Leonhard Med, a trusted research environment for processing sensitive research data

This paper provides an overview of the development and operation of the Trusted Research Environment (TRE) at ETH Zurich. gives scientific researchers the ability to securely work on sensitive research data. We give an overview of the user perspective, the legal framework for processing sensitive da...

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Veröffentlicht in:Journal of integrative bioinformatics 2024-08, Vol.21 (3), p.1170-4
Hauptverfasser: Okoniewski, Michal J., Wiegand, Anna, Schmid, Diana Coman, Bolliger, Christian, Bovino, Cristian, Belluco, Mattia, Wüst, Thomas, Byrde, Olivier, Maffioletti, Sergio, Rinn, Bernd
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Sprache:eng
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Zusammenfassung:This paper provides an overview of the development and operation of the Trusted Research Environment (TRE) at ETH Zurich. gives scientific researchers the ability to securely work on sensitive research data. We give an overview of the user perspective, the legal framework for processing sensitive data, design history, current status, and operations. is an efficient, highly secure Trusted Research Environment for data processing, hosted at ETH Zurich and operated by the Scientific IT Services (SIS) of ETH. It provides a full stack of security controls that allow researchers to store, access, manage, and process sensitive data according to Swiss legislation and ETH Zurich Data Protection policies. In addition, fulfills the BioMedIT Information Security Policies and is compatible with international data protection laws and therefore can be utilized within the scope of national and international collaboration research projects. Initially designed as a “bare-metal” High-Performance Computing (HPC) platform to achieve maximum performance, was later re-designed as a virtualized, private cloud platform to offer more flexibility to its customers. Sensitive data can be analyzed in secure, segregated spaces called tenants. Technical and Organizational Measures (TOMs) are in place to assure the confidentiality, integrity, and availability of sensitive data. At the same time, ensures broad access to cutting-edge research software, especially for the analysis of human -omics data and other personalized health applications.
ISSN:1613-4516
1613-4516
DOI:10.1515/jib-2024-0021