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Government data identification is a fundamental work in building a national integrated government big data system. This article reviewed the research progress of data identification technology, compared the similarities and differences in coding rules of different data identification technologies, and further reviewed the progress of government data identification and its applications. Based on the clear rights and responsibilities, high security requirements, and strong compatibility requirements of government data, the next generation government data identification system Gcode was proposed. Gcode consists of three parts: external code, internal code, and security code. Among them, the external code was compatible with the Code for Unified Social Information, the internal code established an association relationship of "institution-departmentsystem-data", and the security code achieved anti-counterfeiting verification by introducing blockchain technology. Gcode has clear rights and responsibilities, strong compatibility and high security, and can support cross-level, cross-region, crosssystem, cross-department, and cross-business sharing of government data, effectively promoting the implementation of "one data, one source" of government data. [ABSTRACT FROM AUTHOR]

Natural resources and geographic information big data are regarded as essential productive factors in the context of digital government, and an important component of the national integrated government big data system. Due to data dispersion and isolated application program existing in the various departments, it is difficult to realize data sharing and application across departments and businesses, leading to the low utilization rate of data. In response to the issues mentioned above, the digital government spatio-temporal data center was designed with the demands for natural resource and geographic information big data services. The critical components, including storage computation, data structure and application support were introduced clearly. By integrating the natural resources and geographic information database with the population comprehensive database and legal person comprehensive database, an organic composition of people, enterprises and geographic locations was established, which was explained by the specific application practices. [ABSTRACT FROM AUTHOR]