To earnestly implement the "Opinions of the Central Committee of the Communist Party of China and the State Council on Establishing a Basic Data System to Better Leverage the Role of Data as a Factor of Production"and the "Implementation Opinions of the CPC Gansu Provincial Committee and the People’s Government of Gansu Province on Promoting the Development of the Data Factor Market," to fully leverage the multiplier effect of the data factor and empower high-quality economic and social development, this Implementation Plan is formulated in accordance with the spirit of the "Three-Year Action Plan for ‘Data Factor ×’ (2024–2026)" (Guoshu Zhengce [2023] No. 11) issued by the National Data Bureau and 16 other ministries and commissions, and in light of the actual conditions of our province.

I. General Requirements

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will fully implement the spirit of the 20th National Congress of the Communist Party of China and the Second Plenary Session of the 20th CPC Central Committee,we will thoroughly implement General Secretary Xi Jinping’s important expositions on building a Digital China, fully, accurately, and comprehensively implement the new development philosophy, leverage the role of data as a foundational resource and an engine of innovation, take the promotion of high-level application of the data factor as the main thread, focus on advancing the synergistic optimization, reuse and efficiency enhancement, and integrated innovation of the data factor, concentrate on key industries and fields with abundant data resources, strong driving force, and broad prospects to explore typical application scenarios for the data factor, comprehensively incentivize various entities to actively participate in the development and utilization of the data factor,foster new industries, new business models, and new growth drivers, fully realize the value of the data factor, and provide strong support for promoting high-quality development and advancing the Gansu practice of Chinese-style modernization.

By the end of 2026, we aim to establish a regional data trading center serving western China, build a relatively comprehensive institutional framework for the market-based allocation of data elements, and basically form a data industry system characterized by strong innovation capacity, high added value, and independent control. The momentum of the data industry will be accelerated, with an average annual growth rate exceeding 20%.We will establish a number of demonstration zones with notable achievements in the application of data elements, foster a group of data service providers and third-party professional service institutions with strong innovation capabilities and good growth potential, and develop a range of data element products and services that are technologically advanced and widely applied.The role of the integration of data and the real economy in transforming and upgrading traditional industries, fostering new models, business formats, and growth drivers, and enhancing corporate innovation vitality will be further strengthened. Significant results will be achieved in the integrated application of data elements in sectors such as modern agriculture, industrial manufacturing, and services, creating a series of typical application scenarios that are highly demonstrative, visible, and have broad spillover effects. The overall development ecosystem for data elements will take a significant leap forward, becoming a key driver for empowering the real economy, developing new-quality productive forces, and improving total factor productivity.

II. Key Tasks

(1) Data Elements × Industrial Manufacturing. Promote the construction of “Industrial Brains,” focusing on the province’s advantageous and distinctive industries such as new energy, petrochemicals, deep processing of non-ferrous metals, new materials equipment, new energy equipment, biopharmaceutical manufacturing, high-end CNC machine tools, and specialty agricultural and sideline products. Integrate and apply data from industrial and supply chains to strengthen real-time analysis, guidance, coordination, and management of industrial development, thereby helping to build high-end product chains, foster innovative service chains, and optimize and extend value chains.Enhance data-driven R&D capabilities by vigorously promoting the construction of data-collaborative R&D platforms. Pilot the establishment of more than 10 digital transformation promotion centers and cultivate more than 10 key industrial internet platforms. This will help enterprises improve their data integration and application capabilities, support joint research and development efforts among industry, academia, research institutions, and end-users, facilitate the industrialization of technological achievements, and foster new R&D models.Promote collaborative manufacturing by advancing the development of a product master data standards ecosystem. Support leading enterprises in integrating upstream and downstream supply chain data—including design, planning, quality, and logistics—to build collaborative platforms for smart manufacturing industrial and supply chains. This will facilitate the high-quality and high-value utilization of industrial manufacturing data, enabling agile and flexible collaborative manufacturing.Enhance service capabilities by accelerating the development of multi-tiered data services to address needs in data cleansing, annotation, analysis, and visualization. Foster new models and business formats in data services, such as intelligent services, value network collaboration, and integrated development and operations. Support enterprises in “moving to the cloud, utilizing data, and empowering with intelligence,” and drive the extension of value chains.Promote cross-domain data integration, build a secure and trustworthy data-sharing space for the industrial sector, and support the integrated application of industrial data with data on production capacity, procurement, inventory, and logistics. This will provide high-quality data support for investment promotion, production-supply-sales coordination, technological and process upgrades, raw material supply, manufacturing resource collaboration, complementary industrial strengths, and industrial chain and supply chain monitoring.Accelerate the application of new-generation industrial software and equipment, strengthen the development and application of enabling technologies, and support enterprises in integrating data flows across the entire value chain—including R&D, procurement, manufacturing, management, and after-sales services—to foster new models and business formats such as data-driven product development, simulation and optimization, intelligent production, predictive maintenance, precision management, and remote operation and maintenance.Encourage enterprises such as Tianshui Changkai, Lanzhou Electric Machinery, and Xinghuo Machine Tool to implement a series of national-level smart manufacturing pilot projects and new models. Create a set of typical application cases for data elements, including the 5G+ Smart Mine at Gansu Xigou Mine, the Baiyin Group’s industrial internet-based intelligent optimization and control platform for copper smelting production and consumption, and Jinchuan Group’s 5G+ unmanned underground electric locomotives. Establish a standardized construction system for industry-wide application and promotion.(Responsibility lies with the Provincial Department of Industry and Information Technology, the Provincial Department of Science and Technology, the Provincial State-owned Assets Supervision and Administration Commission, the Provincial Communications Administration, and leading enterprises in the industrial chain, in accordance with their respective duties. Municipal and prefectural governments, as well as the Lanzhou New Area Administrative Committee, are responsible for implementation. All subsequent tasks require implementation by municipal and prefectural governments and the Lanzhou New Area Administrative Committee and are not listed individually.)

(2) Data Elements × Modern Agriculture. Enhance the digital and intelligent levels of agricultural production. Focusing on the six major industries of “cattle, sheep, vegetables, fruits, potatoes, and medicinal herbs,” establish and develop a number of national digital agriculture innovation and application bases, and intensify digital transformation efforts in sectors such as crop cultivation and animal husbandry.Construct a number of smart farms, smart ranches, and smart fish farms tailored to local conditions; promote the adoption of equipment and technologies such as Beidou navigation, drones, inspection robots, integrated water and fertilizer management, smart agricultural machinery, the Internet of Things (IoT), and big data; and facilitate the integrated application of data on remote sensing, meteorology, soil conditions, agricultural operations, disasters, crop pests and diseases, animal diseases, and market conditions.Enhance the traceability management capabilities for agricultural products, strengthen the development of information platforms for quality and safety supervision and traceability, and promptly aggregate regulatory data such as agricultural operation records, rapid testing results for pesticide and veterinary drug residues, and certification records. Support third-party entities in aggregating data on agricultural product origins, production, processing, and quality inspection to facilitate traceability management and precision marketing.Promote innovation in industrial chain data integration. Support third-party entities in providing services to agricultural production and operation entities, including smart farming and livestock breeding, production-sales matching, disease prevention and control, market information, and cross-regional operations. Integrate data from production, sales, and processing to offer one-stop procurement and supply chain finance services. Accelerate the formation of a new model based on demand-driven production and precise supply-demand matching. Promote the smart transformation of agricultural production and commercial distribution enterprises, and increase efforts in the collection, storage, governance, and development of agricultural data.strengthen the collection, aggregation, and shared governance of foundational data on traded varieties, origins, flows, inventories, and prices; establish a full-cycle data system covering crop planting, growth, and sales; and support two-way data flow and linked analysis between e-commerce platforms, agricultural product wholesale markets, supermarkets, logistics enterprises, and data from the production, processing, and consumption ends of the agricultural sector to enhance the capacity for matching agricultural supply and demand.Enhance the risk-resilience of agricultural production. Support the integrated application of data on production capacity, transportation, processing, trade, and consumption in sectors such as grain, live pigs, and fruits and vegetables. Strengthen agricultural monitoring, early warning, and analysis dissemination to provide support for responding to the impacts of natural disasters, disease outbreaks, and price fluctuations. (Responsibility lies with the Provincial Department of Agriculture and Rural Affairs, the Provincial Bureau of Forestry and Grassland, the Provincial Department of Commerce, the Provincial Department of Transportation, and other relevant units according to their respective duties)

(3) Data Elements × Commerce and Distribution. Expand new forms of consumption by encouraging relevant enterprises to integrate market environment data—such as foot traffic, consumer behavior, traffic conditions, and cultural characteristics—to innovate consumption scenarios. Enhance the service capabilities of platforms such as culinary maps, credit information platforms for domestic services, dynamic maps of “15-minute convenience service circles,” and “minor repairs and maintenance” convenience maps. Support the innovative development of business models such as live-streaming e-commerce and on-demand e-commerce, and improve the effectiveness of consumption-promotion activities such as the Online New Year Shopping Festival, the “Double Quality” Online Shopping Festival,“Carnival of Time-Honored Brands,” and other consumption-promotion activities. Cultivate new business models by encouraging commerce and distribution enterprises and consumer-oriented e-commerce platforms to strengthen data integration and application, bridge online and offline data across all channels, develop personalized recommendation algorithms, and promote the application of advanced technologies such as 5G and artificial intelligence. This will enable customized product manufacturing and refined channel operations, facilitate precise matching of supply and demand, and create new immersive, experiential, and interactive consumption scenarios.We will build new brands by supporting e-commerce and commerce enterprises to leverage data on order volume, order types, and population distribution to proactively connect with manufacturers and industrial clusters. This will strengthen production-sales coordination and targeted promotions, helping to establish distinctive brands such as “Ganwei.” We will advance trade digitization by guiding domestic and foreign trade enterprises to integrate transaction, logistics, and payment data to improve production, management, and marketing efficiency, develop cross-border e-commerce, and create new momentum for foreign trade.(Responsibility lies with the Provincial Department of Commerce, the Provincial Department of Agriculture and Rural Affairs, the General Office of the Provincial Government, and other relevant units according to their respective duties)

(4) Data Elements × Transportation. Explore the development of a “Transportation Brain,” optimize and improve the province’s integrated comprehensive transportation information platform and comprehensive data center, and continue to promote the aggregation, sharing, analysis, and application of industry data resources. Explore the construction of algorithmic models tailored to industry governance, public travel services, and emergency command and dispatch to enhance industry governance capabilities and public service levels.Enhance the efficiency of intermodal transport by accelerating the sharing and mutual recognition of freight and delivery data, waybill data, settlement data, insurance data, and freight tracking data. Promote the smart operation of the intermodal transport demonstration projects at the Lanzhou Land Port and Lanzhou New Area, improve the service quality of international freight trains such as the China-Europe Railway Express, and guide shippers toward a model of “single consignment, single settlement, single insurance, and intermodal transport.”Unlock the value of data reuse by supporting relevant departments and enterprises in integrating and applying dynamic data—such as vehicle operational behavior and accident statistics—to provide data support for cross-departmental joint supervision, differentiated credit services, insurance services, and used-car consumption. Guide leading transportation enterprises to participate in the aggregation, sharing, and in-depth analysis of industry data resources, and utilize artificial intelligence to explore ways to improve operational efficiency and service levels, thereby creating a series of typical application cases for data elements.Promote the innovative development of intelligent connected vehicles. Advance the construction and operation of Gansu’s Smart Transportation and Intelligent Connected Vehicle Comprehensive Testing and Application Demonstration Base. Establish a database of open-road testing scenarios for intelligent connected vehicles, as well as an open-road testing system and cloud-based support platform. Create a national-level comprehensive vehicle testing ground,a competition venue for intelligent connected vehicles, and a teaching and industrial incubation center. Accelerate the construction of a science and technology experience and popular science center centered on autonomous driving, as well as the intelligent connected vehicle road-vehicle coordination open-road testing site on the Qingfu Grade I Highway along National Highway 312, to develop innovative solutions that are applicable, replicable, and scalable. (Responsibility lies with the Provincial Department of Transportation, the Provincial Public Security Department, the Provincial Department of Commerce, the Provincial Communications Administration, and other relevant units according to their respective duties)

(5) Data Elements × Financial Services. Enhance the level of financial services by encouraging financial institutions to integrate and utilize data from technology, environmental protection, industry and commerce, taxation, meteorology, consumption, healthcare, social security, agriculture and rural affairs, as well as water, electricity, and gas sectors. This will foster innovation in financial products and service models, optimize credit management processes, improve underwriting and claims settlement services, and elevate the capacity of financial services to support the real economy.Enhance the financial sector’s risk-resilience by strengthening the integrated application of financial credit data, public credit data, and commercial credit data; optimize models for risk identification and credit assessment; and provide a basis for decision-making to improve the modern financial regulatory system and manage risks associated with financial innovation.Promote innovative applications such as “Credit-Easy Loan,” “Longxin Tong,” and “Bank-Tax Interaction,” strengthen information sharing between the Provincial Credit Information Sharing Platform and the Basic Database of Financial Credit Information, and deepen the application of the Lanzhou New Area Green Finance Comprehensive Service Platform to meet the data needs of various financial institutions for risk management. (Responsibility lies with the Gansu Regulatory Bureau of the National Financial Supervision and Administration, the People’s Bank of China Gansu Branch, the Provincial Local Financial Administration Bureau, the Provincial Business Environment Construction Bureau, and other relevant units according to their respective duties)

(6) Data Elements × Technological Innovation. Promote the orderly opening and sharing of scientific data, optimize the planning and layout of the Provincial Scientific Data Center, and strengthen the development, aggregation, and management of distinctive and advantageous data resources. Enhance and strengthen data centers in fields such as new materials, new energy, laboratory animals, and meteorology and hydrology, as well as scientific databases in areas including ecological environment, disaster prevention and mitigation, climate change, and agricultural biological germplasm resources. This will promote the standardization, unified management, centralized storage, effective management, and shared use of scientific data, thereby improving the level of scientific data sharing services.Leverage scientific data to support cutting-edge research, focusing on basic disciplines to provide high-quality scientific data resources and knowledge services that drive scientific innovation and discovery. Use scientific data to underpin technological innovation, concentrating on fields such as biological breeding, new materials development, biomedicine, and energy and chemical engineering, and accelerate technological innovation and industrial upgrading through the integration of data and intelligence.Support the development of large-scale models using scientific data. Deeply mine various types of scientific data and scientific and technological literature; through fine-grained knowledge extraction and multi-source knowledge integration, build a foundation of scientific knowledge resources; construct high-quality corpora and foundational scientific datasets to support the development and training of large-scale artificial intelligence models. Explore new research paradigms by fully leveraging various databases and knowledge bases to advance interdisciplinary and cross-domain collaborative innovation; use data to drive the discovery of new laws, create new knowledge, and accelerate the transformation of scientific research paradigms.(Responsibility lies with the Provincial Department of Science and Technology, the Provincial Department of Education, and other relevant units according to their respective duties)

(7) Data Elements × Culture and Tourism. We will establish a new system for the integrated application of culture and tourism data, accelerate the construction of the “Culture and Tourism Brain” platform, and build national data resource hubs for revolutionary history and cultural big data. We will strive to establish the Gansu branches of the China Cultural Heritage Specimen Repository, the Chinese Cultural Gene Bank, and the Chinese Cultural Material Repository, thereby enhancing the province’s capacity to aggregate, develop, and utilize cultural data resources.Cultivate innovative cultural tourism products; encourage various cultural tourism institutions and enterprises to conduct research on relevant data models and implement application demonstrations; expand the scope of cultural tourism consumption; and create a series of high-quality data integration projects, such as the Grand Dunhuang Silk Road Digital Humanities Base and the Wensuge digital products of the *Siku Quanshu*.Encourage cultural and tourism enterprises to collaborate with software companies to explore new products for self-driving and cycling tourism services. Integrate data from culture, tourism, road networks, natural resources, consumption, commerce, meteorology, and healthcare to optimize the “Self-Driving+” and dedicated cycling route ecosystem service systems, and develop new business models for digital cultural and tourism products.We will enhance the level of cultural tourism services and smart governance, promoting the intelligent upgrading of the entire cultural tourism industry chain across the province through technologies such as big data, cloud computing, the Internet of Things (IoT), artificial intelligence (AI), 5G, Beidou, VR, and AR. We will optimize the functional systems—including information, operations, supervision, statistics, and complaints—of the “Explore Gansu with One Phone” platform, and support cultural and tourism venues as well as tourism operators in sharing data on transportation, meteorology, public security traffic management,culture, cultural relics, tourism resources, and licensing data to provide data support for ticket purchases without ID, seamless reservations, off-peak management, and emergency response. Improve the level of cultural relics protection and utilization by promoting the integration and sharing of data on cultural relics damage, conservation and restoration, safety supervision, and circulation, and support the realization of functions such as cultural relics conservation and restoration, monitoring and early warning, precise management, emergency response, and interpretation and dissemination.Explore the development of provincial-level cultural data product and service export bases, with a focus on Lanzhou and Dunhuang. Encourage key cultural export enterprises to strengthen the R&D of data products and provide compliant data services to support overseas cultural and tourism enterprises investing and cooperating in Gansu. (Responsibility lies with the Provincial Department of Culture and Tourism, the Provincial Bureau of Cultural Relics, the Provincial Communications Administration, and other relevant units according to their respective duties)

(8) Data Elements × Healthcare. Improve the convenience of medical services for the public, strengthen the rating of electronic medical record application levels and the assessment of standardization maturity for interoperability, and promote the sharing of electronic medical record data.Improve the standardization and mutual recognition mechanisms for diagnostic and laboratory test results. Leveraging the Gansu Provincial Public Health Platform and the Healthy Gansu app, comprehensively promote convenient public services in medical institutions, such as in-office payment, bedside settlement, and the mutual recognition of diagnostic and laboratory test results. Streamline medical claims settlement and support medical institutions in implementing “treatment first, payment later” services based on credit data, while advancing convenient medical insurance services.Advance the integration and application of medical insurance and commercial health insurance data to provide one-stop “instant claims settlement” services under the “medical insurance + commercial insurance” model. Unlock the value of health and medical data by encouraging relevant entities, medical institutions, and third-party organizations to integrate data from health checkups, medical visits, and disease control to innovate public service models. Provide real-time authorized access to personal electronic health records, support early warning and monitoring of public health incidents, and strengthen digital occupational health supervision and services.Strengthen innovation in medical data integration. Relying on technologies such as artificial intelligence and machine learning, vigorously develop the medical data services industry; foster new models and business formats such as intelligent medical imaging, intelligent diagnosis and treatment, and intelligent health management; support financial and elderly care operators in sharing medical data to develop new products in commercial insurance and convalescent care.Promote the development of traditional Chinese medicine (TCM) by strengthening the integration of multi-source data across the entire TCM health service process—including prevention, treatment, and rehabilitation. This will support systematic analyses of TCM efficacy, drug interactions, indications, and safety, thereby providing support for industrial policy formulation, enterprise operations, and product R&D. (Responsibility lies with the Provincial Health Commission, Provincial Department of Industry and Information Technology, Provincial Medical Insurance Bureau, Provincial Drug Administration, Provincial Administration of Traditional Chinese Medicine, Gansu Regulatory Bureau of the National Financial Regulatory Administration, Provincial Local Financial Administration, and other relevant units according to their respective duties)

(9) Data Elements × Emergency Management. Enhance work safety supervision capabilities by exploring the establishment of emergency data monitoring and analysis models characterized by comprehensive monitoring, precise assessment, and robust support. Utilize data from power, telecommunications, remote sensing, and fire services to achieve precise supervision of illegal mining and covert operations at high-risk enterprises—such as coal mines, key metal and non-metal mines, metal smelting facilities, and chemical plants—as well as intelligent monitoring of urban fires.Enhance natural disaster monitoring and assessment capabilities. Utilize public data from satellite remote sensing, communication towers, power grids, and meteorological services to develop natural disaster monitoring and assessment models, thereby improving the accuracy of risk warnings for various natural disasters. Strengthen the integrated analysis of monitoring data on seismic activity, crustal deformation, and underground fluids to enhance earthquake prediction and early warning capabilities.Enhance emergency coordination and data-sharing capabilities by promoting cross-regional sharing of data on disaster situations, accidents, relief supplies, rescue forces, rescue sites, and risk hazards. Establish a unified “single map” for emergency response to facilitate “map-based operations” during emergency management, thereby improving the efficiency of coordinated regulatory enforcement and rescue operations. (Responsibility lies with the Provincial Department of Emergency Management, Provincial Seismological Bureau, Provincial Meteorological Bureau, Provincial Communications Administration, Provincial Power Company, and other relevant units according to their respective duties)

(10) Data Elements × Meteorological Services. Mitigate the impact of extreme weather and climate events by supporting the integrated application of data from the economy, society, the ecological environment, natural resources, agriculture, and rural areas with meteorological data, thereby realizing a new model of intelligent decision-making that encompasses climate change risk identification, risk assessment, risk warning, and risk transfer.To mitigate climate risks in key industries and sectors, establish a unified meteorological data platform and risk assessment models for major meteorological disasters such as heavy rain, drought, and cold/freeze damage. Scientifically calculate and analyze the scope of meteorological disaster risks and warning levels to advance precise disaster risk management, thereby providing a basis for risk prevention in key industries and sectors. Support the deep integration of meteorological data with construction data related to territorial spatial planning, urban planning, and key projects to mitigate the impact of extreme weather and adverse meteorological conditions on planning and engineering.Innovate meteorological data products and services, strengthen the research and development of high-value regional meteorological data products, promote the integrated application of meteorological data with the financial sector and real enterprises, encourage the development of financial products based on meteorological data, and vigorously develop weather index insurance, weather derivatives, and new climate investment and financing products, among others, to promote the application of relevant financial products in agricultural production, residents’ daily lives, and industrial development.(Responsibility lies with the Provincial Meteorological Bureau, the Provincial Department of Natural Resources, the Provincial Department of Agriculture and Rural Affairs, the Provincial Bureau of Forestry and Grassland, the Gansu Regulatory Bureau of the National Financial Supervisory Administration, the Provincial Local Financial Administration, and other relevant units according to their respective duties)

(11) Data Elements × Urban Governance. Optimize urban management approaches and explore the implementation of “integrated management via a single network” for urban operations.build a City Information Modeling (CIM) platform, advance the construction of urban infrastructure lifeline safety projects, and establish an urban operation data system supported by cutting-edge technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and 5G mobile communications. Promote the integration of multi-dimensional data—including people, land, events, objects, situations, and organizations—to support scenario-based applications across various fields such as public health, traffic management, public safety, ecological environment, grassroots governance, and sports events.Support scientific decision-making for urban development by advancing the aggregation, governance, integration, and value-added processing of multi-dimensional urban data. Encourage the use of data from urban spatiotemporal foundations, resource surveys, planning and control, construction projects, and IoT sensing to empower the refinement and intelligentization of strategies for urban planning, construction, management, and services.Promote the universalization of public services, deepen the sharing and application of public data, vigorously advance the smart transformation of public service facilities such as urban transportation, education, healthcare, and elderly care, and thoroughly improve the accessibility of services—including health, sanitation, medical care, childcare, employment, social security, relief, elderly care, and disability assistance—through “mobile,” “online,” and “neighborhood” channels. Facilitate cross-city access to services such as business registration, cross-regional medical settlement, and pension insurance transfers.Strengthen regional collaborative governance, systematically advance the construction of urban digital infrastructure, enhance regional cooperation on public data resources, deepen regional data standardization practices, promote mutual recognition and interoperability of digital certification systems and electronic credentials, improve the efficiency of regional data element allocation, and provide data support for strengthening regional collaborative governance. (Responsibility lies with the Provincial Department of Housing and Urban-Rural Development, the Provincial Department of Ecology and Environment, the Provincial Department of Industry and Information Technology, the General Office of the Provincial Government, the Provincial Big Data Center, the Provincial Communications Administration, and other relevant units according to their respective duties)

(12) Data Elements × Green and Low-Carbon Development. Strengthen refined governance of the ecological environment; promote the integrated application of data from sectors such as meteorology, water conservancy, transportation, and power; and support meteorological and hydrological coupled forecasting, disaster impact analysis, monitoring of river and lake shorelines, emergency response to sudden water-related incidents, response to severe air pollution, and refined management of urban water environments.Promote the integration and innovation of public ecological and environmental data to provide new models, methods, and approaches for environmental risk monitoring and assessment, and to 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, and encourage energy enterprises and energy-intensive enterprises to share data on orders, production schedules, and electricity consumption to support applications such as energy consumption forecasting, multi-energy complementarity, and tiered pricing.Improve the efficiency of waste resource utilization by exploring the close coupling and strong interrelationships between waste resource utilization and the ecological environment, as well as daily production and life. Aggregate data from all stages of solid waste management—including collection, transfer, utilization, and disposal—to promote the resource recovery of solid and hazardous waste.Improve carbon emissions management. Support key enterprises in calculating and evaluating the carbon footprint of their products, participating in the development of the carbon emissions trading market, and utilizing data on energy consumption, emissions, and resource usage to optimize production processes and technologies. Enhance the management efficiency of raw materials, water resources, and energy, and establish a group of enterprises with green supply chain management capabilities. (Responsibility lies with the Provincial Department of Ecology and Environment, the Provincial Development and Reform Commission, and other relevant units according to their respective duties)

(13) Data Elements × Green Energy. Deepen the value of energy data to establish a data element allocation system that serves the development of the regional economy and the energy sector. Support the diversified application of energy data through the integration of digital and physical domains, and provide both public-interest and market-oriented energy data services to government agencies, enterprises, and the public.Develop data-model-supported digital and intelligent scenarios for new energy production, accelerate the integration of advanced technologies—such as general-purpose large models and digital twins—with the entire production scheduling process and all elements of new energy enterprises, establish data-sharing mechanisms for production, processing, transportation, storage, and consumption, and promote the consumption of clean energy.Support new energy enterprises in reducing costs and improving efficiency by assisting new energy bases and related enterprises in developing forecasting models suitable for wind and solar power generation. Integrate meteorological data and production operation data to optimize the complementary operation of wind and solar power, the scientific layout of future projects, and energy dispatch.Encourage the development and construction of the “Electric Eye on Gansu” data integration application platform to establish a provincial power index for economic development. This index will objectively reflect economic performance across multiple dimensions—including economic vitality, urban-rural integration, and the development of distinctive industries—providing robust support for scientific government decision-making. (Responsibility lies with the Provincial Energy Bureau, Provincial Power Company, Provincial Meteorological Bureau, and other relevant units according to their respective duties)

(14) Enhance Data Supply Capabilities. Accelerate the development of a data resource system by fully leveraging the technological, resource, and platform advantages of the National Hub Node of the National Integrated Computing Power Network (Gansu), national key laboratories, and the Digital Government Big Data Platform to conduct applied research on key technologies such as data collection and processing.In fields such as scientific research, culture, and transportation, encourage research institutions and leading enterprises to build industry-specific data resource repositories, take the lead in or participate in the formulation of industry standards for data collection and management, create high-quality training datasets for large-scale artificial intelligence models, and explore the application of mature technologies in key scenarios.Strengthen policy incentives for the supply of public data resources. Research and introduce policy measures such as the "Gansu Province Data Regulations" and the "Gansu Province Public Data Authorization and Operation Management Measures." Enhance end-to-end management of data collection, aggregation, processing, circulation, and application. Vigorously advance the construction of the public data system, carry out the authorized development and utilization of public data, and establish new mechanisms for exchanging data for data, data for technology, and data for services.We will explore the authorized operation of public data. Leveraging the province’s resource endowments and distinctive industrial strengths, we will conduct compliant authorized operations of public and industry data in sectors with abundant data resources—such as cultural tourism, biomedicine, energy and chemicals, rural revitalization, healthcare, and meteorological services. In accordance with the principle that “raw data does not leave the province and data is usable but not visible,” we will provide data products and services to the public while protecting personal information, trade secrets, confidential business information, and ensuring public safety.Promote data openness from multiple dimensions, prioritizing the release of data in sectors closely related to people’s livelihoods and those with significant industry development potential. Actively guide enterprises to open up data from search engines, e-commerce, and social media platforms; develop third-party data services; encourage market forces to unlock the value of commercial data; support the integrated and innovative application of social data; and provide data development and value-added services to accelerate the release of the value of data as a production factor.(Responsibility lies with the General Office of the Provincial Government, the Provincial Development and Reform Commission, the Provincial Department of Industry and Information Technology, the Provincial Department of Science and Technology, the Provincial Department of Culture and Tourism, the Provincial Department of Transportation, the Provincial Department of Agriculture and Rural Affairs, the Provincial Health Commission, the Provincial Department of Commerce, the Provincial Meteorological Bureau, and other relevant units in accordance with their respective duties)

(15) Optimize the data circulation environment. Improve the efficiency of data transactions and circulation; explore and refine policies related to the data element property rights system; actively promote the implementation of regulations on data asset management; establish and improve mechanisms for data registration and title confirmation, cost accounting, price formation, asset recognition on balance sheets, and revenue distribution; refine the data pricing mechanism at the societal level; and advance the implementation of major tasks and initiatives related to the market-based allocation of data elements. Encourage enterprises to account for data resources in accordance with the national unified accounting system.Establish a secure, trustworthy, manageable, and traceable data circulation environment; build a supporting system of trustworthy, controllable, and measurable platforms for data asset rights confirmation, circulation, and trading that covers key industries and sectors; and strengthen the foundational safeguards for compliant and efficient data circulation across the province. Promote the establishment of a data property rights registration and evidence-preservation system in Gansu Province to achieve the registration and evidence preservation of rights and interests at multiple levels—including data resource ownership, data product operating rights, and data intellectual property rights—as well as their transfer relationships.Cultivate data circulation service providers. Leverage the massive data aggregation advantages of the National Hub Node (Gansu) within the National Integrated Computing Power Network. By integrating with distinctive and competitive industries, promote the development of industry-specific data factor markets. Encourage municipal and county governments to establish specialized data parks and virtual data parks—either through new construction or by expanding the functions of existing parks—to foster a cohort of data-driven enterprises, data service providers, and third-party professional service institutions. This will create a robust ecosystem for data factor circulation, establish a regulatory framework for data resource transactions, and facilitate the trustworthy circulation of data.Advance the development of data trading venues, standardize data trading practices, innovate service models, build a service ecosystem, and enhance service quality. Explore and promote cross-border data flow; establish a digital trade demonstration zone specializing in cross-border data in Lanzhou New Area to highlight the distinctive role of the “Belt and Road” platform for opening up to the West. (The General Office of the Provincial Government, the Provincial Development and Reform Commission, the Provincial Department of Finance, and other relevant units shall be responsible according to their respective duties.)

(16) Strengthen data security safeguards. Strengthen the implementation of data security protection responsibilities; fully implement laws and regulations such as the National Cybersecurity Law, the Data Security Law, the Personal Information Protection Law, and the Regulations on the Security Protection of Critical Information Infrastructure; and enhance the classification and grading of data protection, personal information protection, and full lifecycle security management. Develop guidelines for the protection of important and core data to ensure their effective protection.Enrich the range of data security products and strengthen inter-departmental cooperation on data security. Encourage basic telecommunications enterprises, data security companies, and service providers to research, develop, and promote multi-tiered, specialized, and customized data security products; promote their in-depth application across all industries and sectors; and drive the high-quality development of the data security industry.Develop data security services and encourage data security companies to provide cloud-based security services to effectively enhance data security levels. (Responsibility lies with the Provincial Party Committee’s National Security Office, the Provincial Party Committee’s Cyberspace Administration Office, the Provincial Public Security Department, the Provincial Government General Office, the Provincial Department of Industry and Information Technology, the Provincial Communications Administration, and other relevant units according to their respective duties)

III. Support Measures

(17) Strengthen Organizational Leadership. All localities and departments shall establish and improve coordination mechanisms for the development of data elements, be responsible for researching and deploying relevant work, and coordinate efforts. They shall strengthen supervision, inspection, assessment, and evaluation of the implementation of this plan. Provincial-level industry authorities shall enhance coordination with corresponding national ministries and commissions, and refine implementation measures based on local conditions. Localities shall highlight regional and industrial characteristics, develop distinctive brands for data element application practices tailored to local conditions, and drive the accelerated development of a group of data merchants and third-party professional service providers.

(18) Increase Financial Support. Strengthen financial support for “Data Element ×” initiatives, providing support for key industrial parks and bases, major projects, important platforms, outstanding products and solutions, invention patents, software copyrights, key data technologies, core products, outstanding data service providers, and typical application scenarios. Provide support policies, such as subsidies for data transaction service fees, to eligible entities purchasing data products in accordance with regulations, and explore incentives for the first purchase and first use of data products and services.Coordinate the use of existing industrial project incentive funds, including data and information development funds, to provide financial incentives for eligible “Data Element ×” projects. Leverage the guiding role of existing government investment funds and encourage financial institutions to collaborate with relevant enterprises on data-element-based industrial projects. Make full use of local government bonds, treasury bonds, and corporate bonds to support the construction, operation, and development of data projects. Adopt new mechanisms such as public-private partnerships (PPPs) and government procurement of services to attract social capital into the data development sector.

(19) Emphasize Publicity and Guidance. Strengthen the replication and promotion of outstanding practices from outside the province, promptly identify and document successful data element application practices within the province, and organize publicity through multiple channels to guide society in enhancing data element utilization. Promote the sharing and reuse of outstanding algorithms from various platforms and typical applications across industries. Support local governments, departments, and relevant enterprises in actively applying for national-level policy pilot programs to accelerate innovation in data rights confirmation, data element circulation and trading, and data integration and application models.Encourage all sectors of society and enterprises to actively participate in national-level and industry-specific “Data Element ×” competitions and similar events. Use these competitions to promote application and learning, facilitate the commercialization of competition outcomes, incubate new technologies and products, foster new models and business formats, and improve the data element ecosystem.