The course covers the basics of FAIR practices and helps qualitative researchers to think how far and if the FAIR principles could be applied to their work. The course is a co-constructive exercise, so your work and active participation will be key to keep designing the course.
Learning objectives :
- Theoretically discuss FAIR and its possible limits for non-readable machine research data.
- In breakout rooms look into FAIR repositories with qualitative data and constructively be critical to the researcher’s approaches in terms of becoming findable and accessible.
- We will use a real case scenario to explore how inter-operability and re-usability can become useful aids while working with teams of qualitative researchers.
Target group: Researchers at Maastricht University Working with Qualitative Data
Pre-requisites: Researcher at Maastricht University
Maximum number of participants: 15