Cloud-based biomedical data storage and analysis for genomic research: Landscape analysis of data governance in emerging NIH-supported platforms.
Cloud-based biomedical data storage and analysis for genomic research: Landscape analysis of data governance in emerging NIH-supported platforms.
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DOI：
10.1016/j.xhgg.2023.100196
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发表时间：
2023-07-13
期刊：
影响因子：
--
通讯作者：
Fullerton, Stephanie M.
中科院分区：
文献类型：
--
作者：
Dahlquist, Jacklyn M.;Nelson, Sarah C.;Fullerton, Stephanie M.
基因组数据的存储、共享和分析带来了技术和后勤挑战，促进了旨在促进协作和最大限度地发挥数据的科学效用的基于云的计算平台的开发。为了了解云平台的政策和程序及其对不同利益相关者群体的影响，我们在2021年夏季审查了来自平台网站、科学文献和NIH资助的五个云平台(我们所有人研究中心、NHGRI Anvil、NHLBI BioData Catalyst、NCI基因组数据共享和儿童第一数据资源中心)和预先存在的数据共享机制DBGaP的公开可用文档(N=94)。对数据治理的七个类别的平台策略进行了比较：数据提交、数据接收、用户身份验证和授权、数据安全、数据访问、审计和制裁。我们的分析发现了跨平台的相似之处，包括依赖正式的数据接收流程、具有不同用户身份验证和/或授权要求的多层数据访问、平台和用户数据安全措施，以及对不适当数据使用的审计。平台在数据层的组织方式以及跨访问层的用户身份验证和授权的细节方面有所不同。我们的分析描绘了NIH资助的新兴云平台上的数据治理要素，因此为寻求了解和利用跨平台数据访问和分析选项的利益相关者提供了关键资源，并揭示了可能需要协调以实现所需互操作性的治理方面。美国国立卫生研究院开发了基于云的数据共享和分析平台，以促进基因组和其他生物医学数据的广泛使用。我们总结了五个此类平台的政策和程序，包括与数据提交、数据摄取、用户身份验证和授权、数据安全、数据访问、审计和制裁相关的政策和程序。
The storage, sharing, and analysis of genomic data poses technical and logistical challenges that have precipitated the development of cloud-based computing platforms designed to facilitate collaboration and maximize the scientific utility of data. To understand cloud platforms’ policies and procedures and the implications for different stakeholder groups, in summer 2021, we reviewed publicly available documents (N = 94) sourced from platform websites, scientific literature, and lay media for five NIH-funded cloud platforms (the All of Us Research Hub, NHGRI AnVIL, NHLBI BioData Catalyst, NCI Genomic Data Commons, and the Kids First Data Resource Center) and a pre-existing data sharing mechanism, dbGaP. Platform policies were compared across seven categories of data governance: data submission, data ingestion, user authentication and authorization, data security, data access, auditing, and sanctions. Our analysis finds similarities across the platforms, including reliance on a formal data ingestion process, multiple tiers of data access with varying user authentication and/or authorization requirements, platform and user data security measures, and auditing for inappropriate data use. Platforms differ in how data tiers are organized, as well as the specifics of user authentication and authorization across access tiers. Our analysis maps elements of data governance across emerging NIH-funded cloud platforms and as such provides a key resource for stakeholders seeking to understand and utilize data access and analysis options across platforms and to surface aspects of governance that may require harmonization to achieve the desired interoperability. Cloud-based data sharing and analysis platforms have been developed by the NIH to promote broad use of genomic and other biomedical data. We summarize policies and procedures of five such platforms, including those related to data submission, data ingestion, user authentication and authorization, data security, data access, auditing, and sanctions.
影响因子：
7
作者：
Alcazar, Rosa;Alvarez, Maria;Arnold, Rachel;Ayalew, Mentewab;Best, Lyle G.;Campbell, Michael C.;Chowdhury, Kamal;Cox, Katherine E. L.;Daulton, Christina;Deng, Youping;Easter, Carla;Fuller, Karla;Hakim, Shazia Tabassum;Hoffman, Ava M.;Kucher, Natalie;Lee, Andrew;Lee, Joslynn;Leek, Jeffrey T.;Meller, Robert;Mendez, Loyda B.;Mendez-Gonzalez, Miguel P.;Mosher, Stephen;Nishiguchi, Michele;Pratap, Siddharth;Rolle, Tiffany;Roy, Sourav;Saidi, Rachel;Schatz, Michael C.;Sen, Shurjo K.;Sniezek, James;Martinez, Edu Suarez;Tan, Frederick J.;Vessio, Jennifer;Watson, Karriem;Westbroek, Wendy;Wilcox, Joseph;Wright, Carrie;Xie, Xianfa
通讯作者：
Xie, Xianfa