CREST-Cyber-ShARE Center of Excellence: A Center for the Sharing of Cyber-Resource to Advance Science and Education

CREST-Cyber​​-Share 卓越中心：共享网络资源以推进科学和教育的中心

• 批准号: 0734825
• 负责人: Ann Gates
• 金额: $ 499.99万
• 依托单位: University of Texas at El Paso
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0734825&HistoricalAwards=false
• 关键词: CREST; Cyber; ShARE; Center; Excellence

The Cyber-ShARE Center will bring together experts in computer science, computational mathematics, education, earth science, and environmental science to address the challenge of providing information to scientists and other users of cyber-infrastructure (CI) that allows them to make informed decisions about the resources that they retrieve and to have confidence in using results from CI-based applications. The Cyber-ShARE team will conduct innovative research to facilitate the development of CI-based applications and increase their use by scientists by enhancing CI results with provenance information, trust recommendations, and uncertainty levels (areas that are recognized as essential for the success of CI); by creating scientist-centered tools and artifacts; and by contributing CI resources to appropriate CI portals. In addition, the synergistic and multi-disciplinary subprojects will advance knowledge in i) provenance to capture knowledge about uncertainty and trust using results from discipline experts; ii) the physical properties of the Earth by studying CI-based techniques and approaches for integrating data with varying accuracy and sensitivity; iii) optimization of data streams and sensor arrays in ecological and environmental networks by targeting improved characterization of environmental phenomena and processes.

网络共享中心将汇集计算机科学、计算数学、教育、地球科学和环境科学方面的专家，以解决向科学家和网络基础设施（CI）的其他用户提供信息的挑战，使他们能够对他们检索的资源做出明智的决策，并对使用基于CI的应用程序的结果有信心。Cyber-ShARE团队将开展创新研究，以促进基于CI的应用程序的开发，并通过使用来源信息、信任建议和不确定性水平（被认为对CI成功至关重要的领域）来增强CI结果，从而增加科学家对CI的使用；通过创建以科学家为中心的工具和工件；并通过向适当的CI门户提供CI资源。此外，协同和多学科子项目将推进以下方面的知识：1)利用学科专家的结果获取有关不确定性和信任的知识；ii)通过研究基于ci的技术和方法，以不同的精度和灵敏度整合数据，从而了解地球的物理特性；Iii)通过改善环境现象和过程的表征，优化生态和环境网络中的数据流和传感器阵列。