东北亚区域是一个资源相对集中,生态环境格局复杂,气候地带性多样,人地关系对比显著的区域。集成该区域的资源环境综合科学考察数据,对于支撑全球变化等前沿科学研究和区域可持续发展等具有重要意义。针对该区域数据资源缺乏的现状,研究构建了包括三大体系的东北亚资源环境综合科学考察数据集成系统,即数据资源采集与管理标准规范体系、数据分类体系、数据应用平台软件体系。其中,标准规范体系包括数据采集规范、数据管理规范和综合考察规范3类共23项;数据分类体系包括4个大类、25个小类、128个要素;数据平台软件系统包括数据目录检索管理、元数据管理、数据发布与可视化、数据浏览与获取等5个功能模块;鉴此,用地理信息技术和网络技术,实现了东北亚资源环境综合科学考察数据集成原型系统。目前,已集成144个数据集(库),数据量超过2TB,为东北亚综合科学考察数据的深度集成和应用奠定基础。
Northeast Asia is a key area for Earth system study, global change frontier science research and regional sustainable development research, where has complex ecological environment pattern, variety of climate zones, and typical human-earth relationship comparing characteristics. Large amount of scientific expedition data are accumulated in the past several years in Northeast Asia (here refers to Northern China, Mongolia, and Siberia and Far East area of Russia) under the cooperation of China, Mongolia and Russia scientists. These data have multi-disciplinary features. How to integrate these scientific expedition data public services is a problem. According to these scientific expedition data accumulation and management requirements, we designed a data resources integration system, which has 3 sub systems, i.e., data resources collect and management standards and specifications system, data classification system, data management and publication software platform. Data resources collection and management standard and specification system has 23 specifications, which can be divided into 3 types, i.e., data collection and processing specification type, data analysis and archiving specification, and data management and sharing specification. Data resources classification system has 4 classes, 25 sub classes and 128 data elements. Data management and publication software platform has 5 function models, i.e., data catalogue search model, metadata management model, data publication and virtualization model, data view model and data download model. Based on the designed data integration system, a prototype system has been developed supported by computer technology and Web GIS technology. As far 144 datasets have been integrated in this data system. With more and more data are accumulated and integrated in this system, it will play an important role for the scientific expedition data application and analysis in the near future.
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