| Autor: |
Research Data Management Support |
| Přispěvatelé: |
Huijser, Dorien, Schram, Raoul, Moopen, Neha, Janssen, Rik D.T. |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7950409 |
| Popis: |
In this repository, we created an overview of privacy engineering tools, i.e., tools to make it easier to handle personal data in scientific research. We currently have overviews of: packages and software to de-identify (pseudonymise/anonymise) personal data packages and services to generate synthetic (micro)data software to securely analyse or encrypt data This repository was created as part of the Data Privacy Project, a Research Data Management Support project at Utrecht University that ran between 2021 and 2023 and aimed to collect and improve information, tools and services surrounding personal data in research. Full Changelog v0.9-v1.0: https://github.com/UtrechtUniversity/privacy-engineering-tools/compare/v0.9...v1.0 Full Changelog v0.9: https://github.com/UtrechtUniversity/privacy-engineering-tools/commits/v0.9 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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