DataNet Full Proposal: DataNet Federation Consortium

重大的科学和工程计划依赖于大量的数据收集，这些数据包括观测数据、实验数据、模拟数据和工程数据。为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。实施原型将涉及科学和工程数据的生命周期以及数据收集和储存库随时间的可持续性，跨越技术和使用的变化。建设国家基础设施的动机来自NSF海洋天文台倡议(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)、教育和CAD/CAM/CAE档案方面的工程项目、iPLANT协作(基因组数据库)、奥杜姆社会科学研究所(统计)和NSF科学学习中心(EEG/MRI传感器数据、视频)的数据管理要求。提到的每一项国家倡议都实施了一个基于iRODS数据网格技术的核心数据管理系统。通过联邦，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收集。由此产生的基础设施将使学术机构和联邦机构以及跨国界的研究人员能够进行合作研究。管理数据生命周期每个阶段的政策(计算机可操作规则)和程序(计算机可执行工作流程)的演变将得到支持。将为每个域实施特定的政策和程序，以支持其在本地数据网格中管理数据的社区标准。该项目将开发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阶段的政策和程序，并制定能够重复使用收集的政策和程序。国家数据管理基础设施将展示符合国家科学基金会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.