←News detail

Smart City Industry AnalysisUpdated Oct 26 11:29

Sichuan Province Releases the Action Plan for Breakthroughs in Market-Based Allocation Reform of Data Elements (2026–2028)

AI summary

Sichuan Province has issued the "Action Plan for Breakthroughs in Market-Based Allocation Reform of Data Elements (2026–2028)," focusing on implementing 5 major actions and 15 tasks: improving the quality and expanding the coverage of data supply, demand-driven application scenarios, cultivating data business entities, building data market infrastructure, and coordinated governance of the data market. The plan proposes that by the end of 2028, it will build no fewer than 200 high-quality industry datasets, create no fewer than 400 benchmark application scenarios, support the creation of about 10 industry benchmark large models with national influence, and introduce and cultivate no fewer than 500 data enterprises, initially establishing a highland for innovation and development in market-based allocation reform of data elements.

Body · AI translation

Notice of the General Office of the Sichuan Provincial People's Government on Issuing the "Action Plan for Breakthroughs in the Market-Based Allocation Reform of Data Elements in Sichuan Province (2026–2028)"

Chuan Ban Fa [2026] No. 42

To the people's governments of all cities (prefectures), relevant departments and relevant directly affiliated institutions of the provincial government, and relevant units:

The "Action Plan for Breakthroughs in the Market-Based Allocation Reform of Data Elements in Sichuan Province (2026–2028)" has been approved by the Provincial Party Committee and the Provincial Government and is hereby issued to you. Please implement it conscientiously.

General Office of the Sichuan Provincial People's Government

October 19, 2026 Action Plan for Breakthroughs in the Market-Based Allocation Reform of Data Elements in Sichuan Province (2026–2028)

To implement the arrangements of the Party Central Committee, the State Council, and the Provincial Party Committee and Provincial Government on the market-based allocation reform of data elements, actively participate in building an open, shared, and secure national integrated data market, fully unleash the value of data elements, and empower the province's high-quality economic and social development, this action plan is formulated in light of the province's actual conditions.

I. Work Objectives

Centering on the main line of the market-based allocation reform of data elements, focus on implementing five major actions: improving the quality and expanding the coverage of data supply, demand traction through application scenarios, cultivation of data business entities, building the foundation of data market facilities, and collaborative governance of the data market, and accelerate the smooth circulation of the large cycle of data supply, circulation, and application, promoting secure, compliant, and efficient circulation and utilization of data.

By the end of 2028, the province's data market policy system and institutional mechanisms will be basically complete, the scale and quality of data resources will be significantly improved, the regional node of national data infrastructure will be basically completed, the collaborative governance mechanism will operate effectively, no fewer than 200 high-quality industry datasets will be built, no fewer than 400 benchmark application scenarios will be created, support will be provided to build about 10 industry benchmark large models with national influence, no fewer than 500 data enterprises will be attracted and cultivated, a data market development ecosystem featuring ample supply and demand, efficient circulation, diverse applications, and orderly security will be formed, and a highland for reform, innovation, and development in the market-based allocation of data elements will be initially built.

II. Implement the Action to Improve the Quality and Expand the Coverage of Data Supply

(1) Deepen the development and utilization of public data resources. Implement the "Implementation Rules for Government Data Sharing in Sichuan Province," strengthen the compilation, updating, and maintenance of government data resource catalogs, accelerate the construction of the provincial integrated data platform, promote the full aggregation of government data and the principle that all data that should be aggregated must be aggregated, and support the return of data to local areas on demand. Deepen the province-wide statistical survey of public data resources, establish a closed-loop mechanism for accepting, responding to, and evaluating public data openness needs, and give priority to opening data closely related to people's livelihood and urgently needed by society. Scientific data generated by projects supported by provincial science and technology special funds shall be submitted to the Provincial Science Data Center in accordance with the principle that all data that should be submitted must be submitted. Accelerate the authorized operation of public data resources, study and formulate an implementation plan for the authorized operation of public data resources in Sichuan Province, give priority to carrying out provincial-level pilots in fields such as transportation and logistics, natural resources, medical and health care, and financial services, and support qualified cities (prefectures) in exploring operating models that combine overall authorization with authorization by field and by scenario. Advance the pilot for collecting governance costs of public data resources, establish a pricing mechanism for authorized operation of public data, standardize pricing procedures, and lower the threshold and cost of obtaining public data. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Science and Technology, Department of Housing and Urban-Rural Development, Department of Transport, Provincial Health Commission, Provincial State-owned Assets Supervision and Administration Commission, Provincial Local Financial Administration Bureau, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center, Provincial Energy Administration, people's governments of all cities (prefectures) (the unit before the first comma is the lead unit, and responsible units shall assume responsibilities according to the division of duties; the same below)]

(2) Promote innovative supply of enterprise data resources. Support industrial chain enterprises and internet platform enterprises in building enterprise data resource systems, innovating data operation models, and enhancing enterprise data openness and service capabilities. Encourage enterprises to include data assets on their balance sheets and support the improvement of data asset registration, evaluation, and audit service systems. Encourage enterprises and public institutions to establish chief data officers and strengthen data governance and development and utilization. Implement the action to enhance the value of data elements in provincial state-owned enterprises, promote leading state-owned enterprises in fields such as transportation, construction, energy, and culture to deeply tap data value and empower industrial transformation and upgrading. Promote the aggregation, integration, and collaborative utilization of public data and enterprise data. Accelerate the integrated construction of channel networks, logistics networks, and data networks, and guide enterprises to circulate and utilize logistics data in a market-based manner. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Department of Finance, Department of Transport, Provincial Health Commission, Provincial State-owned Assets Supervision and Administration Commission, Provincial Market Regulation Administration, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center]

(3) Accelerate the creation of high-quality industry datasets. Focusing on key industrial fields such as industrial manufacturing, low-altitude intelligence, scientific research, medicine and health, and culture and tourism, build industry-general and industry-specific datasets as well as Chinese-language corpora. Fully leverage the scientific research advantages of institutions such as universities, research institutes, and hospitals in the province, promote the "simultaneous storage and use" of scientific data, and strive to have national scientific data backed up in Sichuan. Build a provincial-level dataset management service platform, participate in formulating construction standards for high-quality industry datasets, and achieve effective management and collaborative utilization of dataset resources across levels, systems, and regions. Guide data enterprises and research institutions to carry out open-source dataset R&D and open-source community building, reduce the costs of data acquisition, processing, and maintenance, create a co-constructed, co-governed, and shared open-source ecosystem, and support Chengdu Municipality in carrying out pilot open-source community building. Deepen the construction of the National Data Annotation Base (Chengdu), support Zigong Municipality, Suining Municipality, Neijiang Municipality, and Yibin Municipality in accelerating the construction of provincial-level annotation bases, support the creation of city-level intelligent data annotation public service platforms, and develop data collection, annotation, and synthesis industries with local characteristics. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Department of Education, Department of Science and Technology, Provincial Health Commission, People's Governments of Chengdu Municipality, Zigong Municipality, Suining Municipality, Neijiang Municipality, and Yibin Municipality]

III. Implement the action of application scenario demand traction

(4) Collaboratively create "Data Elements ×" and "Artificial Intelligence +" application scenarios. Focusing on key directions such as government services and urban governance, create a matrix of Tianfu government application scenarios such as Tianfu Credit Enhancement, Tianfu Hotline, and Tianfu Report Express; on the basis of a unified spatial geographic base map, continuously expand the government application "one map" in fields such as urban management, emergency management, transportation, and ecological environment. Focusing on livelihood fields such as medical health, education and teaching, culture and tourism, and digital consumption, create a batch of benchmark application scenarios empowered by data. Actively create typical cases of data circulation and utilization such as public data "running", and recommend and apply for excellent scenarios at the national level. Focusing on key industrial chains such as artificial intelligence, high-end energy equipment, aerospace, and new displays, create a batch of industrial chain collaborative application scenarios, support enterprises in relevant industrial chains to promote upstream and downstream data sharing, collaborative co-construction, and resource integration, and enhance joint innovation capabilities. In fields such as scientific research, manufacturing, agriculture, and producer services, build a batch of demonstrative and highly driving comprehensive application scenarios, form a list of high-value artificial intelligence scenarios in key industries, and vigorously promote the implementation of scenarios. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Science and Technology, Department of Economy and Information Technology, Department of Education, Department of Agriculture and Rural Affairs, Department of Commerce, Department of Culture and Tourism, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center]

(5) Promote the development of "model-data resonance". Research and formulate an implementation plan for the "model-data resonance" action in Sichuan Province, and promote the coordinated linkage of high-quality datasets, high-efficiency large models, and high-value application scenarios. Focusing on industries such as electronic information, equipment manufacturing, medical health, advanced materials, low-altitude economy, and culture and tourism, open up the entire chain of "data supply—model R&D—software-hardware adaptation—scenario implementation", and form a virtuous cycle of "data—model—scenario—industry". Relying on the industrial endowments of places such as Chengdu Municipality, Mianyang Municipality, and Ya'an Municipality, create a spatial matrix of "model-data resonance" with complementary functions and differentiated development. Expand the scope of implementation of "computing power vouchers", innovatively launch "Token vouchers", and reduce the cost of using models and data for small and medium-sized enterprises. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Department of Science and Technology, Department of Finance, Department of Culture and Tourism, Provincial Health Commission, People's Governments of Chengdu Municipality, Mianyang Municipality, and Ya'an Municipality]

(6) Strengthen the supply-demand matching of scenario applications. Establish a province-wide normalized mechanism for collecting and promoting scenario demands and product supply, and continuously carry out promotion activities for major scenario projects in the data field. Relying on major events such as the Tianfu Digital Economy Conference and the Sichuan Division of the "Data Elements ×" Competition, build supply-demand matching platforms, create a scenario innovation ecosystem of collaborative cooperation among government, enterprises, and research institutions, and establish a "open competition mechanism to select the best candidates" system for key application scenarios. Create a batch of digital application scenario laboratories, and provide services such as supply-demand matching, proof of concept, scenario incubation, and promotion and reuse. Encourage administrative institutions, state-owned enterprises, artificial intelligence enterprises, and others to purchase data products and services, and enhance the market consensus of paying for high-quality data. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Department of Finance, Provincial State-owned Assets Supervision and Administration Commission, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center]

IV. Implement the action of cultivating data business entities

(7) Vigorously cultivate data circulation service institutions. Promote the provincial level and Chengdu Municipality to jointly build and operate the Sichuan Digital Asset Exchange Center, establish a full-process management mechanism for entry verification, listing and rights confirmation, transaction traceability, delivery traceability, and dispute mediation, and create a regional core platform for data circulation and trading that radiates to western China. Encourage government departments and provincial state-owned enterprises to enter the market to purchase data, and guide compliant public data products to enter the market for trading and circulation. Support data circulation service platform enterprises to promote data circulation, utilization, and value co-creation around industrial chains, supply chains, and platform ecosystems, and promote the professional development of data circulation platforms in advantageous industries such as culture and tourism, transportation and logistics, energy and chemicals, medicine and health, and food and beverages. Support data vendors in providing professional services such as data collection, processing, circulation and trading, and data asset capitalization, and increase efforts in developing data products and services. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Finance, Provincial State-owned Assets Supervision and Administration Commission, Provincial Market Regulation Administration, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center, People's Government of Chengdu Municipality]

(8) Support the development of third-party professional service institutions. Cultivate professional service entities such as data brokerage and compliance consulting, and improve the data circulation and trading ecosystem. Support qualified third-party institutions in expanding data-related business such as data notarization, security auditing, compliance certification, quality evaluation, asset custody, asset appraisal, authorization and evidence preservation, risk assessment, dispute arbitration, and mediation. Regulate the service conduct of third-party institutions, establish service capability evaluation and credit supervision mechanisms, and promote lawful and honest operation. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Provincial High People's Court, Provincial Department of Justice, Provincial Market Regulation Administration]

(9) Cultivate and strengthen data enterprises in a tiered manner. Accelerate the cultivation of six categories of data enterprises: data resources, technology, services, applications, security, and infrastructure; promote the registration and inclusion of data enterprises in the database; cultivate in a tiered manner a group of data enterprises with international competitiveness; and incubate a group of innovative and dynamic new-type data enterprises. Give full play to the leading role of Sichuan Data Group and cultivate and strengthen the data factor market. Support Chengdu High-tech Zone and Fucheng District of Mianyang City in building national data industry clusters, and support Sichuan Tianfu New Area, Wuhou District of Chengdu City, Jinniu District of Chengdu City, and Da'an District of Zigong City in building provincial-level data industry clusters. Strengthen industry-university-research-application collaboration, support data enterprises in connecting the entire process of technological breakthroughs, product research and development, verification and testing, and scenario application, and build an innovation ecosystem featuring integrated development of large, medium, and small enterprises and coordination across the upstream and downstream of the industrial chain. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Department of Science and Technology, Provincial Market Regulation Administration, People's Governments of Chengdu City, Zigong City, and Mianyang City]

V. Implement the action to build a foundation for data market facilities

(10) Build a facility system for data circulation and utilization. Deepen the national pilot program for data infrastructure construction, and carry out technological breakthroughs, pilot applications, and optimization and upgrading in directions such as data fields, blockchain, and privacy computing. Support Chengdu City and Panzhihua City in building urban business nodes of national data circulation and utilization infrastructure, and build regional nodes of national data infrastructure. Carry out provincial-level pilot projects for data circulation and utilization infrastructure construction in qualified cities (prefectures), and lay out industry-level and enterprise-level data circulation and utilization infrastructure. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), People's Governments of Chengdu City and Panzhihua City]

(11) Accelerate the construction of a data property rights registration platform. Establish and improve the provincial data property rights registration work system and registration mechanism, organize the selection of data property rights registration service institutions, build a provincial data property rights registration platform, and achieve alignment with the national data property rights registration platform in business, functions, technology, and standards. Remove obstacles to trading and circulation through the determination of data property rights ownership, and expand the application of registration certificates in scenarios such as trading, financing, and supervision. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Justice, Provincial Market Regulation Administration]

(12) Advance the construction of trusted data spaces. Support Chengdu City in relying on the Tianfu multi-cross-domain trusted data circulation comprehensive service platform to accelerate the pilot for innovative development of urban trusted data spaces. Support qualified cities (prefectures) in building urban trusted data spaces and promote cross-domain integrated application of public data in urban governance, transportation, health, and other fields. Support enterprises in collaboratively building trusted data spaces in industries such as food and beverages, intelligent manufacturing, biomedicine, cultural tourism, and transportation and logistics, and cultivate new models and new forms of business. Accelerate the pilot for innovative development of the enterprise trusted data space for "intelligent manufacturing supply chain collaboration," support provincial state-owned enterprises and key industrial chain enterprises in building enterprise trusted data spaces, and promote data sharing and common use across the upstream and downstream of the industrial chain. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Department of Economy and Information Technology, Provincial State-owned Assets Supervision and Administration Commission, People's Governments of Chengdu City and Mianyang City]

VI. Implement the action for collaborative governance of the data market

(13) Improve the rules and institutional mechanisms of the data market. Implement the property rights operation mechanism under which data holding rights, use rights, and operating rights are separated, and study and formulate a task list for establishing and improving the data property rights system. Improve institutional norms such as data property rights registration management, review, and certificate application. Improve the price formation and income distribution mechanism for data factors under which the market evaluates contributions, remuneration is determined according to contributions, and the interests of all parties are taken into account. Strengthen compliance and quality management of data products and services, and improve testing, certification, supervision, and information disclosure mechanisms. Formulate management rules for key links of data products and services such as trial use, contracting, delivery, settlement, and after-sales, and promote the application of model contract texts for data circulation and trading standards. Formulate inclusive and prudent full-chain market supervision rules and maintain a fair competitive market order. Carry out credit supervision and credit evaluation of data trading, and promote the building of a credit system for the data factor market. [Responsible units: Provincial Development and Reform Commission (Provincial Data Bureau), Provincial Market Regulation Administration, Department of Justice, Provincial State-owned Assets Supervision and Administration Commission]

(14) Strengthen administrative and judicial safeguard capabilities. Establish a cross-departmental regular communication mechanism, promote the connection between administrative law enforcement and judicial adjudication in the data field, and release typical judicial cases in the data field in due course. Relying on intellectual property courts and internet courts, explore specialized trial mechanisms for data disputes, promote the establishment of diversified resolution mechanisms for data disputes, improve dispute resolution mechanisms such as data property rights arbitration and administrative reconsideration, and cultivate and develop data property rights mediation organizations, arbitration institutions, and notarization institutions. Strengthen the construction of administrative coordinated supervision systems in the data field, regulate administrative law enforcement discretion, and lawfully crack down on illegal and non-compliant acts such as data abuse, deepfakes, privacy leaks, and monopoly and unfair competition in the data field. Regulate the development and utilization of personal data. Strengthen supervision and management of major compliance risks of data circulation service institutions. [Responsible units: Provincial High People's Court, Provincial Development and Reform Commission (Provincial Data Bureau), Political and Legal Affairs Commission of the Provincial Party Committee, Department of Public Security, Department of Justice, Provincial Market Regulation Administration]

(15) Enhance data circulation and utilization security governance capabilities. Research and formulate policies and measures for data circulation security governance in Sichuan Province, and integrate security and compliance throughout the entire process of data supply, circulation, and utilization. Research and formulate guidelines for data classification and grading in key fields such as industry, healthcare, culture, education, finance, and transportation. Strengthen the application of commercial cryptography for data protection. Explore the establishment of a mechanism for defining security responsibilities in data circulation, refine security governance measures in conjunction with the development of the artificial intelligence industry, explore a "sandbox regulation" mechanism, and establish a data security audit and traceability-based responsibility determination mechanism. Build a provincial-level data security protection platform to provide data security protection services covering key fields across the province. Advance the secure cross-border flow of data in an orderly manner, accelerate the implementation of the negative list for data export in the China (Sichuan) Pilot Free Trade Zone, and expand pilot scenarios for cross-border data flow. [Responsible units: Cyberspace Administration of the Provincial Party Committee, Provincial Development and Reform Commission (Provincial Data Bureau), Department of Commerce, Department of Public Security, Provincial Health Commission, Provincial Local Financial Administration, Provincial Government Services and Public Resources Trading Service Center, Provincial Big Data Center] VII. Safeguard Measures

Incorporate the reform of market-based allocation of data elements into the key work of the Economic System Reform Special Group of the Provincial Party Committee's Deep Reform Commission for coordinated advancement, and strengthen inter-departmental coordination and linkage. The Provincial Government Services and Public Resources Trading Service Center, together with the Provincial Big Data Center, shall jointly advance the construction of a digital government and do a good job in the construction of the provincial integrated data platform and the authorized operation of provincial public data resources.

Coordinate and make good use of various types of fiscal funds within the provincial budget, and increase support for major projects and important pilots in the data field, such as data infrastructure, high-quality datasets, and application scenario construction. Give full play to the guiding role of government investment funds such as the provincial digital economy development fund, and drive financial institutions, patient capital, and industrial funds to increase support for data enterprises, forming a diversified, multi-channel investment mechanism.

Establish and improve mechanisms such as enterprise recognition in the data science and technology field, government-recognized talent evaluation, and coordinated allocation of urgently needed talent, introduce leading industry talents and top experts with international influence in the data field, and improve training platforms and the professional title system. Support higher education institutions and vocational colleges in optimizing discipline and major settings in line with practical needs, and build a compound, innovative, and practice-oriented data science and technology talent team.

Strengthen publicity and promotion, promote experience exchange, and pool joint forces for building the data market.

www.smartcity.team

Statement: Please indicate the source as "Smart City Industry Analysis (www.smartcity.team)" and the relevant author when reprinting. Except for original content, some information on this site comes from the Internet. If the relevant content involves infringement of rights and interests, please contact the contact information at the bottom for deletion.

[Digital Technology Special Research] Community

In-depth peer exchange, focusing on smart city and digital technology industry research and material accumulation.

Continuously update the latest industry white papers, industry research, policy developments, and implementation solutions to help industry practitioners efficiently accumulate knowledge and share experience.

Massive essential content is continuously iterated, providing a cutting-edge perspective, connecting industry talent, carrying out case co-creation and resource interconnection, and jointly building a high-quality industry exchange atmosphere.

#post-##

Recommended for you

Hainan Tourism, Culture, Radio, Television, and Sports Data Export Security Guidelines (Trial): Set up three types of export paths, encourage the safe going global of cultural tourism and cultural creativity

Jiangsu Province Physical AI and World Model High-Quality Dataset Construction Action Plan (2026-2028): Build high-quality physical AI datasets covering more than 100 key scenarios, and build more than 10 high-quality datasets oriented toward frontier directions of world models

Guizhou "Model-Data Factory" Construction and Operation Work Plan (2026-2028): Coordinate computing power, data, applications, and industry; by 2028, strive to fully build a benchmark park, with industrial space exceeding 40,000 square meters, gathering more than 100 enterprises, and park revenue exceeding 1 billion yuan

Wuhan High-Quality Dataset Special Construction Clause Fund Management Measures: Support a batch of industry high-quality dataset construction projects each year, and award up to 2 million yuan based on 25% of the project's actual R&D investment

"Several Measures of Shanghai to Promote High-Level Opening Up and Facilitate Cross-Border Data Flow": Jointly issued by the Cyberspace Administration and the Data Bureau, 10 measures to facilitate cross-border data flow

China Meteorological Administration "Meteorological Data Management Measures": Effective from November 1, 2026

Source

Smart City Industry Analysis