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A Study on the Organizational Architecture and Standard System of the Data Sharing Network of Earth System Science in China

机译:中国地球系统科学数据共享网络的组织架构和标准体系研究

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References(14) The aim of this paper is to discuss the organizational architecture and standard system for sharing research data at the national level. The Data Sharing Network of Earth System Science (DSNESS) is one of the nine pilot projects of the Scientific Data Sharing Project in China that has become a long-term operational research data-sharing platform in the National Science and Technology Infrastructure (NSTI) of China. First, a data sharing union mechanism was designed with the core principle being, “data come from research and will be reused in research”. Second, a data sharing organizational architecture was constructed that consists of three sections: data resource architecture, data management architecture, and data services architecture. A physical data sharing network was constructed that includes one general center and 15 distributed sub-centers based on the architecture. Third, a series of data sharing standards and specifications were designed and implemented in the DSNESS. The reference model of the DSNESS standard system includes three levels of standards: directive standards, general standards, and application standards. In total, 21 high level standards and specifications were developed and implemented in the DSNESS. Several core standards and specifications, such as the extensible metadata standard, data quality control specifications, and so on, were analyzed in detail. Finally, the data service effect was summarized in three aspects: dataset services, standard and specification services, and international cooperation services. This research shows that the organizational architecture and standard system is a very important soft environment for research data sharing. The practices of DSNESS will provide useful experiences for multi-disciplinary data sharing in Earth science and will help to eliminate the data gap between the rich and poor at the national level.
机译:参考文献(14)本文旨在探讨在国家层面共享研究数据的组织架构和标准体系。地球系统科学数据共享网络(DSNESS)是中国科学数据共享项目的九个试点项目之一,现已成为美国国家科学技术基础设施(NSTI)的长期运营研究数据共享平台。中国。首先,设计了一个数据共享联合机制,其核心原则是“数据来自研究,并将在研究中重用”。其次,构建了一个数据共享组织架构,该架构包括三个部分:数据资源架构,数据管理架构和数据服务架构。根据该架构,构建了一个物理数据共享网络,该网络包括一个总中心和15个分布式子中心。第三,在DSNESS中设计并实施了一系列数据共享标准和规范。 DSNESS标准系统的参考模型包括三个级别的标准:指令标准,通用标准和应用程序标准。在DSNESS中,总共制定并实施了21个高级标准和规范。详细分析了一些核心标准和规范,例如可扩展的元数据标准,数据质量控制规范等。最后,从三个方面总结了数据服务的作用:数据集服务,标准和规范服务以及国际合作服务。研究表明,组织架构和标准体系是研究数据共享的非常重要的软环境。 DSNESS的实践将为地球科学中的多学科数据共享提供有用的经验,并将有助于消除国家一级贫富之间的数据鸿沟。

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