also offered at the School for Transdisciplinary Studies.
We suggest three combinations totalling 3 ECTS, these specific combinations logically fit together in a theme but all other module combinations are allowed as well.
