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

这个规划项目的目标是聚集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的团队，为建立一个海量和异质的数据存储库开发一个CRI大型社区资源提案。该数据库将包括与生物、生态和地理信息科学(GIS)相关的数据，这些数据将加强墨西哥湾(GOM)的尖端计算研究。该储存库将纳入新的数据，但将主要由GOM和德克萨斯州农工大学-科珀斯克里斯蒂的哈特研究所(HRI)周围的各种海洋观测系统(TAMU-CC)的现有数据组成。该储存库的开发将是一项跨学科的努力，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研究人员。TAMU-CC独特的沿海位置是开发该储存库的理想环境。这一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)检查和确定来自不同GOM海洋观测系统和HRI的数据集；以及(3)调查备选的储存库架构。研究的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。储存库的固有维度将刺激新研究的发展，支持在广泛的计算领域进行综合研究。将来自不同海洋监测系统的数据与人权倡议结合起来，将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、海洋和海岸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地理信息系统机载多光谱成像--为开发新的计算技术提供了极好的研究资源和试验台。可能集中的领域包括数据集成、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。集成库不仅将通过提供大量原始数据来帮助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。一旦建成，该资料库将成为跨学科科学课程学生的数据资源。该项目还将有很大潜力扩大与GOM其他机构的外联，包括K-12外联部分。

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.