Dove Edward S, Joly Yann, Tassé Anne-Marie, Knoppers Bartha M
Centre of Genomics and Policy, McGill University, Montreal, QC, Canada.
Public Population Project in Genomics and Society, McGill University, Montreal, QC, Canada.
Eur J Hum Genet. 2015 Oct;23(10):1271-8. doi: 10.1038/ejhg.2014.196. Epub 2014 Sep 24.
The biggest challenge in twenty-first century data-intensive genomic science, is developing vast computer infrastructure and advanced software tools to perform comprehensive analyses of genomic data sets for biomedical research and clinical practice. Researchers are increasingly turning to cloud computing both as a solution to integrate data from genomics, systems biology and biomedical data mining and as an approach to analyze data to solve biomedical problems. Although cloud computing provides several benefits such as lower costs and greater efficiency, it also raises legal and ethical issues. In this article, we discuss three key 'points to consider' (data control; data security, confidentiality and transfer; and accountability) based on a preliminary review of several publicly available cloud service providers' Terms of Service. These 'points to consider' should be borne in mind by genomic research organizations when negotiating legal arrangements to store genomic data on a large commercial cloud service provider's servers. Diligent genomic cloud computing means leveraging security standards and evaluation processes as a means to protect data and entails many of the same good practices that researchers should always consider in securing their local infrastructure.
21世纪数据密集型基因组科学面临的最大挑战,是开发庞大的计算机基础设施和先进的软件工具,以便对用于生物医学研究和临床实践的基因组数据集进行全面分析。研究人员越来越多地转向云计算,将其作为整合基因组学、系统生物学和生物医学数据挖掘数据的一种解决方案,以及作为分析数据以解决生物医学问题的一种方法。尽管云计算带来了诸如成本更低和效率更高之类的诸多好处,但它也引发了法律和伦理问题。在本文中,我们基于对几家公开可用的云服务提供商服务条款的初步审查,讨论三个关键的“要点”(数据控制;数据安全、保密和传输;以及问责制)。基因组研究组织在与大型商业云服务提供商的服务器协商存储基因组数据的法律安排时,应牢记这些“要点”。谨慎的基因组云计算意味着利用安全标准和评估流程来保护数据,并且需要许多研究人员在保护其本地基础设施时应始终考虑的相同良好做法。