Leonhard Med,一个用于处理敏感研究数据的可信研究环境。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2024-08-02 DOI:10.1515/jib-2024-0021
Michal J Okoniewski, Anna Wiegand, Diana Coman Schmid, Christian Bolliger, Cristian Bovino, Mattia Belluco, Thomas Wüst, Olivier Byrde, Sergio Maffioletti, Bernd Rinn
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引用次数: 0

摘要

本文概述了苏黎世联邦理工学院 Leonhard Med 可信研究环境(TRE)的开发和运行情况。Leonhard Med 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、现状和运行情况。Leonhard Med 是一个用于数据处理的高效、高度安全的可信研究环境,由苏黎世联邦理工学院托管,并由苏黎世联邦理工学院的科学信息技术服务部(SIS)负责运营。它提供一整套安全控制措施,允许研究人员根据瑞士法律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,Leonhard Med 还符合 BioMedIT 信息安全政策,并与国际数据保护法兼容,因此可在国家和国际合作研究项目范围内使用。Leonhard Med 最初设计为 "裸机 "高性能计算(HPC)平台,以实现最高性能,后来重新设计为虚拟化私有云平台,为客户提供更大的灵活性。敏感数据可在被称为租户的安全隔离空间内进行分析。技术和组织措施(TOM)确保敏感数据的保密性、完整性和可用性。与此同时,Leonhard Med 还确保广泛使用最先进的研究软件,尤其是用于分析人类组学数据和其他个性化健康应用的软件。
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Leonhard Med, a trusted research environment for processing sensitive research data.

This paper provides an overview of the development and operation of the Leonhard Med Trusted Research Environment (TRE) at ETH Zurich. Leonhard Med 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. Leonhard Med 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, Leonhard Med 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, Leonhard Med 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, Leonhard Med ensures broad access to cutting-edge research software, especially for the analysis of human -omics data and other personalized health applications.

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
期刊最新文献
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