MRI: Instrumentation for Enabling Data Analysis, Sharing, Storage, and Preservation

MRI：用于实现数据分析、共享、存储和保存的仪器

• 批准号: 1126113
• 负责人: Michael Kress
• 金额: $ 131.18万
• 依托单位: CUNY College of Staten Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126113&HistoricalAwards=false
• 关键词: MRI; Instrumentation; Enabling; Data; Analysis

Retaining collected data and sharing it with the broader research community is necessary for developing a better understanding of the impact of urbanization on the global ecology and environment. The data intensive instrument to be installed at CUNY College of Staten Island will provide data analysis and data asset management capabilities to allow researchers to share, federate, and retain data and will provide for reproducibility and traceability. Researchers will be able to organize, analyze, manage and annotate metadata, and search and share their data sets. The proposed interface will use a service-­oriented architecture based on an open standards framework to provide a library of core services for managing data and metadata. It includes a hierarchical storage system with at least a 1.4 petabyte disk farm and at least a 1.2 petabyte robotic tape system. The instrument will enable the expanded use of computations for a large number of researchers in the biological, ecological, environmental, and economic disciplines. In environmental studies, it will facilitate the creation of a "virtual" urban-oceanographic-atmospheric­-land observatory allowing four significant Research Centers that are studying various aspects of the effects of urbanization to now retain and share their data. The instrument will help to accelerate the research required to understand and forecast the impact of mega city and urban planning decisions on the local and global environment, on ecology and ecosystem services, on energy systems, and on economic systems. It will have similar benefits to researchers in other disciplines. The Research Centers are committed to use the instrument to share their data and the results of their research with each other and the broader research community. Each of the participating Research Centers is multi-­institutional. Many of them are led by, and most include, Minority Serving Institutions. Consistent with NSF policy and CUNY traditions, each of these Research Centers has extensive internship and training programs that encourage women and minority student participation. Fall 2009 enrollment statistics for the 23 institutions that comprise CUNY show that 53% of its 259.515 full-­time students were Black or Hispanic and 60% were female. Fall 2009 statistics showed 27,962 students enrolled in Science, Technology, Engineering, and Mathematics disciplines, including 65 American Indian/Native American, 6,195 Asian/Pacific Islander, 7,878 Black, 6,473 Hispanic, and 7,351 White students; 34% of the students were female. These statistics and CUNY's College Now, Teacher Academy, and Discovery Institute outreach programs attest to CUNY's commitment to broadening participation and to the outreach initiatives of the NSF.

保留收集的数据并与更广泛的研究界共享，对于更好地了解城市化对全球生态和环境的影响是必要的。将在斯塔滕岛城市大学学院安装的数据密集型仪器将提供数据分析和数据资产管理能力，使研究人员能够共享、联合和保留数据，并将提供可重复性和可追溯性。研究人员将能够组织、分析、管理和注释元数据，并搜索和共享他们的数据集。拟议的接口将使用基于开放标准框架的面向服务的架构，以提供用于管理数据和元数据的核心服务库。它包括一个分层存储系统，其中至少有一个1.4 PB的磁盘场和一个至少1.2 PB的自动磁带系统。该仪器将使生物、生态、环境和经济领域的大量研究人员能够更广泛地使用计算。在环境研究方面，它将促进创建一个“虚拟的”城市-海洋-大气-陆地观测站，使正在研究城市化影响的各个方面的四个重要研究中心现在能够保留和共享其数据。该工具将有助于加快所需的研究，以了解和预测特大城市和城市规划决策对当地和全球环境、对生态和生态系统服务、对能源系统和经济系统的影响。它将与其他学科的研究人员有类似的好处。研究中心致力于使用该仪器与彼此和更广泛的研究社区共享他们的数据和研究结果。每个参与的研究中心都是多机构的。其中许多是由少数族裔服务机构领导的，而且大多数包括少数族裔服务机构。根据NSF的政策和CUNY的传统，每个研究中心都有广泛的实习和培训计划，鼓励女性和少数族裔学生参与。2009年秋季，纽约州立大学23所院校的招生统计数据显示，该校259.515名全日制学生中，53%是黑人或西班牙裔，60%是女性。2009年秋季的统计数据显示，27,962名学生注册了科学、技术、工程和数学学科，其中65名美国印第安人/土著美国人，6,195名亚洲/太平洋岛民，7,878名黑人，6,473名西班牙裔学生和7,351名白人学生；34%的学生是女性。这些统计数据和CUNY的College Now、Teacher Academy和Discovery Institute推广计划证明了CUNY致力于扩大参与和NSF的推广倡议。