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室，研究人员、教育工作者和企业家可以跨越机构和地理边界访问该协作室，从而促进社区参与并加快跨学科研究。使用现有组件并在新泽西州和宾夕法尼亚州现有网络基础设施和资源的基础上创建联合数据系统。7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、德雷克塞尔大学、坦普尔大学和纽约城市大学)；间接地，新泽西州和宾夕法尼亚州高速网络服务的其他地区性学校也参与其中。该系统适用于蛋白质-DNA相互作用、智慧城市等多个科学和工程领域，并有可能扩展到其他领域。网络基础设施将被整合到几所院校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，供研究和教育团体协作使用。构建了一个主要基于商业现成技术的数据管理和共享系统。该存储系统基于Hadoop分布式文件系统(HDFS)，这是一个基于Java的文件系统，提供可扩展且可靠的数据存储，旨在跨越大型商用服务器集群。使用了Fedora和vivo基于对象的存储系统，从而实现了关联数据方法。该系统将与现有的研究数据储存库相结合，如海洋天文台倡议和蛋白质数据库储存库。利用了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的Keystone倡议(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。该项目还开发了一个定制站点联合和数据服务层；数据服务层提供以下服务：数据链接、搜索和共享；与计算、分析和可视化相结合；附加唯一数字对象识别符(DOI)、归档数据并向内部和更广泛的受众广泛发布的机制；以及管理长期数据生命周期，确保不可改变和真实的数据和可重复的研究。

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.