The National Data Bureau and 17 other departments jointly issued a three-year action plan for the "× of Data Elements". full text

On January 4, the National Data Bureau, together with the Cyberspace Administration of the People's Republic of China, 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 State Administration of Financial Regulation, the National Health Insurance Administration, the Chinese Academy of Sciences, the China Meteorological Administration, the State Administration of Cultural Heritage, the State Administration of Traditional Chinese Medicine and other departments jointly issued the "Data Element ×" Three-Year Action Plan (2024-2026) (hereinafter referred to as the "Action Plan") ）。

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, emergency management, meteorological services, urban governance, and green and low-carbon, to promote the multiplier effect of data elements and release the value of data elements.

The goal is that by the end of 2026, the breadth and depth of the application of data elements will be greatly expanded, and the multiplier effect of data elements in the field of economic development will be revealed, creating more than 300 typical application scenarios with strong demonstration, high visibility and wide driving force. Data vendors and third-party professional service institutions with good growth potential have formed a relatively complete 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%, the coordinated development of on-exchange and over-the-counter transactions, the doubling of the scale of data transactions, and the new business format of promoting the value creation of data elements has become a new driving force for economic growth, and the role of data in empowering the economy in improving quality and efficiency has become more prominent, becoming an important driving force for high-quality development.

Support financial institutions to integrate and use 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 the identification of entities, optimize credit business management and insurance product design and underwriting and claims settlement services in accordance with laws and regulations, and improve the level of financial services for the real economy. Improve the ability of financial institutions to resist risks, promote the development of digital finance, promote the sharing, sharing and efficient circulation of financial credit data, public credit data, and commercial credit data under the premise of security and compliance in accordance with law, support the sharing of risk control data among financial institutions, integrate and analyze multi-dimensional data such as financial markets, credit assets, and risk verification, give play to the driving role of financial technology and data elements, support the improvement of financial institutions' anti-fraud and anti-money laundering capabilities, and improve the level of risk early warning and prevention.

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 innovation and development of intelligent networked vehicles, support the commercial trial operation of autonomous vehicles in specific areas and specific time periods, break down the 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 intelligent vehicle innovation services and active safety prevention and control.

Full text attached:

Three-year action plan for the × of data elements

(2024–2026)

It is an inevitable requirement to promote high-quality development to give full play to the amplification, superposition, and multiplication role of data elements, and build a digital economy with data as the key element. This action plan is formulated 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 Basic System to Better Play the Role of Data Elements", give full play to the multiplier effect of data elements, and empower economic and social development.

1. Activate the potential of data elements

With the in-depth development of a new round of scientific and technological revolution and industrial transformation, the value of data as a key factor of production has become increasingly prominent. It is of great significance to promote high-quality development by giving full play to the characteristics of increasing returns and low-cost reuse of data elements, which 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.

In recent years, the rapid development of the digital economy in mainland China has led to a significant jump in the scale and level of digital infrastructure, and the maturity of digital technology and industrial system, 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 element ×" action is to give full play to the multiple advantages of the mainland's super-large-scale market, massive data resources, and rich application scenarios, promote the coordination of data elements with labor, capital and other elements, and lead the flow of technology, capital, talent, and materials with data flow, break through the constraints of traditional resource elements, and improve total factor productivity; Accelerate the integration of multiple data, promote the innovation and upgrading of production tools with the expansion of data scale and rich data types, give birth to new industries and new models, and cultivate new momentum for economic development.

2. General requirements

(1) Guiding ideology

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, deeply implement the spirit of the 20th National Congress of the Communist Party of China, completely, accurately and comprehensively implement the new development concept, give full play to the role of data as a basic resource and innovation engine, follow the law of digital economy development, take promoting the high-level application of data elements as the main line, focus on promoting the collaborative optimization, reuse and efficiency of data elements, and play the role of integration and innovation, strengthen the traction of scene demand, drive the high-quality supply of data elements, comply with and efficient circulation, cultivate new industries, new models, New momentum, fully realize the value of data elements, and provide strong support for promoting high-quality development and promoting Chinese-style modernization.

(2) Basic principles

Demand-driven, pragmatic. Focus on key industries and fields, explore typical data element application scenarios, cultivate data vendors, prosper the data industry ecology, and encourage all kinds of entities to actively participate in the development and utilization of data elements.

Pilot first, key breakthroughs. Strengthen pilot work and explore diversified and sustainable ways to release the value of data elements. Promote breakthroughs in fields with abundant data resources, strong driving force, and broad prospects, and play a leading role.

Efficient market, promising government. Give full play to the role of market mechanisms, strengthen the dominant position of enterprises, and promote the effective allocation of data resources. Give better play to the role of the government, expand the supply of public data resources, safeguard fairness and justice, and create a positive environment for development.

Open and integrated, safe and orderly. Promote high-level opening-up in the field of digital economy, strengthen international exchanges and mutual learning, and promote the orderly cross-border flow of data. Adhere to security throughout the entire process of value creation and realization of data elements, and strictly abide by the bottom line of data security.

(3) Overall objectives

By the end of 2026, the breadth and depth of the application of data elements will be greatly expanded, the multiplier effect of data elements in the field of economic development will be revealed, and more than 300 typical application scenarios with strong demonstration, high visibility and wide driving force will be created, and a number of effective data element application demonstration areas will emerge, and a number of data vendors and third-party professional service institutions with strong innovation ability and good growth will be cultivated, forming a relatively complete data industry ecology, 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% The coordinated development of on-exchange and over-the-counter transactions, the doubling of the scale of data transactions, the promotion of new business formats for the value creation of data elements has become a new driving force for economic growth, and the role of data in empowering the economy in improving quality and efficiency has become more prominent, becoming an important driving force for high-quality development.

3. Key actions

(4) Data elements × industrial manufacturing

Innovate the R&D model, support industrial manufacturing enterprises to integrate design, simulation, and experimental verification data, cultivate a new model of data-driven product R&D, and enhance the innovation ability of enterprises. Promote collaborative manufacturing, promote the construction of product master data standard ecosystem, and support chain master enterprises to connect upstream and downstream data such as design, planning, quality, and logistics of the supply chain, so as to achieve 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 realize value chain extension. Strengthen regional linkage, support the circulation of production capacity, procurement, inventory, and logistics data, strengthen the coordination of manufacturing resources between regions, promote the complementary advantages of regional industries, and improve the monitoring and early warning capabilities of the industrial chain and supply chain. Develop enabling technologies, promote the multi-scenario reuse of manufacturing data, support manufacturing enterprises to cooperate with software enterprises, actively explore multi-dimensional innovative applications based on design, simulation, experiment, production, operation and other data, and develop new industrial software and equipment in generative design, virtual and real fusion experiments, 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 use remote sensing, meteorology, soil, agricultural operations, disasters, crop diseases and pests, animal diseases, markets and other data, accelerate the creation of digital and intelligent scenarios for agricultural production supported by data and models, realize smart agricultural operations 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 capacity of agricultural products, support third-party entities to gather and use data on 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 integration and innovation of industrial chain data, support third-party entities to provide services such as smart planting and breeding, smart fishing, production and marketing docking, epidemic prevention and control, market information, and cross-regional operations for agricultural production and operation entities, open up production, sales, processing and other data, and provide one-stop procurement, supply chain finance and other services. Cultivate a new model of demand-based production, support the integration and analysis of agricultural and commercial circulation data, and encourage e-commerce platforms, agricultural product wholesale markets, supermarkets, and logistics enterprises to feedback agricultural product information to the production, processing, and consumption of agricultural products based on sales data analysis, so as to improve the ability to match the supply and demand of agricultural products. Enhance the ability of agricultural production to resist risks, support the integration, analysis, release and application of data on production capacity, transportation, processing, trade, consumption and other fields in the fields of grain, pigs, fruits and vegetables, strengthen agricultural monitoring and early warning, and provide support for coping with the impact of natural disasters, epidemic spreads, and price fluctuations.

(6) Data elements × commercial circulation

Expand new consumption, encourage e-commerce platforms to deeply integrate with various commercial and trade entities and related service enterprises, rely on market environment data such as passenger flow, consumption behavior, traffic conditions, and human characteristics, to create a closed-loop consumption ecology that integrates data collection, analysis, decision-making, precise push, and dynamic feedback, promote the innovative development of live broadcast e-commerce, instant e-commerce and other business formats, support innovative application scenarios in various business districts, and cultivate digital life consumption methods. Cultivate new business formats, support e-commerce enterprises, national e-commerce demonstration bases, and traditional commercial and trade 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 ecology that responds quickly to the market. To build a new brand, support e-commerce enterprises and commercial enterprises to rely on data such as the number of orders, order types, and population distribution, actively connect with production enterprises and industrial clusters, strengthen production and marketing docking, and accurately push to help build distinctive brands. Promote internationalization, and under the premise of security and compliance, encourage e-commerce enterprises, modern circulation enterprises, and leading digital trade enterprises to integrate transaction, logistics, and payment data, and support the improvement of comprehensive supply chain 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 delivery data, waybill data, settlement data, insurance data, freight tracking data, etc., so as to realize the shipper's one-time entrustment, one-time settlement of expenses, one-time insurance of goods, and the full responsibility of multimodal transport operators. Promote the facilitation of shipping trade, promote the credible integration and application of shipping trade data and electronic invoice verification, identity verification of business entities, customs declaration and inspection status data, etc., and accelerate the promotion of electronic bills of lading, letters of credit, electronic release and other business applications. Improve shipping service capabilities, support the integration of marine geospatial, satellite remote sensing, positioning and navigation, meteorological and other data with ship navigation location, water area, speed, loading and unloading operation data, and innovate applications such as collision prevention of commercial fishing vessels, shipping route planning, and port smart security inspection. Mining the value of data reuse, integrating key vehicle data such as "two passengers and one danger", online freight, etc., and building high-quality dynamic data sets covering vehicle operation behavior and accident statistics, so as to provide data support for differentiated credit, insurance services, and second-hand car consumption. 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 innovation and development of intelligent networked vehicles, support the commercial trial operation of autonomous vehicles in specific areas and specific time periods, break down the 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 intelligent vehicle innovation services and active safety prevention and control.

(8) Data elements × financial services

Improve the level of financial services, support financial institutions to integrate and use 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 the identification of entities, optimize credit business management and insurance product design and underwriting and claims services in accordance with laws and regulations, and improve the level of financial services for the real economy. Improve the ability of financial institutions to resist risks, promote the development of digital finance, promote the sharing, sharing and efficient circulation of financial credit data, public credit data, and commercial credit data under the premise of security and compliance in accordance with law, support the sharing of risk control data among financial institutions, integrate and analyze multi-dimensional data such as financial markets, credit assets, and risk verification, give play to the driving role of financial technology and data elements, support the improvement of financial institutions' anti-fraud and anti-money laundering capabilities, and improve the level of risk early warning and prevention.

(9) Data elements × scientific and technological innovation

Promote the orderly, open and shared sharing of scientific data, promote the interconnection and interconnection of all kinds of scientific data generated by major scientific and technological infrastructures and major scientific and technological projects, support and cultivate the construction of scientific databases with international influence, and rely on platforms such as national scientific data centers to strengthen the construction of high-quality scientific data resources and scenario applications. Contribute to cutting-edge research with scientific data, provide high-quality scientific data resources and knowledge services for basic disciplines, and drive scientific innovation and discovery. Supporting technological innovation with scientific data, focusing on biological breeding, new material creation, drug research and development and other fields, and accelerating technological innovation and industrial upgrading with the integration of digital intelligence. Support the development of large models with scientific data, dig deep into various scientific data and scientific and technological literature, build a scientific knowledge resource base through fine-grained knowledge extraction and multi-source knowledge fusion, build high-quality corpora and basic scientific datasets, 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 cross-field collaborative innovation, discover new laws and create new knowledge driven by data, and accelerate the paradigm change of scientific research.

(10) Data elements× cultural tourism

Cultivate new cultural and creative products, promote the open sharing, trading and circulation of data resources such as cultural relics, ancient books, fine arts, operas, intangible cultural heritage, and ethnic folklore in accordance with the law, support business entities in fields such as cultural creativity, tourism, and exhibitions to strengthen the development and utilization of data, and cultivate products and brands with Chinese cultural characteristics. Excavate the value of cultural data, connect the data centers of various cultural institutions, associate them to 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 and other functions. Improve the level of tourism services, support tourism operators to share meteorology, traffic and other data, build customer group portraits and city portraits under the premise of legal compliance, and optimize tourism supporting services and one-stop travel services. Improve tourism governance capabilities, support cultural and tourism venues to share data on public security, transportation, meteorology, licenses, etc., and support "license-free" ticket purchases, crowd monitoring and early warning, emergency rescue, etc.

(11) Data elements× medical and health care

Improve the convenience of the masses to seek medical treatment, explore and promote the sharing of electronic medical record data, and promote the unification and sharing of data standards for inspection and test results among medical institutions. Facilitate the settlement of medical claims, and support medical institutions to carry out diagnosis and treatment first and pay for medical treatment based on credit data. Promote medical insurance services for the convenience of the people. 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 files, integrate data such as physical examination, medical treatment, and disease control, and innovate data-driven public service models such as 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 precise design of commercial insurance products, recuperation and other service products, and expand new models and new formats of data application such as smart medical care and smart health management. Improve the development level of traditional Chinese medicine, strengthen the integration of multi-source data in the whole process of health services such as prevention, treatment, and rehabilitation of traditional Chinese medicine, support the systematic analysis of the efficacy, drug interactions, indications, and safety of traditional Chinese medicine, and promote the high-quality development of traditional Chinese medicine.

(12) Data elements× emergency management

Improve the ability to supervise production safety, explore the use of electricity, communications, remote sensing, fire protection and other data to achieve accurate supervision of enterprises in high-risk industries such as illegal mining, open and covert mining, and intelligent monitoring of urban fires. Encourage social insurance enterprises to focus on high-risk industries such as mines and hazardous chemicals, research and establish assessment models for production safety liability insurance, develop new types of insurance, and improve the accuracy and scientificity of risk assessment. Improve the ability to monitor and assess natural disasters, use public data such as iron towers, electric power, and meteorology, develop natural disaster monitoring and assessment models, and strengthen the ability to accurately warn and judge disaster risks. Strengthen the integration and analysis of monitoring data such as seismic activity, crustal deformation, and underground fluids, and improve the level of earthquake prediction and early warning. Improve emergency coordination and sharing capabilities, promote cross-regional sharing and sharing of data such as disaster accidents, materials and equipment, special operations personnel, and safety production and business licenses, and improve the efficiency of coordination and linkage between regulatory 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 data and meteorological data, realize a new intelligent decision-making model that integrates 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 urban planning, major projects and other construction data, and prevent and mitigate the impact of extreme weather and adverse meteorological conditions on planning and engineering from the source. Innovate meteorological data products and services, support financial enterprises to integrate and apply meteorological data, develop new products of weather index insurance, weather derivatives and climate investment and financing, and provide support for insurance and futures. Support new energy enterprises to reduce costs and increase efficiency, support wind and solar energy enterprises to integrate and apply meteorological data, optimize site selection and layout, equipment operation and maintenance, energy scheduling, etc.

(14) Data elements × urban governance

Optimize urban management methods, promote multi-dimensional data integration of urban people, places, events, things, situations, and organizations, support the application of scenarios in various fields such as public health, traffic management, public safety, ecological environment, grassroots governance, and sports events, and realize real-time situation awareness, intelligent risk research and judgment, and timely collaborative disposal. Support scientific decision-making on urban development, support the use of data such as urban spatio-temporal foundation, resource survey, planning and control, engineering construction projects, and Internet of Things perception, and help refine and intelligentize urban planning, construction, management, services, and other strategies. Promote the universalization of public services, deepen the sharing and application of public data, and further promote services such as employment, social security, health, hygiene, medical care, assistance, elderly care, disability assistance, and childcare. Strengthen regional collaborative governance, promote data access and business collaboration in urban agglomerations, and realize cross-city handling of service matters such as registration of business entities, settlement of medical treatment in different places, and mutual transfer of pension insurance.

(15) Data elements × green and low-carbon

Improve the level of refinement of ecological and environmental governance, promote the integration and application of meteorological, water conservancy, transportation, electric power and other data, and support the coupling forecasting of meteorology and hydrology, disaster analysis, river and lake shoreline monitoring, emergency response to water emergencies, response to heavily polluted weather, and refined management of urban water environment. Strengthen the integration and innovation of public data on the ecological environment, support enterprises in integrating and applying their own data and public data on the ecological environment, 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-consuming enterprises to open up data such as orders, production scheduling, and electricity consumption, and support applications such as energy consumption forecasting, multi-energy complementation, and gradient pricing. Improve the utilization efficiency of waste resources, gather data on solid waste collection, transfer, utilization, disposal and other links, promote the efficient connection of 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 opening up of carbon emission data such as materials, auxiliary materials, energy and other carbon emission data of key products and industry carbon footprint data, carry out product carbon footprint measurement and evaluation, and guide enterprises to save energy and reduce carbon emissions.

Fourth, strengthen support for safeguards

(16) Increase the level of data supply

Improve the data resource system, promote scientific research institutions, leading enterprises, and other fields in the fields of scientific research, culture, and transportation to carry out the construction of industry common data resource databases, and create high-quality artificial intelligence large model training datasets. Increase the supply of public data resources, organize and carry out authorized operations of public data in key fields and relevant regions, and explore mechanisms for authorizing public data coordinated by ministries and provinces. Guide enterprises to open up data, encourage market forces to tap the value of commercial data, and support the integration and innovative application of social data. Improve the standard system, strengthen the construction of standards such as data collection and management, and promote the formulation of industry standards in a coordinated manner. Strengthen supply incentives, draft and improve rules for the protection of the rights and interests of entities involved in different aspects such as the collection, processing, circulation, and application of data content, and promote the rational use of personal information on the premise of protecting personal privacy.

(17) Optimize the environment for data circulation

Improve the efficiency of transaction circulation, support enterprises in the industry to jointly formulate data circulation rules and standards, focus on business needs to promote data compliance circulation, and improve the efficiency of data application between multiple entities. Encourage trading venues to strengthen compliance management, innovate service models, create a service ecology, and improve service quality. Create a secure and credible circulation environment, deepen the application of technologies such as data space, privacy computing, federated academic Xi, blockchain, and data sandboxes, explore the construction of data circulation platforms in key industries and fields, enhance the ability to use data in a credible, controllable, and measurable manner, and promote the compliant and efficient circulation and use of data. Cultivate circulation service entities, encourage local governments to adapt measures to local conditions, and build data characteristic parks and virtual parks through methods such as building new or expanding the functions of existing parks, and promote the coordinated development of data vendors and third-party professional service institutions. Improve support measures for cultivating data vendors. Promote the orderly cross-border flow of data, benchmark against international high-standard economic and trade rules, continue to optimize regulatory measures for cross-border data flow, and support the exploration of pilot free trade zones.

(18) Strengthen data security safeguards

Implement data security laws and regulations, improve systems for categorical and hierarchical data protection, implement systems such as for graded network security protection and critical information infrastructure security protection, strengthen the protection of personal information, and increase the level of data security safeguards. Enrich data security products, develop refined and professional data security products for key industries and key 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.

Fifth, do a good job in organization and implementation

(19) Strengthen organizational leadership

Give 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 the implementation of tasks, and coordinate and promote cross-departmental collaboration. Industry regulatory departments should focus on the needs of data development and utilization in key industries, and refine measures for implementing the action plan. Local data management departments, in conjunction with relevant departments, should research and draft implementation plans, forming practices for the application of data elements that are in line with reality in light of local conditions, driving the cultivation of a group of data vendors and third-party professional service establishments, and creating a positive ecosystem.

(20) Carry out pilot work

Support departments and localities to carry out policy-based pilots in a coordinated manner, focusing on key industries and fields, and combining the needs of scenarios, to study the implementation measures of the separation of data resource ownership, data processing and use rights, and data product management rights, and explore data circulation and transaction models. Encourage all localities to boldly explore, take the lead in experimenting, strengthen model innovation, and promptly summarize practical experience that can be replicated and promoted. Promote enterprises to account for data resources in accordance with the national unified accounting system.

(21) Promote the use of competitions

Organize and carry out the "Data Element ×" 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 new products, cultivate new models and new formats, and improve the ecology of data elements.

(22) Strengthen financial support

Implement the pilot project of "data element ×", and make overall use of investment in the central budget 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, give play to the role of relevant guidance funds and industry funds, and guide and encourage all types of social capital to invest in the data industry. Support data providers to go public and raise funds.

(23) Strengthen publicity and promotion

Carry out the selection of typical cases of the application of data elements, and select a number of typical applications. Relying on the Digital China Construction Summit and various conferences, forums and activities related to data elements, we will actively release typical cases and promote experience sharing, exchanges and cooperation. Each local data management department should thoroughly excavate data elements and apply good experiences and good practices, making full use of all types of news media, increasing the force of publicity and increasing influence.

责编:史健 | 审核:李震 | 监审:万军伟