Qualitative FAIR Data

This training introduces the main concepts, standards, and practical challenges of managing qualitative research data in accordance with the FAIR principles, Open Science practices and compliance with the GDPR. It is aimed at researchers and support staff working with qualitative data, such as interviews, focus groups, and observational materials.

The idea is to examine how qualitative data can be responsibly shared, preserved, and reused, taking into account the ethical, legal, and technical dimensions. The topics cover, for example, the practical application of data processing levels like the Jones & Alexander's classification framework and the DANS' "Making Qualitative Data Reusable" guide.

The workshop also introduces UM's research data support ecosystem, including the UM Research Data Management Code of Conduct, the Data Steward network, and available institutional tools.