privacy-engineering-tools

Secure computing tools

Below is a selection of tools, initiatives and communities that create secure computation environments (in alphabetical order). This can be especially useful when collaborating with other organizations.

Name Description Supplier Type More info
Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC) Federated learning with differential privacy Center for Translational Research in Neuroimaging and Data Science open source software Documentation, Releases, Paper, Installation instructions
DataSHIELD Software for the federated analysis of biomedical, healthcare and social science data DataSHIELD open source software (R libraries) Tutorials, wiki
Data safe haven Open source infrastructure-as-code tools and framework for creating secure environments to analyse sensitive data The Alan Turing Institute infrastructure-as-code Documentation
Microdata CBS Environment for the analysis of CBS microdata Central Bureau of Statistics Netherlands service Microdata catalogue
OpenMined Remote data science community, with experts, software libraries and educational materials OpenMined community Community on slack, courses, OpenMined on GitHub
Secure ANalysis Environment (SANE) Virtual container for the analysis of sensitive data, either in a Trusted Research Environment (Tinker), or a fully closed-off environment (Blind). Expected to go into production in 2024 SURF service Predecessor, open source prototype
Vantage6 Software for federated analysis, also used in Health-RI’s Personal Health Train Integraal Kankercentrum Nederland open source software (Python) Documentation