Flexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources

灵活的混合云基础设施，可无缝管理 HuBMAP 资源

• 批准号: 10017372
• 负责人: Philip D. Blood
• 金额: $ 50万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-21 至 2022-06-20
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10017372
• 关键词: 3-Dimensional; Architecture; Atlases; Award; BRAIN initiative; Blood; Brain imaging; Budgets; Cancer Research Network; Cells; Censuses; Centers for Disease Control and Prevention (U.S.); Chicago; Cloud Computing; Collection; Complex; Computer software; Data; Data Science; Data Set; Deposition; Ensure; FAIR principles; FaceBase; Goals; Grant; Health Technology; Human; Human body; Hybrids; Image; Imagery; Infrastructure; Institutes; Lead; Leadership; Licensing; Maps; National Heart, Lung, and Blood Institute; National Institute of Dental and Craniofacial Research; National Institute of General Medical Sciences; Output; Participant; Philosophy; Process; Recording of previous events; Reproducibility; Research; Resources; Role; Running; Scientist; Security; Services; Site; Site Visit; Solid; Structure; Supercomputing; System; Technology; Time; Tissues; United States National Institutes of Health; Universities; Vision; Work; base; collaboratory; computing resources; cost; cyber infrastructure; data management; data resource; data sharing; design; experience; flexibility; image archival system; imaging scientist; open data; peer networks; programs; social; software development; tool; tumor; usability; user centered design; virtual

To provide for the Infrastructure Component (IC) of the HuBMAP HIVE, Pittsburgh Supercomputing Center (PSC) and the University of Pittsburgh (Pitt) will create a flexible and scalable hybrid cloud infrastructure in close coordination with the HIVE Collaboratory, the HuBMAP Consortium, and stakeholders world wide. This proposed IC will seamlessly connect HuBMAP with storage and co-located compute resources for depositing, accessing, querying, searching, analyzing, and visualizing both raw and processed HuBMAP data. Data and tools incorporated into the IC will be findable, accessible, interoperable, reusable (FAIR), and put together in reproducible, shareable workflows that can be run locally and on all major public clouds. The IC services will be flexible and extensible to incorporate new data, tools, technologies, security needs, federated identity and user roles via modular architecture of APIs and containers. These features enable tools to be both rapidly deployed and modifiable, defined as distinct functions with defined inputs and outputs, enabling solidly constructed repeatable pipelines. The IC will provide the open data platform for study of tissue organization and function through 3D biomolecular tissue maps in the spatial framework of the human body envisioned by HuBMAP. Our vision for the HuBMAP infrastructure is flexible, efficient delivery on HuBMAP’s goals, on sustainable platforms, by engaged and experienced leadership. We see the infrastructure component in a key service role to other HIVE components, TMCs, NIH program, and interacting with other atlas projects. Our design is based upon existing substantial persistent infrastructure supported by many projects with a 30-year history. At PSC, HuBMAP will be sustained for decades at reasonable cost and/or integrate with other programs. In addition to leadership and grounded technology expertise, we are proposing full-time project management and imaging and data science expertise within our team. These capabilities will allow the infrastructure component staff to engage as “ever-present” participants in any aspects of the discussions of the integrated collaboratory conceived by the HuBMAP program (e.g. HIVE, TMCs, NIH staff). The structure of the HIVE enables the infrastructure component to focus on delivery and the engagement required for delivery.

为匹兹堡超级计算中心的HuBMAP HIVE提供基础设施组件（IC） (PSC)和匹兹堡大学（皮特）将创建一个灵活和可扩展的混合云基础设施， 与HIVE合作实验室、HuBMAP联盟和世界各地的利益攸关方协调。这一拟议 IC将无缝连接HuBMAP与存储和协同定位的计算资源， 查询、搜索、分析和可视化原始和处理后的HuBMAP数据。数据和工具 集成电路中包含的信息将是可查找的、可访问的、可互操作的、可重复使用的（FAIR）， 可复制、可共享的工作流，可以在本地和所有主要的公共云上运行。IC服务将 灵活且可扩展，以纳入新数据、工具、技术、安全需求、联合身份和用户 角色通过API和容器的模块化架构。这些功能使工具能够快速部署， 和可修改的，定义为具有定义的输入和输出的不同功能， 可重复的管道。该IC将为组织结构和功能的研究提供开放的数据平台 通过HuBMAP设想的人体空间框架中的3D生物分子组织图。 我们对HuBMAP基础设施的愿景是灵活、高效地实现HuBMAP的目标， 平台，通过参与和经验丰富的领导。我们认为基础设施组件扮演着关键的服务角色 其他HIVE组件，TMC，NIH计划，并与其他Atlas项目互动。我们的设计基于 基于已有30年历史的许多项目所支持的现有实质性持久基础设施。在PSC， HuBMAP将以合理的成本持续数十年，并/或与其他计划相结合。除了 领导力和扎实的技术专业知识，我们建议全职项目管理和成像， 我们团队中的数据科学专业知识。这些功能将使基础架构组件的工作人员能够 作为“始终在场”的参与者，参加 HuBMAP计划（例如HIVE、TMC、NIH工作人员）。HIVE的结构使基础设施组件 专注于交付和交付所需的参与。