Making your Data FAIR

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 1-day face-to-face event with online learning components before and after the course.

Organizer: School for Transdisciplinary Studies

ECTS: 1

Enrolled at UZH; registration via UZH course catalog

Bachelor, Master, PhD

After this course, students are able to 1) assess their own data (or other researchers’ data) according to the FAIR principles, highlight deficiencies according to the FAIR principles and improve them, 2) prepare their own data according to existing standards (following the FAIR principles), e.g. use non-proprietary data formats, use controlled vocabulary, follow metadata standards, and 3) find FAIR-compatible repositories to store and share their data.

Preparatory tasks will be made available on OLAT three weeks before the day event and need to be completed before the course date; they take up to 8 hours to complete. Attention: The general booking and cancellation deadlines of UZH apply to this module.