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Computing patient data in the cloud: practical and legal considerations for genetics and genomics research in Europe and internationally

机译:在云端计算患者数据:欧洲和国际上遗传学和基因组学研究的实践和法律考虑

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摘要

Biomedical research is becoming increasingly large-scale and international. Cloud computing enables the comprehensive integration of genomic and clinical data, and the global sharing and collaborative processing of these data within a flexibly scalable infrastructure. Clouds offer novel research opportunities in genomics, as they facilitate cohort studies to be carried out at unprecedented scale, and they enable computer processing with superior pace and throughput, allowing researchers to address questions that could not be addressed by studies using limited cohorts. A well-developed example of such research is the Pan-Cancer Analysis of Whole Genomes project, which involves the analysis of petabyte-scale genomic datasets from research centers in different locations or countries and different jurisdictions. Aside from the tremendous opportunities, there are also concerns regarding the utilization of clouds; these concerns pertain to perceived limitations in data security and protection, and the need for due consideration of the rights of patient donors and research participants. Furthermore, the increased outsourcing of information technology impedes the ability of researchers to act within the realm of existing local regulations owing to fundamental differences in the understanding of the right to data protection in various legal systems. In this Opinion article, we address the current opportunities and limitations of cloud computing and highlight the responsible use of federated and hybrid clouds that are set up between public and private partners as an adequate solution for genetics and genomics research in Europe, and under certain conditions between Europe and international partners. This approach could represent a sensible middle ground between fragmented individual solutions and a “one-size-fits-all” approach.
机译:生物医学研究正变得越来越大规模和国际化。云计算可实现基因组和临床数据的全面集成,并在灵活可扩展的基础架构中对这些数据进行全局共享和协作处理。云为基因组学提供了新颖的研究机会,因为它们有助于以前所未有的规模进行同类研究,并且它们使计算机处理具有出色的速度和通量,从而使研究人员能够解决有限的同类研究无法解决的问题。这类研究的一个很好发展的例子是全基因组泛癌分析项目,该项目涉及对来自不同地区或国家和不同司法管辖区的研究中心的PB级基因组数据集的分析。除了巨大的机会外,还存在着对云利用的担忧。这些担忧涉及数据安全和保护方面的局限性,以及需要适当考虑患者捐赠者和研究参与者的权利。此外,由于在各种法律制度中对数据保护权的理解存在根本差异,因此信息技术外包的增加阻碍了研究人员在当地现行法规范围内采取行动的能力。在这篇观点文章中,我们解决了云计算的当前机遇和局限性,并强调了在公共和私人合作伙伴之间建立的联邦云和混合云的负责任使用,作为在一定条件下欧洲遗传学和基因组学研究的适当解决方案在欧洲和国际伙伴之间。这种方法可能代表零散的单个解决方案与“一刀切”的方法之间的明智中间立场。

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