SIS Scientific IT Services, ETH Zurich, Binzmühlestrasse 130, 8092 Zurich, Switzerland, https://sis.id.ethz.ch/.
J Integr Bioinform. 2024 Aug 2;21(3). doi: 10.1515/jib-2024-0021. eCollection 2024 Sep 1.
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.
本文概述了苏黎世联邦理工学院(ETH Zurich)可信研究环境(TRE)的开发和运作情况。为科研人员提供了安全处理敏感研究数据的能力。我们概述了用户视角、处理敏感数据的法律框架、设计历史、当前状态和操作。是一个高效、高度安全的数据处理可信研究环境,由苏黎世联邦理工学院的科学信息技术服务(SIS)托管和运营。它提供了一整套安全控制措施,允许研究人员根据瑞士法规和苏黎世联邦理工学院数据保护政策存储、访问、管理和处理敏感数据。此外,符合 BiomedIT 信息安全政策,并且与国际数据保护法兼容,因此可以在国家和国际合作研究项目的范围内使用。最初被设计为一个“裸机”高性能计算(HPC)平台,以实现最大的性能,后来被重新设计为一个虚拟化的私有云平台,为客户提供更多的灵活性。敏感数据可以在称为租户的安全隔离空间中进行分析。已经采取了技术和组织措施(TOMs)来确保敏感数据的机密性、完整性和可用性。同时,确保广泛访问最先进的研究软件,特别是用于分析人类组学数据和其他个性化健康应用的软件。