Synthetic data: leveraging the potential of sensitive data in SSH research

Public Summary
Synthetic data is a dataset with (more or less) the same properties as an original dataset but without privacy-sensitive information. By making synthetic data available instead of (or prior to) the actual dataset, scientists gain faster and easier access to confidential data. In this project, two tools for creating synthetic data are used to unlock existing datasets, including datasets archived at DANS.

Project Team

• Freek Dijkstra, SURF
• Chang Sun, Maastricht University
• Ricarda Braukmann, DANS
• Tim Kok, SURF
• Raoul Schram, UU
• Giuseppe Gianquitto, SURF
• Wim Hugo, DANS