The following is a course for researchers working with qualitative research material and willing to explore how FAIR (Findable, Accessible, Interoperable, Reusable) could fit their work. The course will be informative but also hands-on and practice base.

The course covers the basics of FAIR practices and helps qualitative researchers to think if and how far 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-machine readable 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 interoperability and reusability can become useful aids while working with teams of qualitative researchers.

Target group: Researchers at Maastricht University Working with Qualitative Data

Language: English

Pre-requisites: Researcher at Maastricht University

Location: Makerspace Maastricht University Library

Time: November 10-11 2022 | 9.00 – 14.00

To register, please go to the workshops’ registration page.