The complete workflow for sharing sensitive SSH data
The complete workflow for sharing sensitive SSH data
Privacy, copyright and competition considerations stand in the way of sharing sensitive data for scientific purposes. We propose the Secure Analysis Environment (SANE): a virtual container in which the researcher analyses sensitive data, but the data provider retains full control. It is an off-the-shelve, data holder-agnostic Trusted Research Environment (TRE). In SANE, scientists can conduct research according to the principles of Five Safes with data that was previously hardly available. SANE exists in 2 variants: Tinker SANE: the researcher can see, manipulate and play with the data. Blind SANE: the researcher submits an algorithm without seeing the data. The data provider approves the algorithm and the output. SANE is a collaboration between ODISSEI, CLARIAH (KB & NISV) and SURF.
- University of Twente Netherlands
- Netherlands Institute for Sound and Vision Netherlands
- Erasmus University Rotterdam Netherlands
Competition, Privacy, Secure Analysis, Copyright, FOS: Social sciences, Data infrastructure, Sensitive data, Trusted research environment, Social sciences
Competition, Privacy, Secure Analysis, Copyright, FOS: Social sciences, Data infrastructure, Sensitive data, Trusted research environment, Social sciences
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