Data Management and Storage System for Shared Resource Facilities

共享资源设施数据管理和存储系统

• 批准号: 10177533
• 负责人: Shawn W Polson
• 金额: $ 59.96万
• 依托单位: UNIVERSITY OF DELAWARE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2022-08-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10177533
• 关键词: Archives; Automation; Bioinformatics; Biological Sciences; Biomedical Research; Biotechnology; Centers of Research Excellence; Data; Data Analyses; Data Security; Data Storage and Retrieval; Delaware; Genomics; Goals; Grant; High Performance Computing; Infrastructure; Institutes; Investments; Life; Massive Parallel Sequencing; Performance; Production; Protocols documentation; Research; Research Personnel; Resolution; Resource Sharing; Scientist; Security; Services; System; United States National Institutes of Health; archive data; base; bioimaging; computer infrastructure; computerized data processing; data access; data archive; data integrity; data management; flexibility; instrumentation; operation; petabyte; sequencing platform

Data Management and Storage System for Shared Resource Facilities Project Summary Past investments from the NIH, including the Delaware INBRE and several COBRE center grants, have helped to catalyze biomedical and other life science research in Delaware through establishment of a network of Shared Resource Facilities (SRFs). Several of these SRFs centrally housed at the Delaware Biotechnology Institute (DBI), provide services in Bio-imaging, Genomics, Bioinformatics, and High Performance Computing. These facilities have collectively supported over 1000 researchers across UD and our network of six academic and biomedical research partners in Delaware over the past three years, having a significant impact on biomedical research statewide. With significant advances in instrumentation, including high-resolution, multi-dimensional bioimaging approaches and high-throughput massively parallel DNA sequencing platforms, raw data production from our SRFs has increased significantly in recent years. Processing and analysis further compound the size of these data and require access to significant high-performance computational infrastructure. An advanced and scalable data management solution is crucial to allow our SRFs to meet the data demands of the instrumentation and provide the services that our user-base needs to accomplish their research goals, while maintaining compliance with applicable data integrity, security, and archiving requirements. This proposal would build a centralized data management and processing infrastructure to meet the needs of our SRFs. We request a Dell EMC Isilon storage cluster with integrated data management solution, providing 2 petabytes of raw capacity configured to provide 357TB of fast storage for live data analysis and 832TB of dual redundancy storage for intermediate term data archiving. This solution would meet our projected needs, but is also easily scalable providing the ability to meet other needs that may arise. The platform allows for flexible data access protocols that can be adapted to the varied use-cases our SRFs each represent. The proposed system would allow for a higher level of automation, streamlining and simplifying data management, increasing the efficiency of our operations, while providing new capabilities for provenance tracking and data security. By supporting the data management, storage, and primary data analysis needs of our SRFs, this investment will enable the advancement of research for hundreds of biomedical and life scientists in Delaware.

共享资源设施的数据管理和存储系统 项目摘要 NIH过去的投资，包括特拉华州INBRE和几个COBRE中心 赠款，有助于促进生物医学和其他生命科学研究在特拉华州，通过 建立共享资源设施网络。其中一些SRF 位于特拉华州生物技术研究所（DBI）的中心，提供生物成像服务， 基因组学、生物信息学和高性能计算。这些设施共同 支持了UD和我们的六个学术和生物医学网络的1000多名研究人员 在过去的三年里，特拉华州的研究合作伙伴，对 全州的生物医学研究。 随着仪器的显著进步，包括高分辨率，多维 生物成像方法和高通量大规模并行DNA测序平台，原始 近年来，来自我们的SRF的数据产生显著增加。处理和 分析进一步加剧了这些数据的规模，并需要访问重要的 高性能计算基础设施。先进且可扩展的数据管理 解决方案对于让我们的SRF满足仪器的数据需求至关重要， 提供我们的用户群需要的服务，以实现他们的研究目标，而 保持符合适用的数据完整性、安全性和归档要求。 该提案将建立一个集中的数据管理和处理基础设施， 我们SRF的需求。我们要求Dell EMC Isilon存储群集集成数据 管理解决方案，提供2 PB原始容量，配置为提供357 TB快速 用于实时数据分析的存储和用于中期数据的832 TB双冗余存储 存档。此解决方案将满足我们的预期需求，但也易于扩展， 满足可能出现的其他需求。该平台允许灵活的数据访问 这些协议可以适应我们的SRF各自代表的各种用例。拟议 系统将实现更高水平的自动化，精简和简化数据 管理，提高我们的运营效率，同时提供新的能力， 来源跟踪和数据安全。通过支持数据管理、存储和 我们的SRF的主要数据分析需求，这项投资将促进 为特拉华州的数百名生物医学和生命科学家进行研究。