38th Open Science Meet-up: Dealing with Sensitive Research Data - Good Practices and Pitfalls

Tuesday 22 Sept 2026, 13:00 → 15:30 Europe/Berlin

HS MED 24 (UMG)

Astrid Orth (SUB Göttingen), Birgit Schmidt (SUB Göttingen), Daniel Beucke (SUB Göttingen), Harald Kusch, Julika Mimkes (SUB Göttingen)

For some data caring means that sharing is constrained as the data might be protected for various reasons.

In this session we will explore requirements and good practices when dealing with sensitive data, and how to make such data as freely accessible as possible and as protected as necessary. Sensitive data typically refers to personal data that can only be collected and processed if requirements by data privacy laws and ethical standards are met. 

We will hear about perspectives from different disciplines, and practical solutions and infrastructures that support the work with sensitive and other protected data.

If you would like to contribute a short presentation please reach out to us!

Pad: https://pad.gwdg.de/s/Jg3LjT-w6U

1 Welcome & Round of introductions

2 Short presentations

13.00 - 13.15 Welcome & Introduction

13.15 - 15.00 Short presentations (c 10-15 min/each)

• Legal frameworks for handling sensitive data - Florian Hallaschka, UGOE, data protection officer

• Clinical data - Sabine Hanss, UMG

• Secure Processing Environment (SPE) - Harald Kusch, UMG

• Informed consent - Barbara Löhde, SUB

• Synthetic data - Laura Botzet, Georg-Elias-Müller-Institute of Psychology

15.00-15.30 Discussion

3 Discussion