According to the official Wechat of the National Data Administration, recently, the National Data Administration, together with the Central Cyberspace 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 Commission, the Ministry of Emergency Management, the People's Bank of China, the General Administration of Financial Supervision, the State Health Insurance Administration, the Chinese Academy of Sciences, the China Meteorological Administration, the National Cutural Heritage Administration, the State Administration of Traditional Chinese Medicine and other departments, jointly issued the Three Year Action Plan of "Data Elements ×" (2024-2026).
The Action Plan focuses on promoting the high-level application of data elements, focusing on promoting the collaborative optimization, reuse and efficiency enhancement, and integration and innovation of data elements, strengthening the traction of scenario demand, driving the high-quality supply, compliance and efficient circulation of data elements, cultivating new industries, new models, and new drivers, fully realizing the value of data elements, and providing strong support for promoting high-quality development and promoting Chinese path to modernization. The Action Plan emphasizes four basic principles: adhering to demand driven, focusing on practical results, piloting first, breakthroughs in key areas, effective market, proactive government, openness and integration, and safety and order. It clarifies the work objectives by the end of 2026.
The Action Plan selects 12 industries and fields, including industrial manufacturing, modern agriculture, commercial circulation, transportation, financial services, technological innovation, cultural tourism, medical health, emergency management, meteorological services, urban governance, and green low-carbon, to promote the multiplier effect of data elements and unleash their value. The Action Plan aims to strengthen support and assurance from three aspects: improving the level of data supply, optimizing the data circulation environment, and enhancing data security.
Next, the National Data Administration will work with relevant departments to strengthen organizational leadership, carry out pilot work, promote competition for use, strengthen financial support, enhance publicity and promotion, and ensure that all work is implemented effectively.
Plan Full Text
Three Year Action Plan for "Data Elements X"
(2024-2026)
The amplification, superposition, and multiplication of data elements, and the construction of a digital economy with data as the key element, are inevitable requirements for promoting high-quality development. 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 Data Infrastructure System to Better Play the Role of Data Elements", fully leverage the multiplier effect of data elements, and empower economic and social development, this action plan is formulated.
Activate the potential of data elements
With the deepening development of a new round of technological revolution and industrial transformation, the value of data as a key production factor is increasingly prominent. By leveraging the increasing returns and low-cost reuse of data elements, we can optimize resource allocation, empower the real economy, develop new quality productive forces, and promote profound changes in production, life, economic development, and social governance. This is of great significance for promoting high-quality development.
In recent years, China's digital economy has developed rapidly, and the scale and level of digital infrastructure have significantly increased. The digital technology and industrial system have become increasingly mature, laying a solid foundation for better leveraging the role of data elements. At the same time, there are also problems such as low data supply quality, poor circulation mechanism, and insufficient release of application potential. The implementation of the "Data Element X" action aims to leverage the multiple advantages of China's super large market, massive data resources, and rich application scenarios, promote the synergy of data elements with labor, capital, and other elements, and use data flow to lead technology flow, capital flow, talent flow, and material flow, break through the constraints of traditional resource elements, and improve total factor productivity; Promote the multi scenario application and multi subject reuse of data, cultivate new products and services based on data elements, achieve knowledge diffusion and value doubling, and open up new spaces for economic growth; Accelerate the integration of diverse data, expand data scale and enrich data types, promote innovation and upgrading of production tools, stimulate new industries and models, and cultivate new driving forces for economic development.
Overall requirements
（1） Guiding ideology
（2） Basic principles
Demand driven, focus on effectiveness. Focus on key industries and fields, explore typical application scenarios of data elements, cultivate data merchants, prosper the data industry ecosystem, and encourage various entities to actively participate in the development and utilization of data elements.
Pilot first, focus on breakthroughs. Strengthen pilot work and explore diversified and sustainable pathways for releasing the value of data elements. Promote breakthroughs in fields with abundant data resources, strong driving force, and broad prospects, and play a leading role.
An efficient market has a government. Fully leverage the role of market mechanisms, strengthen the dominant position of enterprises, and promote effective allocation of data resources. Better leverage the role of the government, expand the supply of public data resources, maintain fairness and justice, and create a favorable development environment.
Open integration, safe and orderly. Promote high-level opening-up in the field of digital economy, strengthen international exchanges and mutual learning, and promote orderly cross-border flow of data. Persist in integrating security throughout the entire process of creating and realizing the value of data elements, and strictly adhere to the bottom line of data security.
（3） Overall objective
By the end of 2026, the breadth and depth of data element applications will be significantly expanded, and the multiplier effect of data elements in the field of economic development will be demonstrated. More than 300 typical application scenarios with strong demonstration, high display, and wide driving force will be created, and a number of effective data element application demonstration areas will emerge. A group of data merchants and third-party professional service institutions with strong innovation ability and good growth potential will be cultivated, forming a relatively complete data industry ecosystem. The quality and efficiency of data products and services will be significantly improved, and the average annual growth rate of the data industry will exceed 20%. On exchange transactions and off exchange transactions will be coordinated and developed, and the scale of data transactions will double, promoting the value creation of data elements as a new driving force for economic growth. The role of data in empowering the economy to improve quality and efficiency will be more prominent, becoming an important factor for high-quality development. Driving force.
Key actions
（4） Data elements x industrial manufacturing
Innovative R&D model, supporting industrial manufacturing enterprises to integrate design, simulation, and experimental verification data, cultivating new data-driven product R&D models, and enhancing enterprise innovation capabilities. Promote collaborative manufacturing, advance the construction of product master data standard ecosystem, support chain owners to connect upstream and downstream design, planning, quality, logistics and other data in the supply chain, and achieve agile and flexible collaborative manufacturing. Enhance service capabilities, support enterprises in integrating design, production, and operational data, improve predictive maintenance and value-added services capabilities, and achieve value chain extension. Strengthen regional linkage, support the circulation of production capacity, procurement, inventory, and logistics data, enhance the coordination of manufacturing resources between regions, promote complementary advantages of regional industries, and improve the monitoring and early warning capabilities of industrial and supply chains. Develop enabling technologies to promote multi scenario reuse of manufacturing data, support manufacturing enterprises to collaborate with software companies, actively explore multi-dimensional innovative applications based on design, simulation, experimentation, production, operation, and other data, and develop new industrial software and equipment in areas such as generative design, virtual real integration testing, and intelligent unmanned equipment.
（5） Data elements x modern agriculture
Enhance the level of digitalization in agricultural production, support agricultural production and operation entities and related service enterprises to integrate remote sensing, meteorology, soil, agricultural operations, disasters, crop pests and diseases, animal diseases, markets and other data, accelerate the creation of agricultural production digitalization scenarios supported by data and models, realize smart agricultural operation methods such as precision planting, precision breeding, and precision fishing, and support the improvement of production efficiency of grain and important agricultural products. Improve the traceability management capability of agricultural products, support third-party entities to gather and utilize data on the origin, production, processing, quality inspection, etc. of agricultural products, support agricultural product traceability management, precision marketing, etc., and enhance consumer trust. Promote the integration and innovation of industrial chain data, support third-party entities to provide intelligent planting and breeding, intelligent fishing, production and sales docking, disease prevention and control, market information, cross regional operations and other services to agricultural production and operation entities, connect production, sales, processing and other data, and provide one-stop procurement, supply chain finance and other services. Cultivate a new model of customized production based on demand, support the integration and analysis of agricultural and commercial circulation data, encourage e-commerce platforms, agricultural product wholesale markets, supermarkets, logistics enterprises, etc. to provide feedback on agricultural product information to the production, processing, and consumption ends based on sales data analysis, and enhance the matching ability of agricultural product supply and demand. Enhance the risk resistance capability of agricultural production, support the integration, analysis, release, and application of data on production capacity, transportation, processing, trade, consumption, etc. in the fields of grain, pigs, fruits and vegetables, strengthen agricultural monitoring and early warning, and provide support for responding to the impact of natural disasters, disease transmission, price fluctuations, and other factors.
（6） Data elements x commercial circulation
Expand new consumption, encourage e-commerce platforms to deeply integrate with various commercial entities and related service enterprises, rely on market environment data such as customer flow, consumption behavior, traffic conditions, and cultural characteristics, create a closed-loop consumption ecology that integrates data collection, analysis, decision-making, accurate push, and dynamic feedback, promote innovative development of live streaming e-commerce, instant e-commerce and other formats, support innovative application scenarios in various business districts, and cultivate digital lifestyle consumption patterns. Cultivate new business models, support e-commerce enterprises, national e-commerce demonstration bases, and traditional commercial circulation enterprises to strengthen data integration, integrate order demand, logistics, production capacity, supply chain and other data, optimize the allocation of industrial chain resources, and create an industrial collaborative innovation ecosystem that quickly responds to the market. Building new brands, supporting e-commerce and commercial enterprises to actively connect with production enterprises and industrial clusters based on data such as order quantity, order type, and population distribution, strengthening production and sales coordination, precise promotion, and helping to create distinctive brands. Promote internationalization, encourage e-commerce enterprises, modern circulation enterprises, and digital trade leading enterprises to integrate transaction, logistics, and payment data under the premise of security and compliance, and support the improvement of comprehensive supply chain services, cross-border identity authentication, global supply chain financing, and other capabilities.
（7） Data element x Transportation
Enhance the efficiency of multimodal transport, promote the sharing and mutual recognition of freight delivery data, waybill data, settlement data, insurance data, freight tracking data, etc., and achieve the shipper's one-time commission, one-time cost settlement, one-time cargo insurance, and full responsibility of multimodal transport operators. Promote the facilitation of shipping trade, promote the reliable integration and application of shipping trade data with electronic invoice verification, business entity identity verification, customs declaration and inspection status data, and accelerate the promotion of business applications such as electronic bills of lading, letters of credit, and electronic cargo release. Enhance shipping service capabilities, support the integration of ocean geographic space, satellite remote sensing, positioning and navigation, meteorological data, and ship navigation position, water area, speed, loading and unloading operation data, innovate applications such as collision prevention for commercial fishing vessels, shipping route planning, and intelligent port security checks. Explore the value of data reuse, integrate key vehicle data such as "two customers, one danger" and online freight, and construct high-quality dynamic datasets covering vehicle operation behavior, accident statistics, etc., to provide data support for differentiated credit, insurance services, second-hand car consumption, etc. Support leading transportation enterprises to promote the construction and reuse of high-quality datasets, strengthen the application of artificial intelligence tools, and help enterprises improve transportation efficiency. Promote the innovative development of intelligent connected vehicles, support the pilot commercial trial operation of autonomous vehicle in specific regions and periods of time, break through the data barriers between vehicle enterprises, third-party platforms, transportation enterprises and other entities, promote the integration and application of multi-source data such as road infrastructure data, traffic flow data, driving behavior data, and improve the level of intelligent vehicle innovation services, active safety prevention and control, etc.
（8） Data elements x financial services
Improve the level of financial services, support financial institutions to integrate and utilize data from technology, environmental protection, industry and commerce, taxation, meteorology, consumption, healthcare, social security, agriculture and rural areas, water and electricity, strengthen subject identification, optimize credit business management and insurance product design and underwriting and compensation services in accordance with laws and regulations, and enhance the level of financial services for the real economy. Enhance the financial risk resistance capability, promote the development of digital finance, promote the sharing, efficient circulation of financial credit data, public credit data, and commercial credit data under the premise of legal security 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, leverage the driving role of financial technology and data elements, support the enhancement of anti fraud and anti money laundering capabilities of financial institutions, and improve the level of risk warning and prevention.
（9） Data elements x technological innovation
Promote the orderly open sharing of scientific data, facilitate the interconnection and intercommunication of various scientific data generated by major scientific and technological infrastructure, 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 scenario applications based on platforms such as the National Science Data Center. Using scientific data to support cutting-edge research, providing high-quality scientific data resources and knowledge services for basic disciplines, and driving scientific innovation and discovery. Supporting technological innovation with scientific data, focusing on fields such as biological breeding, new material creation, and drug research and development, and accelerating technological innovation and industrial upgrading through the integration of data and intelligence. Support the development of big models with scientific data, deeply explore various scientific data and scientific literature, build a scientific knowledge resource base through fine-grained knowledge extraction and multi-source knowledge fusion, construct high-quality corpora and basic scientific datasets, and support the development and training of artificial intelligence big models. Explore new paradigms in scientific research, fully rely on various databases and knowledge bases, promote interdisciplinary and cross domain collaborative innovation, discover new laws driven by data, create new knowledge, and accelerate the transformation of scientific research paradigms.
（10） Data elements x cultural tourism
Cultivate new cultural and creative products, promote the lawful opening, sharing, and trading of data resources such as cultural relics, ancient books, art, opera genres, intangible cultural heritage, and ethnic and folk literature and art, support business entities in cultural and creative, tourism, exhibition, and other fields to strengthen data development and utilization, and cultivate products and brands with Chinese cultural characteristics. Explore the value of cultural data, connect various cultural institution data centers, link them to form a Chinese cultural database, and encourage the development of cultural models based on market-oriented mechanisms. Enhance the level of cultural relic protection and utilization, promote the integration and sharing of cultural relic disease data, protection and restoration data, safety supervision data, and cultural relic circulation data, and support the realization of functions such as cultural relic 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, transportation and other data, build customer group portraits, city portraits, etc. under the premise of legality and compliance, optimize tourism supporting services and one-stop travel services. Enhance tourism governance capabilities, support cultural and tourism venues to share public security, transportation, meteorological, license and other data, support "certificate free" ticket purchases, gather crowd monitoring and early warning, emergency rescue, etc.
（11） Data Elements x Medical Health
Improve the convenience of medical treatment for the public, explore and promote the sharing of electronic medical record data, and promote the standardization and mutual recognition of examination and testing result data standards among medical institutions. Convenient medical claims settlement, supporting medical institutions to conduct medical treatment first and pay later based on credit data. Promote convenient medical insurance services for the public. Explore and promote the integration and application of medical insurance and commercial health insurance data in accordance with 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 and medical data, improve personal health data archives, integrate physical examination, medical treatment, disease control and other data, innovate data-driven public service models such as occupational disease monitoring and public health event warning. Strengthen the integration and innovation of medical data, support public medical institutions to share data with financial, elderly care and other business entities under the premise of legality and compliance, support the precise design of commercial insurance products, recuperation and other service products, and expand new models and formats of data applications such as smart healthcare and intelligent health management. Enhance the development level of traditional Chinese medicine, strengthen the integration of multi-source data throughout the entire process of traditional Chinese medicine prevention, treatment, rehabilitation and other health services, support the systematic analysis of traditional Chinese medicine efficacy, drug interactions, indications, safety and other aspects, and promote the high-quality development of traditional Chinese medicine.
（12） Data elements x Emergency management
Enhance the ability of safety production supervision, explore the use of data such as electricity, communication, remote sensing, fire protection, etc., to achieve precise supervision of private mining and illegal mining, open stop and hidden opening behaviors of high-risk industry enterprises, and intelligent monitoring of urban fires. Encourage social insurance companies to focus on high-risk industries such as mining and hazardous chemicals, research and establish safety production liability insurance evaluation models, develop new types of insurance, and improve the accuracy and scientificity of risk assessment. Enhance the monitoring and evaluation capabilities of natural disasters, utilize public data such as iron towers, electricity, and meteorology to develop monitoring and evaluation models for natural disaster situations, and strengthen the ability to accurately predict and assess disaster risks. Strengthen the fusion analysis of monitoring data on seismic activity, crustal deformation, underground fluids, etc., and improve the level of earthquake prediction and early warning. Enhance emergency coordination and sharing capabilities, promote cross regional sharing and utilization of data on disasters, accidents, materials and equipment, special operation personnel, safety production and operation licenses, etc., and improve the efficiency of collaborative linkage between regulatory law enforcement and rescue and disposal.
（13） Data elements x meteorological services
Reduce the impact of extreme weather and climate events, support the integration and application of economic and social, ecological environment, natural resources, agriculture and rural data with meteorological data, realize a new intelligent decision-making model that integrates climate change risk identification, risk assessment, risk warning, and risk transfer, and prevent and resolve climate risks in key industries and sectors. Support the deep integration of meteorological data with urban planning, major engineering and other construction data, to prevent and mitigate the impact of extreme weather and adverse weather conditions on planning and engineering from the source. Innovate meteorological data product services, support financial enterprises to integrate and apply meteorological data, develop new products such as weather index insurance, weather derivatives, and climate investment and financing, and provide support for insurance, futures, etc. Support new energy enterprises to reduce costs and increase efficiency, support wind and solar energy enterprises to integrate meteorological data, optimize site selection layout, equipment operation and maintenance, energy scheduling, etc.
（14） Data elements x urban governance
Optimize urban management methods, promote the integration of multidimensional data such as people, land, affairs, things, situations, and organizations in cities, support the application of various fields such as public health, traffic management, public safety, ecological environment, grassroots governance, sports events, etc., achieve real-time situational awareness, intelligent risk assessment, and timely collaborative disposal. Support scientific decision-making for urban development, support the use of urban spatial and temporal foundations, resource surveys, planning and control, engineering construction projects, IoT perception and other data to assist in the refinement and intelligence of urban planning, construction, management, services and other strategies. Promote the popularization of public services, deepen the sharing and application of public data, and promote the "fingertip", "online", and "nearby" services for employment, social security, health, hygiene, medical care, assistance, elderly care, disability assistance, childcare, and other services. Strengthen regional collaborative governance, promote data integration and business collaboration in urban agglomerations, and achieve cross city handling of service matters such as business entity registration, remote medical settlement, and mutual transfer of pension insurance.
（15） Data elements x green and low-carbon
Enhance the level of refinement in ecological environment governance, promote the integration and application of meteorological, water conservancy, transportation, electricity and other data, support the coupling of meteorological and hydrological forecasting, disaster analysis, river and lake shoreline monitoring, emergency response to sudden water incidents, response to heavy pollution weather, and refined management of urban water environment. Strengthen the integration and innovation of public data on ecological environment, support enterprises to integrate their own data and public data on ecological environment, optimize environmental risk assessment, support the design of environmental pollution liability insurance and green credit services. Improve energy utilization efficiency, promote the integration and innovation of manufacturing and energy data, facilitate the connection of order, production scheduling, electricity consumption and other data between energy enterprises and high energy consuming enterprises, support energy consumption prediction, multi energy complementarity, gradient pricing and other applications. Improve the efficiency of waste resource utilization, gather data from various links such as solid waste collection, transfer, utilization, and disposal, promote efficient connection between waste production, transportation, and resource utilization, and promote the resource utilization of solid waste and hazardous waste. Improve the level of carbon emission management, support the integration of carbon emission data for materials, auxiliary materials, energy, and industry carbon footprint data throughout the entire production cycle of key products, carry out product carbon footprint measurement and evaluation, and guide enterprises to save energy and reduce carbon emissions.
Strengthen guarantee and support
（16） Improve the level of data supply
Improve the data resource system, promote the construction of industry common data resource libraries by research institutions, leading enterprises, etc. in the fields of scientific research, culture, transportation, etc., and create high-quality artificial intelligence large model training datasets. Increase the supply of public data resources, organize public data authorization operations in key areas and relevant regions, and explore a collaborative public data authorization mechanism between departments and provinces. Guide enterprises to open up data, encourage market forces to explore the value of commercial data, and support innovative applications of social data integration. Establish a sound standard system, strengthen the construction of standards such as data collection and management, and collaborate to promote the development of industry standards. Strengthen supply incentives, formulate and improve rules for protecting the rights and interests of different stakeholders involved in data content collection, processing, circulation, and application, and promote the rational use of personal information while protecting personal privacy.
（17） Optimize the data circulation environment
Improve transaction circulation efficiency, support industry enterprises to jointly formulate data circulation rules and standards, focus on business needs to promote compliant data circulation, and improve data application efficiency among multiple parties. Encourage trading venues to strengthen compliance management, innovate service models, create service ecosystems, and improve service quality. Create a secure and trustworthy circulation environment, deepen the application of technologies such as data space, privacy computing, federated learning, blockchain, and data sandboxes, explore the construction of data circulation platforms for key industries and fields, enhance the trustworthy, controllable, and measurable capabilities of data utilization, and promote the efficient and compliant circulation and use of data. Cultivate circulation service entities, encourage local governments to adapt to local conditions, build data characteristic parks and virtual parks through new construction or expansion of existing park functions, and promote the coordinated development of data vendors, third-party professional service institutions, and other means. Improve support measures for cultivating data vendors. Promote orderly cross-border flow of data, benchmark international high standard economic and trade rules, continuously optimize regulatory measures for cross-border flow of data, and support exploration in free trade pilot zones.
（18） Strengthen data security protection
Implement data security regulations and systems, improve data classification and grading protection systems, implement network security level protection, critical information infrastructure security protection and other systems, strengthen personal information protection, and enhance the level of data security protection. 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 the level of data security.
Organize and implement well
（19） Strengthen organizational leadership
Give full play to the role of the inter ministerial joint conference system for the development of the digital economy, strengthen the tracking of key work and task implementation, and coordinate and promote cross departmental cooperation. Industry regulatory authorities should focus on the data development and utilization needs of key industries, and refine measures to implement action plans. Local data management departments should work with relevant departments to study and develop implementation plans, form practical data element applications that are tailored to local conditions, promote the cultivation of a group of data vendors and third-party professional service institutions, and create a good ecosystem.
（20） Carry out pilot work
Support departments and localities to collaborate on policy based pilot projects, focusing on key industries and fields, and combining scenario needs to study the implementation measures for the allocation of data resource ownership rights, data processing and usage rights, data product management rights, etc., and explore data circulation and transaction models. Encourage all regions to boldly explore, take the lead in experimentation, strengthen model innovation, and timely summarize replicable and promotable practical experiences. Promote enterprises to process data resources in accordance with the national unified accounting system.
（21） Promote competition to drive utilization
Organize the "Data Element X" competition, focus on key industries and fields to build professional competition platforms, strengthen the supply of data resources, encourage all sectors of society to jointly explore market demand, and improve the level of data utilization. Support various enterprises to participate in competitions, strengthen the transformation of competition results, incubate new technologies and products, cultivate new models and formats, and improve the data element ecology.
（22） Strengthen financial support
Implement the "Data Element X" pilot project, coordinate the use of central budget investment and other types of funds to increase support. Encourage financial institutions to increase credit support and optimize financial services in accordance with market-oriented principles. Explore diversified investment and financing models in accordance with laws and regulations, leverage the role of relevant guidance funds and industry funds, and guide and encourage various types of social capital to invest in the data industry. Support data providers to go public for financing.
（23） Strengthen publicity and promotion
Conduct selection of typical cases of data element application and select a batch of typical applications. Based on the Digital China Construction Summit and various data element related conferences, forums, and activities, actively release typical cases, promote experience sharing and exchange cooperation. Local data management departments should deeply explore good experiences and practices in the application of data elements, make full use of various news media, increase publicity efforts, and enhance influence.
Source: National Data Agency
∷
湖南智能-MSN
湖南智能-Skype
湖南智能-阿里