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首页> 外文期刊>BMC Medical Informatics and Decision Making >Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design
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Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design

机译:集成生物库中的安全控制措施,以保护数据共享中的隐私:基本原理和研究设计

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Background With the goal of realizing genome-based personalized healthcare, we have developed a biobank that integrates personal health, genome, and omics data along with biospecimens donated by volunteers of 150,000. Such a large-scale of data integration involves obvious risks of privacy violation. The research use of personal genome and health information is a topic of global discussion with regard to the protection of privacy while promoting scientific advancement. The present paper reports on our plans, current attempts, and accomplishments in addressing security problems involved in data sharing to ensure donor privacy while promoting scientific advancement. Methods Biospecimens and data have been collected in prospective cohort studies with the comprehensive agreement. The sample size of 150,000 participants was required for multiple researches including genome-wide screening of gene by environment interactions, haplotype phasing, and parametric linkage analysis. Results We established the T ohoku M edical M egabank ( TMM) data sharing policy : a privacy protection rule that requires physical, personnel, and technological safeguards against privacy violation regarding the use and sharing of data. The proposed policy refers to that of NCBI and that of the Sanger Institute. The proposed policy classifies shared data according to the strength of re-identification risks. Local committees organized by TMM evaluate re-identification risk and assign a security category to a dataset. Every dataset is stored in an assigned segment of a supercomputer in accordance with its security category. A security manager should be designated to handle all security problems at individual data use locations. The proposed policy requires closed networks and IP-VPN remote connections. Conclusion The mission of the biobank is to distribute biological resources most productively. This mission motivated us to collect biospecimens and health data and simultaneously analyze genome/omics data in-house. The biobank also has the mission of improving the quality and quantity of the contents of the biobank. This motivated us to request users to share the results of their research as feedback to the biobank. The TMM data sharing policy has tackled every security problem originating with the missions. We believe our current implementation to be the best way to protect privacy in data sharing.
机译:背景技术为了实现基于基因组的个性化医疗保健,我们开发了一个生物库,该数据库将个人健康,基因组和组学数据以及15万名志愿者捐赠的生物标本整合在一起。如此大规模的数据集成会带来明显的侵犯隐私风险。个人基因组和健康信息的研究用途是关于保护隐私并促进科学进步的全球性讨论话题。本白皮书报告了我们在解决数据共享中涉及的安全性问题以确保捐赠者隐私并促进科学进步的同时所采取的计划,当前的尝试和取得的成就。方法在全面的前瞻性队列研究中收集了生物标本和数据。多项研究需要150,000名参与者的样本量,包括通过环境相互作用,单倍型定相和参数连锁分析对基因组进行全基因组筛选。结果我们建立了东北医疗银行(TMM)数据共享策略:一项隐私保护规则,要求物理,人员和技术保障措施以防止在使用和共享数据方面侵犯隐私。拟议政策参考了NCBI和桑格研究所的政策。提议的策略根据重新识别风险的强度对共享数据进行分类。由TMM组织的地方委员会评估重新识别风险,并将安全类别分配给数据集。每个数据集根据其安全类别存储在超级计算机的指定段中。应该指定一名安全经理来处理各个数据使用位置的所有安全问题。建议的策略需要封闭的网络和IP-VPN远程连接。结论生物库的任务是最有效地分配生物资源。这项任务促使我们收集生物样本和健康数据,并同时在内部分析基因组/组学数据。生物库还具有改善生物库内容物质量和数量的任务。这促使我们要求用户分享他们的研究结果,作为对生物库的反馈。 TMM数据共享策略解决了与任务有关的每个安全问题。我们认为,当前的实施方式是保护数据共享中隐私的最佳方法。

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