Abstract
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.
Highlights
To recognize, discover, and understand the Earth’s system, scientists and the public need a large amount of historic and current data
A data sharing organizational architecture was constructed that consists of three sections: data resource architecture, data management architecture, and data services architecture
This research shows that the organizational architecture and standard system is a very important soft environment for research data sharing
Summary
Discover, and understand the Earth’s system, scientists and the public need a large amount of historic and current data. As one of the nine pilot projects in the SDSP, the Data Sharing Network of Earth System Science (DSNESS) attempts to integrate and share research data in the basic and frontier fields of ESS (Sun et al 2003). It has been one of the platforms in the National Science and Technology Infrastructure (NSTI) in China since 2005 and has been authorized as a unique national data sharing platform on ESS in 2011 by the MOST and the Ministry of Finance (MOF).
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