Innovative Functionality of the Scientific and Technical Information System of China

The purpose of this article is to reveal the structure and innovative potential of the big data industry as a component of China’s scientific and technical information system. The methodology. The research was conducted using a complex of theoretical and empirical methods of scientific knowledge, which made it possible to identify the main components of China’s scientific and technical information system, establish its innovative functionality through the identification of the capabilities of national and industry platforms of big data, their aggregators and users. The following scientific approaches were used as a cognitive toolkit for the realization of the set goal: systemic, structural-functional, comparative, as well as research methods: source studying, statistical, modeling, content analysis of the sites of the Documentation and Information Center of the Chinese Academy of Sciences. The results. Summarizing the achievements of the People’s Republic of China in the implementation of the “National Strategy for the Formation of Big Data” made it possible to establish that the key aggregators of this information resource are the Ministry of Industry and Information Technology of the People’s Republic of China, the Center for Documentation and Information of the Chinese Academy of Sciences, the National Center for Innovative Technologies of Engineering Big Data on Earth and Space, the Institute of Aerospace Information Innovations of the Chinese Academy of Sciences, the National Astronomical Observatory of China, the Bureau of Geological Survey of the Ministry of Natural Resources of China, the Institute of Remote Sensing and Digital Earth of the Chinese Academy of Sciences, the Institute of Agricultural Resources and Agricultural Zoning of the Chinese Academy of Agricultural Sciences, which form powerful industrial big data platforms. It is substantiated that the adoption of unified standards and data management protocols and their exchange, guaranteeing data security through the development of powerful technical tools for the protection of digital resources will contribute to increasing the efficiency of the interaction of big data platforms regarding their corporate use. An important organizational measure to accelerate the aggregation and integration of big data is the creation of a national industrial Internet center for big data processing, among the functions of which will be the collection of industrial data, support for their monitoring and anal