Your secrets are safe with us: Tooling for research with sensitive data

Many areas of research deal with sensitive data that cannot be shared widely. They have to be protected due to privacy, intellectual property, or other reasons. In this event, we will discuss several projects, tools and techniques to work with sensitive data in research.

Man houdt bril op afstand van zijn hoofd
21 Mar 2023
13.00 - 17.00
Utrecht University Library, Utrecht Science Park Heidelberglaan 3.

In the context of open science, research data are increasingly shared for reuse. When working with sensitive data, however, such sharing is often hampered due to privacy, intellectual property or other limitations due to the sensitive nature of the data. This limits the degree of reuse in research tremendously. More and more, however, solutions and strategies are being developed to circumvent these limitations.

The aim of this afternoon is to give an overview of current projects, tools and techniques to work safely with sensitive data. The afternoon will consist of short presentations and demos, with ample room for questions, and drinks afterwards.

Programme Tuesday March 21

Chair: Annette Langedijk

  • 13:00-13:30 Doors open
  • 13:30-13:40: Welcome (Matthijs van Otegem, Director University Library Utrecht)
  • Presentations and demo's:
    • 13:40-13:55 The Data Privacy Project (Dorien Huijser, Utrecht University)
    • 13:55-14:20 Tools-to-Data (Joris van Zundert, Huygens Institute)
    • 14:20-14:45 The why, what and how of Federated Learning: the Netherlands Consortium of Dementia Cohorts (Esther Bron, Erasmus Medical Center, Health-RI)
    • 14:45-15:15 Break
    • 15:15-15:40 Synthetic data (Erik-Jan van Kesteren, Utrecht University, ODISSEI SODA team) 
    • 15:40-16:05 D3I – A platform for digital trace data donation (Laura Boeschoten, Utrecht University)
    • 16:05-16:30 Overview of privacy-preserving techniques (Freek Dijkstra, SURF)
  • 16:30-17:00: Closing with drinks

For whom

The event is intended for research data support staff and researchers with an interest in working with sensitive research data. It will provide an opportunity to learn about existing initiatives and connect with similarly interested colleagues.


SURF and Utrecht University.