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On September 4, in order to promote the development of industrial big data, gradually activate the potential of industrial data resource elements, and continuously improve data governance and security assurance capabilities, the Ministry of Industry and Information Technology compiled the Guiding Opinions on the Development of Industrial Big Data (Draft for Comments) (hereinafter referred to as the "Opinions"). The "Opinions" requires that the collection and aggregation of industrial big data resources should be strengthened, industrial enterprises should be guided to carry out data resource cataloging work, strengthen data cleaning and preprocessing, improve data accuracy, completeness and consistency, and realize the visibility, manageability and usability of data resources. Support enterprises to build industrial big data integration platforms and big data centers to achieve the fusion and storage of multi-source heterogeneous data. Encourage enterprises to establish data quality management mechanisms, formulate standardized data quality assessment and supervision, response accountability, and process improvement plans, actively apply advanced quality management tools, and form a closed loop of data quality management.
The details are as follows:
Guidance on the development of industrial big data
(Draft for solicitation of comments)
Industrial big data is the basic strategic resource for the digital, networked and intelligent development of the manufacturing industry, and is having a significant and far-reaching impact on the manufacturing production mode, operation mode and ecosystem. At present, the development and application of industrial big data in China has a certain foundation, but there are also problems such as insufficient data value development, urgent need to enhance technical strength, and enterprise enthusiasm to be improved. In order to deeply implement the national innovation and development strategy of big data, digital economy and industrial Internet, promote the deep integration of the Internet, big data, artificial intelligence and manufacturing, promote the transformation of industrial economy to a data-driven innovation system and development model, and promote the high-quality development of the manufacturing industry, the following opinions are put forward.
First, the general idea
(1) Guiding ideology
Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, fully implement the spirit of the 19th Party Congress and the Second and Third Plenary Sessions of the 19th CPC Central Committee, firmly establish a new development concept, promote the convergence and sharing of industrial big data, deepen the integration and application of industrial big data, improve the industrial support capacity of big data technology, enhance the security of industrial big data in accordance with the requirements of high-quality development, create an industrial big data ecosystem with resource enrichment, prosperous application, industrial progress and orderly governance, and promote the comprehensive and deep integration of big data and manufacturing. Empower high-quality industrial development.
(2) Basic principles
Cluster sharing. Adhere to the enterprise as the main body, multi-party collaboration to promote industrial big data collection, aggregation, circulation and sharing, build an industrial big data resource system with strong data management capabilities, high data aggregation quality, and sufficient circulation and sharing, and lay a solid foundation for expanding and digging deep into the value of data.
Fusion traction. Adhere to demand-oriented, promote the integration and application of big data in the whole process of enterprise R&D and design, manufacturing, operation and management, sales and service, accelerate the cultivation of new models and formats of data-driven industrial development, and provide a new path for the deep integration of industrialization and industrialization and the innovation and development of the industrial Internet.
Driven by innovation. Adhere to promoting the two-way integration of the innovation chain industry chain, take the promotion of key common technological innovation as the breakthrough, create a sound big data software and hardware product system, cultivate a complete industrial ecology, and lead the development and growth of the big data industry.
Safe and orderly. Adhere to safety to ensure development and promote safety with development, improve the security protection system with multi-party participation and clear rights and responsibilities, strengthen overall management and coordination and supervision, comprehensively improve the security and reliability of industrial big data, and promote the rational and orderly development and utilization of industrial big data.
(3) Development goals
By 2025, the industrial big data resource system, integration system, industrial system and governance system will be basically completed, forming a closed-loop development pattern from data aggregation and sharing, data technology products, data fusion applications to data governance, and the value potential of industrial big data will be greatly stimulated, becoming a key element and innovation engine to support the high-quality development of industry.
——Efficient aggregation of data resources. Industrial data realizes large-scale and in-depth integration, aggregation and interoperability and sharing, scientific, complete and feasible data sharing and circulation mechanism is basically established, industrial big data management system is fully promoted in all regions of the country and key industries, and a national basic industrial data resource platform such as the national industrial Internet big data center and the manufacturing power industry basic big data platform is built.
——Converged applications prosper. Industrial big data is widely used in the whole process and life cycle, the algorithm library, knowledge base, model library, parameter database, expert database and other industrial big data analysis tool libraries are basically completed, the data application support system of the industrial Internet platform is gradually mature, providing convenient, high-quality and low-cost data services for the majority of small and medium-sized enterprises, cultivating 3-5 industrial big data solution providers that have reached the international advanced level, and the data-driven new model and new format are fully developed.
-- The strength of the technology industry has been enhanced. Big data collection, storage, management, analysis and application technologies are in the leading position in the world, forming a number of advanced technology and big data software and hardware products that can meet the needs of major applications, data service enterprises prosper, solid industrial support foundation, and create a number of national new industrialization industry demonstration bases that promote the development of industrial big data agglomeration.
– The governance system is strongly guaranteed. The industrial big data standard system has been continuously improved, the industrial big data security guarantee system has been basically completed, the industrial big data security technology has reached the international advanced level, and the industrial big data classification and hierarchical management system has been fully completed and accelerated.