CIF21 DIBBs: EI: Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science

该项目开发了一个虚拟数据协作实验室，研究人员、教育工作者和企业家可以跨越机构和地理界限访问该实验室，促进社区参与并加速跨学科研究。一个联邦数据系统被创建，使用现有组件，并建立在现有的网络基础设施和资源在新泽西州和宾夕法尼亚州。七所大学直接参与其中（罗格斯大学的三个校区、宾夕法尼亚州立大学、宾夕法尼亚大学、匹兹堡大学、德雷塞尔大学、天普大学和纽约城市大学）；间接地，其他由新泽西州和宾夕法尼亚州高速网络服务的地区学校也参与其中。该系统适用于多个科学和工程领域，如蛋白质- dna相互作用和智能城市，并有可能扩展到其他领域。网络基础设施将被整合到几个机构的研究生和本科生课程中。最终产品是一个完全开发的系统，供研究和教育界协作使用。构建了一个数据管理和共享系统，主要基于商业现成的技术。存储系统基于Hadoop分布式文件系统（HDFS），这是一个基于java的文件系统，提供可扩展和可靠的数据存储，旨在跨越大型商品服务器集群。使用Fedora和VIVO基于对象的存储系统，支持链接数据方法。该系统将与现有的研究数据库集成，例如海洋观测站倡议和蛋白质数据库数据库。利用区域高性能计算和网络基础设施，包括新泽西州的区域教育和研究网络（NJEdge）、宾夕法尼亚州的基于网络的教育和研究Keystone计划（KINBER）、极端科学和工程发现环境（XSEDE）计算能力、开放科学网格和其他NSF校园网络基础设施投资。该项目还开发了自定义站点联合和数据服务层；数据服务层提供数据链接、搜索、共享等服务；耦合到计算、分析和可视化；附加唯一数字对象标识符（doi）、存档数据并向内部和更广泛的受众广泛发布的机制；并管理长期的数据生命周期，确保数据的不可变性和真实性以及研究的可重复性。

This project develops a virtual data collaboratory that can be accessed by researchers, educators, and entrepreneurs across institutional and geographic boundaries, fostering community engagement and accelerating interdisciplinary research. A federated data system is created, using existing components and building upon existing cyberinfrastructure and resources in New Jersey and Pennsylvania. Seven universities are directly involved (the three Rutgers University campuses, Pennsylvania State University, the University of Pennsylvania, the University of Pittsburgh, Drexel University, Temple University, and the City University of New York); indirectly, other regional schools served by the New Jersey and Pennsylvania high-speed networks also participate. The system has applicability to a several science and engineering domains, such as protein-DNA interaction and smart cities, and is likely to be extensible to other domains. The cyberinfrastructure is to be integrated into both graduate and undergraduate programs across several institutions. The end product is a fully-developed system for collaborative use by the research and education community. A data management and sharing system is constructed, based largely on commercial off-the-shelf technology. The storage system is based on the Hadoop Distributed File System (HDFS), a Java-based file system providing scalable and reliable data storage, designed to span large clusters of commodity servers. The Fedora and VIVO object-based storage systems are used, enabling linked data approaches. The system will be integrated with existing research data repositories, such as the Ocean Observatories Initiative and Protein Data Bank repositories. Regional high-performance computing and network infrastructure is leveraged, including New Jersey's Regional Education and Research Network (NJEdge), Pennsylvania's Keystone Initiative for Network Based Education and Research (KINBER), the Extreme Science and Engineering Discovery Environment (XSEDE) computing capabilities, Open Science Grid, and other NSF Campus Cyberinfrastructure investments. The project also develops a custom site federation and data services layer; the data services layer provides services for data linking, search, and sharing; coupling to computation, analytics, and visualization; mechanisms to attach unique Digital Object Identifiers (DOIs), archive data, and broadly publish to internal and wider audiences; and manage the long-term data lifecycle, ensuring immutable and authentic data and reproducible research.