CRI: Planning - A Massive and Heterogeneous Data Repository for Computing Research on the Gulf of Mexico

CRI：规划 - 用于墨西哥湾计算研究的大规模异构数据存储库

• 批准号: 0708596
• 负责人: Long-zhuang Li
• 金额: --
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0708596&HistoricalAwards=false
• 关键词: CRI; Planning; Massive; Heterogeneous; Data

The goal of this planning project is to assemble a multi-disciplinary and multi-institutional team of computer scientists, biologists, marine scientist, and environmental researchers to develop a CRI large community resource proposal for building a massive and heterogeneous data repository. The data repository will consist of biological, ecological, and geographical information science (GIS) related data that will enhance cutting-edge computing research in the Gulf of Mexico (GOM). The repository will incorporate new data, but will largely consist of existing data from a variety of ocean observing systems around the GOM and the Harte Research Institute (HRI) at Texas A&M University-Corpus Christi (TAMU-CC). The development of the repository will be an interdisciplinary effort involving researchers from computer science, GIS, marine science, biological science, and environmental science, etc. The unique coastal location of TAMU-CC is an ideal environment for the development of the repository. The primary activities of this planning project are: (1) soliciting and analyzing detailed requirements from the research community; (2) examining and identifying data sets from different GOM ocean observation systems and the HRI; and (3) investigating the alternative repository architectures. The research objective is to provide the research community with multi-dimensional data sets for managing, analyzing, storing, sharing, visualizing, querying, and disseminating. The inherent dimensionality of the repository will stimulate the development of novel research supporting integrated research in a wide range of computing areas. The integration of data from different ocean monitoring systems and the HRI will lead to further renewal of demands for the development of novel technologies designed for the organization and mining of the data to enhance computing research. The heterogeneous nature of weather, oceanic and coastal observation, and biological and ecological data?ranging from free-text, image, sound, video, and sensor readings to GIS airborne multi-spectral imaging?provides an excellent research resource and test-bed for development of novel computing technologies. Areas of possible concentration are data integration, database modeling, information storage and retrieval, data mining, human computer interaction, modeling and forecasting, visualization, parallel processing, etc. The integrated repository will not only aid research in the GOM by providing enormous amount of raw data, but also become a valuable resource for the public, local government officials, scientists, natural resource managers and educators. Once completed, the repository will serve as a data resource for students in interdisciplinary science courses. Theproject will also have strong potential for extended outreach to other institutions in the GOM, including a K-12 outreach component.

这个规划项目的目标是组建一个由计算机科学家、生物学家、海洋科学家和环境研究人员组成的多学科和多机构团队，为建立一个大规模的异构数据存储库开发一个CRI大型社区资源提案。数据存储库将包括生物，生态和地理信息科学（GIS）相关数据，这些数据将增强墨西哥湾（GOM）的尖端计算研究。该存储库将纳入新的数据，但主要包括来自墨西哥湾周围各种海洋观测系统和德克萨斯A M大学科珀斯克里斯蒂（TAMU-CC）哈特研究所（HRI）的现有数据。 储存库的开发将是一个跨学科的努力，涉及计算机科学，地理信息系统，海洋科学，生物科学和环境科学等的研究人员，TAMU-CC独特的沿海位置是一个理想的环境，为储存库的发展。该规划项目的主要活动是：（1）征求和分析研究界的详细要求;（2）检查和确定来自墨西哥湾不同海洋观测系统和HRI的数据集;（3）调查替代储存库架构。研究目标是为研究社区提供多维数据集，用于管理，分析，存储，共享，可视化，查询和传播。存储库的固有维度将刺激新的研究的发展，支持广泛的计算领域的综合研究。 来自不同海洋监测系统和HRI的数据的整合将导致进一步更新对开发新技术的需求，这些新技术旨在组织和挖掘数据，以加强计算研究。天气、海洋和沿海观测以及生物和生态数据的异质性？从自由文本、图像、声音、视频和传感器读数到GIS机载多光谱成像？为开发新的计算技术提供了一个极好的研究资源和试验平台。可能集中的领域是数据集成，数据库建模，信息存储和检索，数据挖掘，人机交互，建模和预测，可视化，并行处理等集成存储库不仅将通过提供大量的原始数据来帮助GOM的研究，而且还将成为公众，地方政府官员，科学家，自然资源管理人员和教育工作者的宝贵资源。 一旦完成，存储库将作为跨学科科学课程的学生的数据资源。该项目还将有很大的潜力，扩大外展到其他机构在墨西哥湾，包括K-12外展组成部分。