DataNet Full Proposal: DataNet Federation Consortium

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，将实施政策驱动的国家数据管理基础设施。实施原型将解决科学和工程数据的生命周期以及数据收集和储存随着时间的推移、技术变化和使用变化的可持续性。建立国家基础设施的动机来自NSF海洋观测站倡议的数据管理要求（实时数据流，模拟输出，视频），NSF大学水文科学促进联盟（点数据），教育工程项目和CAD/CAM/CAE档案，iPlant协作（基因组数据库），奥德姆社会科学研究所（统计）和NSF学习科学中心（EEG / MRI传感器数据，视频）。该方法的基础是通过使用集成的面向规则的数据系统（iRODS）对现有数据管理系统进行自下而上的联合. 所提到的每一项国家举措都实施了一个以iRODS数据网格技术为基础的核心数据管理系统。 通过联合，独立的系统可以被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能够进行跨国界的合作研究，并将支持管理数据生命周期每个阶段的政策（计算机可执行规则）和程序（计算机可执行工作流程）的演变。 将为每个领域实施具体的政策和程序，以支持其社区标准，管理其本地数据网格中的数据。 该项目将开发在各领域之间共享数据所需的互操作性机制，制定一套管理数据生命周期各阶段的政策和程序，并制定能够重新使用收集的数据的政策和程序。 国家数据管理基础设施将展示符合NSF数据管理和保存要求的数据管理政策的执行情况。

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.