DataNet Full Proposal: DataNet Federation Consortium

DataNet 完整提案：DataNet 联盟联盟

• 批准号: 0940841
• 负责人: Arcot Rajasekar
• 金额: $ 800万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0940841&HistoricalAwards=false
• 关键词: DataNet; Full; Proposal; Federation; Consortium

Major science and engineering initiatives are dependent upon massive data collections that comprise observational data, experimental data, simulation data, and engineering data. To support science and engineering collaborations, a policy driven national data management infrastructure will be implemented. The implementation prototype will address both the life cycle of science and engineering data and the sustainability of data collections and repositories over time, across changes in technology and changes in usage. The motivation for building the national infrastructure comes from the data management requirements of the NSF Ocean Observatories Initiative (real-time data streams, simulation output, video), the NSF Consortium of Universities for Advancement of Hydrologic Science (point data), engineering projects in education and CAD/CAM/CAE archives, the iPlant collaborative (genome databases), the Odum social science institute (statistics), and the NSF Science of Learning Centers (EEG / MRI sensor data, video).The approach is based on a bottom-up federation of existing data management systems through use of the integrated Rule-Oriented Data System (iRODS). Each of the referenced national initiatives has implemented a core data management system based upon the iRODS data grid technology. Through federation, the independent systems can be assembled into a national data infrastructure that integrates collections across project-specific technology (such as real-time sensor data acquisition systems), institutional repositories, regional data grids, federal repositories, and international data grids. The resulting infrastructure will enable collaborative research among researchers in academic institutions and federal agencies, and across national boundaries.Evolution of the policies (computer actionable rules) and procedures (computer executable workflows) that govern each stage of the data life cycle will be supported. Specific policies and procedures will be implemented for each domain to support their community standards for managing data in their local data grid. The project will develop the interoperability mechanisms required to share data between the domains, develop sets of policies and procedures to govern the data life cycle stages, and develop policies and procedures that enable re-use of collections. The national data management infrastructure will demonstrate enforcement of data management policies that comply with NSF Data management and preservation requirements.

主要的科学和工程计划依赖于大量的数据收集，包括观测数据、实验数据、模拟数据和工程数据。为了支持科学和工程合作，将实施一个政策驱动的国家数据管理基础设施。实现原型将解决科学和工程数据的生命周期，以及数据收集和存储库随时间的可持续性，跨越技术变化和使用变化。建设国家基础设施的动机来自于NSF海洋观测站计划（实时数据流、模拟输出、视频）、NSF水文科学促进大学联盟（点数据）、教育工程项目和CAD/CAM/CAE档案、iPlant合作（基因组数据库）、Odum社会科学研究所（统计）和NSF科学学习中心（EEG / MRI传感器数据）的数据管理需求。视频)。该方法通过使用集成的面向规则的数据系统（iRODS），以现有数据管理系统的自底向上联合为基础。所引用的每一项国家倡议都实施了基于iRODS数据网格技术的核心数据管理系统。通过联合，独立的系统可以组装成一个国家数据基础设施，该基础设施集成了跨项目特定技术（如实时传感器数据采集系统）、机构存储库、区域数据网格、联邦存储库和国际数据网格的集合。由此产生的基础设施将使学术机构和联邦机构的研究人员之间以及跨越国界的合作研究成为可能。管理数据生命周期的每个阶段的策略（计算机可操作的规则）和过程（计算机可执行的工作流）的演变将得到支持。将为每个领域实施特定的政策和程序，以支持他们在本地数据网格中管理数据的社区标准。该项目将开发在域之间共享数据所需的互操作性机制，开发管理数据生命周期阶段的策略和过程集，并开发支持重用集合的策略和过程。国家数据管理基础设施将演示符合NSF数据管理和保存要求的数据管理政策的执行。