Tools to deidentify, synthetise and work safely with personal data

On this page: anonymisation, pseudonymisation, de-identification, synthetic data, encryption, secure computing, computation
Date of last review: 2023-02-17

We are creating an overview of potential privacy-related tools for deidentifying data, creating synthetic data, and analysing data in secure environments in a GitHub repository.

Please feel free to open an Issue or a Pull Request in this repository if you wish to adjust the existing content or add new content.

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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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