CCTV News:According to the WeChat official account news of the National Data Bureau, in order to thoroughly implement the spirit of the 20th Party Congress and the Central Economic Work Conference, give full play to the multiplier effect of data elements, and empower economic and social development, the National Data Bureau recently joined the Central Network Information Office, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, the Ministry of Transport, the Ministry of Agriculture and Rural Affairs, the Ministry of Commerce, the Ministry of Culture and Tourism, the National Health and Wellness Commission, the Emergency Management Department, the People’s Bank of China, the General Administration of Financial Supervision, the National Medical Insurance Bureau, the China Academy of Sciences, and China 2026) (Guo Shu Policy [2023] No.11, hereinafter referred to as the Action Plan).
The Action Plan focuses on promoting the high-level application of data elements, focusing on promoting the collaborative optimization, reuse and efficiency improvement of data elements, and bringing into play the role of integration and innovation, strengthening the demand traction of scenarios, driving the high-quality supply, compliance and efficient circulation of data elements, cultivating new industries, new models and new kinetic energy, fully realizing the value of data elements, and providing strong support for promoting high-quality development and promoting Chinese modernization. The Action Plan emphasizes four basic principles: demand-driven, pragmatic, pilot first, key breakthrough, effective market, promising government, open integration, safety and order, and defines the work target by the end of 2026.
The Action Plan selects 12 industries and fields, including industrial manufacturing, modern agriculture, commerce and trade circulation, transportation, financial services, scientific and technological innovation, cultural tourism, medical and health care, emergency management, meteorological services, urban governance and green low carbon, to promote the multiplier effect of data elements and release the value of data elements. The Action Plan strengthens the support from three aspects: improving data supply level, optimizing data circulation environment and strengthening data security.
In the next step, the National Bureau of Data will work with relevant departments to strengthen organizational leadership, carry out pilot work, promote competition to promote use, strengthen financial support, strengthen publicity and promotion, and ensure that all work is implemented.
"Data Elements ×" Three-year Action Plan
（2024— 2026)
It is an inevitable requirement to promote high-quality development to give full play to the amplification, superposition and multiplication of data elements and build a digital economy with data as the key element. In order to thoroughly implement the spirit of the 20th National Congress of the Communist Party of China and the Central Economic Work Conference, implement the Opinions of the Central Committee of the Communist Party of China and the State Council on Building a Basic Data System to Give Full Play to the Role of Data Elements, give full play to the multiplier effect of data elements, and empower economic and social development, this action plan is specially formulated.
First, activate the potential of data elements
With the further development of the new round of scientific and technological revolution and industrial transformation, the value of data as a key factor of production has become increasingly prominent. Giving full play to the characteristics of increasing returns and low-cost reuse of data elements can optimize resource allocation, empower the real economy, develop new quality productivity, and promote profound changes in production and life, economic development and social governance, which is of great significance to promoting high-quality development.
In recent years, China’s digital economy has developed rapidly, the scale and energy level of digital infrastructure have greatly jumped, and digital technology and industrial system have become increasingly mature, laying a solid foundation for better playing the role of data elements. At the same time, there are also problems such as low quality of data supply, poor circulation mechanism and insufficient release of application potential. The implementation of the "Data Factor X" action is to give full play to the multiple advantages of China’s super-large-scale market, massive data resources and rich application scenarios, promote the synergy between data factors and labor, capital and other factors, lead the technology flow, capital flow, talent flow and material flow with data flow, break through the constraints of traditional resource factors and improve the total factor productivity; Promote multi-scenario application and multi-agent reuse of data, cultivate new products and services based on data elements, realize knowledge diffusion and value multiplication, and open up new space for economic growth; Accelerate the integration of multiple data, expand data scale and enrich data types, promote the innovation and upgrading of production tools, give birth to new industries and models, and cultivate new kinetic energy for economic development.
Second, the overall requirements
(A) the guiding ideology
Guided by Socialism with Chinese characteristics Thought of the Supreme Leader in the New Era, thoroughly implement the spirit of the 20th Party Congress, implement the new development concept completely, accurately and comprehensively, give full play to the role of data as a basic resource and an innovation engine, follow the development law of digital economy, focus on promoting the high-level application of data elements, focus on promoting the collaborative optimization, reuse and synergy of data elements, and strengthen the traction of scene demand. Drive the high-quality supply, compliance and efficient circulation of data elements, cultivate new industries, new models and new kinetic energy, fully realize the value of data elements, and provide strong support for promoting high-quality development and promoting Chinese modernization.
(2) Basic principles
Demand traction, pay attention to practical results. Focus on key industries and fields, explore typical application scenarios of data elements, cultivate data quotient, prosper the ecology of data industry, and encourage all kinds of subjects to actively participate in the development and utilization of data elements.
Pilot first, key breakthrough. Strengthen the pilot work and explore diversified and sustainable ways to release the value of data elements. Promote the first breakthrough and play a leading role in areas with rich data resources, strong driving force and broad prospects.
Effective market, promising government. Give full play to the role of market mechanism, strengthen the dominant position of enterprises and promote the effective allocation of data resources. Give full play to the role of the government, expand the supply of public data resources, safeguard fairness and justice, and create a good development environment.
Open and integrated, safe and orderly. Promote the high-level opening up of the digital economy, strengthen international exchanges and mutual learning, and promote the orderly cross-border flow of data. Adhere to the security throughout the whole process of creating and realizing the value of data elements, and strictly abide by the bottom line of data security.
(III) Overall objectives
By the end of 2026, the breadth and depth of application of data elements will be greatly expanded, and the multiplier effect of data elements will be revealed in the field of economic development. More than 300 typical application scenarios with strong demonstration, high display and wide driving will be created, and a number of demonstration areas with obvious results will emerge, and a group of data vendors and third-party professional service organizations with strong innovation ability and good growth will be cultivated to form a relatively perfect data industry ecology. The quality and efficiency of data products and services have been significantly improved. The average annual growth rate of the data industry has exceeded 20%. On-exchange transactions and off-exchange transactions have developed in a coordinated manner, and the scale of data transactions has doubled. The new format that promotes the value creation of data elements has become a new driving force for economic growth, and the role of data empowerment in improving quality and efficiency has become more prominent, becoming an important driving force for high-quality development.
Iii. key actions
(4) Data elements × industrial manufacturing
Innovative research and development mode, support industrial manufacturing enterprises to integrate design, simulation and experimental verification data, cultivate new data-driven product research and development mode, and enhance the innovation ability of enterprises. Promote collaborative manufacturing, promote the construction of product master data standard ecosystem, support chain owners to open up upstream and downstream design, planning, quality, logistics and other data of supply chain, and realize agile and flexible collaborative manufacturing. Improve service capabilities, support enterprises to integrate design, production and operation data, improve predictive maintenance and value-added services, and extend the value chain. Strengthen regional linkage, support the circulation of production capacity, procurement, inventory and logistics data, strengthen the coordination of manufacturing resources between regions, promote the complementarity of regional industrial advantages, and enhance the monitoring and early warning capability of industrial chain supply chain. Develop enabling technology, promote multi-scene reuse of manufacturing data, support manufacturing enterprises to join software enterprises, actively explore multi-dimensional innovative applications based on data such as design, simulation, experiment, production and operation, and develop new industrial software and equipment in terms of creative design, virtual and real integration experiment and intelligent unmanned equipment.
(5) Data elements × modern agriculture
Improve the level of digital intelligence in agricultural production, support agricultural production and operation entities and related service enterprises to integrate and utilize remote sensing, meteorology, soil, agricultural operations, disasters, crop diseases and insect pests, animal diseases, markets and other data, accelerate the creation of digital intelligence scenarios in agricultural production supported by data and models, and realize precision planting, precision breeding, precision fishing and other intelligent agricultural operations, and support the improvement of production efficiency of grain and important agricultural products. Improve the traceability management ability of agricultural products, support third-party entities to gather and use data such as the origin, production, processing and quality inspection of agricultural products, support traceability management and precision marketing of agricultural products, and enhance consumer trust. Promote the innovation of industrial chain data integration, support third-party entities to provide services such as intelligent breeding, intelligent fishing, production and marketing docking, disease prevention and control, market information, cross-regional operation, etc. for agricultural production and operation entities, open up data such as production, sales and processing, and provide one-stop procurement and supply chain finance services. Cultivate a new model of demand-based production, support the integration analysis and application of agricultural and commercial circulation data, and encourage e-commerce platforms, agricultural products wholesale markets, supermarkets and logistics enterprises to feed back agricultural products information to agricultural products producers, processors and consumers based on sales data analysis, so as to improve the matching ability between supply and demand of agricultural products. Improve the anti-risk ability of agricultural production, support the integration, analysis, release and application of data on production capacity, transportation, processing, trade and consumption in the fields of grain, pigs, fruits and vegetables, strengthen agricultural monitoring and early warning, and provide support for coping with natural disasters, epidemic spread and price fluctuations.
(6) Data elements × trade circulation
Expand new consumption, encourage the deep integration of e-commerce platform with various business entities and related service enterprises, build a closed-loop consumption ecology integrating data collection, analysis, decision-making, accurate push and dynamic feedback based on market environment data such as passenger flow, consumption behavior, traffic conditions and human characteristics, promote the innovative development of live e-commerce, instant e-commerce and other formats, support innovative application scenarios in various business circles, and cultivate consumption patterns of digital life. Cultivate new formats, support e-commerce enterprises, national e-commerce demonstration bases, and traditional business circulation enterprises to strengthen data integration, integrate data such as order demand, logistics, production capacity, and supply chain, optimize the allocation of industrial chain resources, and create an industrial collaborative innovation ecosystem that responds quickly to the market. Create new brands, support e-commerce enterprises and commercial enterprises to actively connect production enterprises and industrial clusters based on data such as order quantity, order type and population distribution, strengthen production and marketing docking and accurate push, and help to create distinctive brands. Promote internationalization, encourage e-commerce enterprises, modern circulation enterprises and leading digital trade enterprises to integrate transaction, logistics and payment data under the premise of safety compliance, and support the improvement of supply chain integrated services, cross-border identity authentication, global supply chain financing and other capabilities.
(7) Data elements × transportation
Improve the efficiency of multimodal transport, promote the sharing and mutual recognition of freight forwarding data, waybill data, settlement data, insurance data and freight tracking data, and realize the shipper’s one-time entrustment, one-time settlement of expenses, one-time insurance of goods and the multimodal transport operator’s full responsibility. Promote the facilitation of shipping trade, promote the credible and integrated application of shipping trade data and electronic invoice verification, business entity identity verification, customs declaration and inspection status data, and accelerate the promotion of electronic bills of lading, letters of credit, electronic delivery and other business applications. Improve the shipping service capacity, support the integration of data such as marine geo-space, satellite remote sensing, positioning navigation and meteorology with the data of ship navigation position, water area, speed and loading and unloading operation, and innovate the applications such as anti-collision of commercial fishing vessels, shipping route planning and port intelligent security inspection. Excavate the value of data reuse, integrate key vehicle data such as "two passengers and one danger" and online freight, and build high-quality dynamic data sets covering vehicle operation behavior and accident statistics to provide data support for differentiated credit, insurance services and used car consumption. Support leading transportation enterprises to promote the construction and reuse of high-quality data sets, strengthen the application of artificial intelligence tools, and help enterprises improve transportation efficiency. Promote the innovative development of intelligent networked vehicles, support self-driving vehicles to carry out commercial trial operation pilots in specific areas and at specific time periods, break through data barriers between car companies, third-party platforms, transportation companies and other entities, promote the integration and application of multi-source data such as road infrastructure data, traffic flow data and driving behavior data, and improve the level of innovative services and active safety prevention and control of smart cars.
(VIII) Data Elements × Financial Services
Improve the level of financial services, support financial institutions to integrate and utilize data such as science and technology, environmental protection, industry and commerce, taxation, meteorology, consumption, medical care, social security, agriculture and rural areas, water and electricity, strengthen subject identification, optimize credit business management, insurance product design and underwriting claims services according to laws and regulations, and improve the level of financial services in the real economy. Improve financial risk resistance, promote the development of digital finance, promote the sharing and efficient circulation of financial credit data, public credit data and commercial credit data under the premise of legal safety and compliance, support the sharing of risk control data among financial institutions, integrate and analyze multidimensional data such as financial markets, credit assets and risk verification, give play to the driving role of financial technology and data elements, support and improve the anti-fraud and anti-money laundering capabilities of financial institutions, and improve the level of risk warning and prevention.
(9) Data elements × scientific and technological innovation
Promote the orderly and open sharing of scientific data, promote the interconnection of all kinds of scientific data generated by major scientific and technological infrastructure and major scientific and technological projects, support and cultivate the construction of scientific databases with international influence, and strengthen the construction of high-quality scientific data resources and scene applications based on platforms such as the National Scientific Data Center. With scientific data to help cutting-edge research, oriented to basic disciplines, provide high-quality scientific data resources and knowledge services, and drive scientific innovation and discovery. Support technological innovation with scientific data, focus on biological breeding, new material creation, drug research and development and other fields, and accelerate technological innovation and industrial upgrading with the integration of numbers and intelligence. Support large-scale model development with scientific data, dig deep into all kinds of scientific data and scientific literature, build a scientific knowledge resource base through fine-grained knowledge extraction and multi-source knowledge fusion, build a high-quality corpus and basic scientific data set, and support the development and training of artificial intelligence large models. Explore new paradigms of scientific research, fully rely on various databases and knowledge bases, promote interdisciplinary and interdisciplinary collaborative innovation, discover new laws and create new knowledge with data drive, and accelerate the transformation of scientific research paradigms.
(X) Data Elements Cultural Tourism
Cultivate new cultural and creative products, promote the open sharing and trading of data resources such as cultural relics, ancient books, fine arts, operas, intangible cultural heritage and national folk literature and art according to law, support business entities in the fields of cultural creativity, tourism and exhibition to strengthen data development and utilization, and cultivate products and brands with China cultural characteristics. Excavate the value of cultural data, connect the data centers of various cultural institutions, form a Chinese cultural database, and encourage the development of cultural models based on market-oriented mechanisms. Improve the level of protection and utilization of cultural relics, promote the integration and sharing of cultural relics disease data, protection and restoration data, safety supervision data and cultural relics circulation data, and support the realization of cultural relics protection and restoration, monitoring and early warning, precise management, emergency response, interpretation and dissemination. Improve the level of tourism services, support tourism operators to share meteorological, traffic and other data, build portraits of customers and cities under the premise of legal compliance, and optimize tourism supporting services and one-stop travel services. Improve the ability of tourism governance, support cultural and tourist sites to share public security, transportation, meteorology, licenses and other data, and support "certificate-free" ticket purchase, crowd monitoring and early warning, emergency rescue, etc.
(eleven) data elements × medical health
Improve the convenience of people seeking medical treatment, explore and promote the sharing of electronic medical record data, and promote the unification, sharing and mutual recognition of inspection results data standards among medical institutions. Convenient medical claims settlement, support medical institutions to carry out medical treatment first and then pay for medical treatment based on credit data. Promote medical insurance and convenient services. Explore and promote the integration and application of medical insurance and commercial health insurance data according to laws and regulations, improve the level of insurance services, and promote the coordinated development of basic medical insurance and commercial health insurance. Orderly release the value of health care data, improve personal health data files, integrate physical examination, medical treatment, disease control and other data, and innovate public service models such as data-driven occupational disease monitoring and public health event early warning. Strengthen the integration and innovation of medical data, support public medical institutions to share data with financial, pension and other business entities under the premise of legal compliance, support the accurate design of commercial insurance products, recuperation and other service products, and expand new data application modes and formats such as smart medical care and smart health management. Improve the development level of Chinese medicine, strengthen the multi-source data fusion of the whole process of health services such as prevention, treatment and rehabilitation of Chinese medicine, support the systematic analysis of curative effect, drug interaction, indications and safety of Chinese medicine, and promote the high-quality development of Chinese medicine.
(12) Data elements × emergency management
Improve the ability of safety production supervision, explore the use of power, communication, remote sensing, fire protection and other data, and realize the accurate supervision of enterprises in high-risk industries and the intelligent monitoring of urban fires. Encourage social insurance enterprises to study and establish an assessment model of safety production liability insurance around high-risk industries such as mines and dangerous chemicals, develop new types of insurance, and improve the accuracy and scientificity of risk assessment. Improve the ability of natural disaster monitoring and evaluation, use public data such as iron towers, electric power and meteorology to develop natural disaster monitoring and evaluation models, and strengthen the ability of accurate early warning and judgment of disaster risks. Strengthen the fusion analysis of monitoring data such as seismic activity, crustal deformation and underground fluid, and improve the level of earthquake prediction and early warning. Improve the ability of emergency coordination and sharing, promote cross-regional sharing of data such as disasters and accidents, materials and equipment, special operations personnel, and safety production and operation licenses, and improve the efficiency of collaborative linkage between supervision and law enforcement and rescue and disposal.
(13) Data elements × meteorological services
Reduce the impact of extreme weather and climate events, support the integration and application of economic, social, ecological environment, natural resources, agriculture and rural areas and meteorological data, realize a new intelligent decision-making model integrating climate change risk identification, risk assessment, risk early warning and risk transfer, and prevent and resolve climate risks in key industries and industries. Support the deep integration of meteorological data with construction data such as urban planning and major projects, and prevent and mitigate the impact of extreme weather and unfavorable meteorological conditions on planning and projects from the source. Innovate meteorological data products and services, support financial enterprises to integrate and apply meteorological data, develop weather index insurance, weather derivatives and new products for climate investment and financing, and provide support for insurance and futures. Support new energy enterprises to reduce costs and increase efficiency, support wind energy and solar energy enterprises to integrate meteorological data, and optimize site selection and layout, equipment operation and maintenance, and energy scheduling.
(14) Data Elements × Urban Governance
Optimize urban management methods, promote multi-dimensional data integration of people, places, things, things, feelings and organizations in cities, support scene applications in various fields such as public health, traffic management, public safety, ecological environment, grassroots governance and sports events, and realize real-time situational awareness, intelligent risk judgment and timely collaborative disposal. Support the scientific decision-making of urban development, support the use of urban time and space foundation, resource survey, planning control, engineering construction projects, Internet of Things perception and other data to help urban planning, construction, management, service and other strategies refined and intelligent. Promote the popularization of public services, deepen the sharing and application of public data, and further promote services such as employment, social security, health, sanitation, medical care, assistance, old-age care, disability assistance, and childcare. Strengthen regional collaborative governance, promote urban agglomeration data access and business collaboration, and realize cross-city communication of service matters such as registration of business entities, settlement of medical treatment in different places, and mutual transfer of endowment insurance.
(15) Data elements × green and low carbon
Improve the fine level of ecological environment management, promote the integrated application of meteorological, water conservancy, transportation, electric power and other data, and support meteorological and hydrological coupling forecasting, disaster analysis, river and lake shoreline monitoring, emergency response to sudden water events, heavy pollution weather response, and fine management of urban water environment. Strengthen the integration and innovation of ecological environment public data, support enterprises to integrate and apply their own data and ecological environment public data, optimize environmental risk assessment, and support the design of environmental pollution liability insurance and green credit services. Improve energy efficiency, promote the integration and innovation of manufacturing and energy data, promote energy enterprises and high-energy enterprises to get through data such as orders, production scheduling and electricity consumption, and support applications such as energy consumption forecasting, multi-energy complementarity and gradient pricing. Improve the utilization efficiency of waste resources, gather data of solid waste collection, transfer, utilization and disposal, promote the efficient connection of production, transportation and resource utilization, and promote the resource utilization of solid waste and hazardous waste. Improve the level of carbon emission management, support to get through the carbon emission data of materials, auxiliary materials, energy and other industries in the whole production cycle of key products, carry out the calculation and evaluation of product carbon footprint, and guide enterprises to save energy and reduce carbon.
Fourth, strengthen security support
(sixteen) improve the level of data supply.
Improve the data resource system, promote scientific research institutions, leading enterprises and other industries to build common data resource libraries in the fields of scientific research, culture, transportation and so on, and create high-quality artificial intelligence model training data sets. Increase the supply of public data resources, organize public data authorization operations in key areas and relevant regions, and explore public data authorization mechanisms coordinated by ministries and provinces. Guide enterprises to open data, encourage market forces to tap the value of commercial data, and support innovative applications of social data integration. Improve the standard system, strengthen the construction of standards such as data collection and management, and jointly promote the formulation of industry standards. Strengthen supply incentives, formulate and improve the rights and interests protection rules of relevant subjects in different links such as data content collection, processing, circulation and application, and promote the rational use of personal information on the premise of protecting personal privacy.
(seventeen) optimize the data circulation environment.
Improve transaction circulation efficiency, support enterprises in the industry to jointly formulate data circulation rules and standards, focus on business needs to promote data compliance circulation, and improve data application efficiency among multi-agents. Encourage trading venues to strengthen compliance management, innovate service models, create a service ecosystem, and improve service quality. Create a safe and credible circulation environment, deepen the application of technologies such as data space, privacy computing, federal learning, blockchain and data sandbox, explore the construction of data circulation platforms in key industries and fields, enhance the credibility, controllability and measurability of data utilization, and promote data compliance and efficient circulation. Cultivate the main body of circulation services, encourage local governments to adjust measures to local conditions, build data characteristic parks and virtual parks by building or expanding the functions of existing parks, and promote the coordinated development of data vendors and third-party professional service organizations. Improve the support measures for cultivating data vendors. Promote the orderly cross-border flow of data, benchmark international high-standard economic and trade rules, continuously optimize the regulatory measures for cross-border flow of data, and support the exploration of free trade pilot zones.
(eighteen) to strengthen data security.
Implement data security laws and regulations, improve the data classification and classification protection system, implement network security level protection, key information infrastructure security protection and other systems, strengthen personal information protection, and improve the level of data security. Enrich data security products, develop refined and professional data security products for key industries and fields, develop solutions and toolkits suitable for small and medium-sized enterprises, and support the development of customized and lightweight personal data security protection products. Cultivate data security services, encourage data security enterprises to carry out cloud-based security services, and effectively improve data security.
Fifth, do a good job in organizing implementation
(nineteen) to strengthen organizational leadership.
Give play to the role of the inter-ministerial joint conference system for the development of digital economy, strengthen the tracking of key tasks and the implementation of tasks, and coordinate and promote cross-departmental cooperation. Industry authorities should focus on the data development and utilization needs of key industries and refine the measures to implement the action plan. Local data management departments should work with relevant departments to study and formulate implementation plans, form practical application practices of data elements according to local conditions, promote the cultivation of a number of data vendors and third-party professional service organizations, and create a good ecology.
(twenty) to carry out pilot work.
Support departments and localities to carry out policy pilots in coordination, focus on key industries and fields, study the landing measures of data resource holding right, data processing right and data product management right in combination with the needs of the scene, and explore the data circulation transaction mode. Encourage all localities to explore boldly, try first, strengthen model innovation, and sum up practical experience that can be replicated and promoted in time. Promote enterprises to carry out accounting treatment of data resources according to the unified national accounting system.
(twenty-one) to promote the use of competition.
Organize the "Data Elements ×" competition, focus on key industries and fields to build a professional competition platform, strengthen the supply of data resources, encourage all sectors of society to jointly tap market demand and improve the level of data utilization. Support all kinds of enterprises to participate in the competition, strengthen the transformation of competition results, incubate new technologies and products, cultivate new models and formats, and improve the ecology of data elements.
(22) Strengthen financial support.
Implement the pilot project of "data elements ×", and make overall use of the investment in the central budget and other funds to increase support. Encourage financial institutions to increase credit support and optimize financial services in accordance with the principle of marketization. Explore diversified investment and financing modes according to laws and regulations, play the role of relevant guiding funds and industrial funds, and guide and encourage all kinds of social capital to invest in the data industry. Support data vendors to go public for financing.
(twenty-three) to strengthen publicity.
Carry out the selection of typical cases of data element application and select a number of typical applications. Relying on the Digital China Construction Summit and various meetings, forums and activities related to data elements, we will actively publish typical cases and promote experience sharing, exchanges and cooperation. Local data management departments should dig deep into the experience and good practices in the application of data elements, make full use of all kinds of news media, increase publicity and enhance their influence.
