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Intro
Data Privacy Handbook
Get started
- Typical privacy issues in…
- Interview research
Privacy FAQs
Knowledge Base
The GDPR
What are personal data?
Legal bases
Risk Assessment
How To
Designing your project
Storing personal data
Sharing data with collaborators
Sharing data for reuse
Techniques & Tools
Pseudonymisation & Anonymisation
Statistical approaches to de-identification
- K-anonymity, l-diversity and t-closeness
- Differential privacy
Secure computation
Other techniques
Tools & Services
Use Cases
Data minimisation in a survey
Data pseudonymisation
- General steps
- Pseudonymisation per data type
Publishing metadata
Reusing education data for research
Resources
Seeking help at Utrecht University
Glossary
Resources
Visit the GitHub repository

Data Privacy Handbook

(PART*) Typical privacy issues in…

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Data Privacy Handbook

The information presented here is provided as is, with no guarantees of accuracy or completeness. For the most up-to-date information, please refer to your privacy officer, the university website or intranet. We cannot be held responsible for any negative consequences due to incorrect interpretation or use, and inconsistencies with policies/views of other institutions.

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