Slides
STS NL 2026: FAIR Data Practices for Qualitative Research in Transdisciplinarity
On April 16th, 2026, the FAIRqual team presented at the STS NL 2026 conference at the University of Twente, NL, in the track ‘How to Make Science Better’. The track provided plenty of food for thought on current trends in the ‘science industry’, such as publishing schemes, handling misconduct, and institutionalising movements such as Open Science. In our presentation, we discussed how raising awareness of data governance and FAIR data practices in qualitative, transdisciplinary research could contribute to making science better. The accepted abstract is published as a blog post.
EPFL IT4R Tech Talk: Research Data Management for Qualitative Data
On December 2nd, 2025, the FAIRqual team presented “FAIRifying qualitative data” at EPFL’s Tuesdays Tech Talks series, organized by ENAC-IT4R (School of Architecture, Civil and Environmental Engineering - IT for Research). These lightning talk sessions foster interdisciplinary knowledge sharing on data and coding topics within the ENAC research community in a “Lunch & Learn” format.
Advancing Open Research Data (ORD) Practices: collaboration and innovation in the ETH Domain
On June 12th, 2025, the FAIRqual team presented at the ETH Domain ORD Day at Casino Bern. The FAIRqual project was one of 6 accepted presentations selected from a programme of nearly 100 funded projects. This national event brought together researchers from across the ETH Domain institutions to showcase innovative research projects and discuss best practices for open research data through keynote presentations and tailored workshops.
FAIR Data Practices for Qualitative Research in Transdisciplinarity
From November 4-8, 2024, the FAIRqual team facilitated a 90-minute workshop at the International Transdisciplinary Conference (ITD24) in Utrecht, NL. The workshop brought together 24 researchers to brainstorm challenges and experiences of sharing qualitative data in transdisciplinary research, discussing topics such as handling sensitive data, preventing misuse and decontextualization, and navigating institutional data policies.