To unlock idle public data across various departments and sectors, accelerate the release of data element value, and better empower the province's intelligent economy, the General Office of the Anhui Provincial People's Government recently issued the Three-Year Action Plan for Implementing Public Data Development and Utilization in Key Areas to Promote the Intelligent Economy (2026鈥?028). The main contents are as follows.
The work targets focus on eight key sectors: advanced manufacturing (represented by automobiles), finance, logistics, healthcare, science, energy, water resources, and emergency management. A three-year campaign for public data development and utilization will be organized, cultivating a batch of typical data-use scenarios and exploring feasible paths for scenario-based development, market-oriented utilization, and commercial operation of public data. By 2028, the goals include: approximately 50 high-value data-use scenarios, around 30 high-quality datasets, about 200 data products and services, and more than 30 replicable and promotable industry solutions.
Launching the "Collection, Governance, and Utilization" Campaign for Public Data in Key Areas
01 Advanced Manufacturing (Automotive) Sector
鈥?Cultivate typical scenarios for intelligent connected vehicles.
鈥?Improve the automotive data product development system.
鈥?Promote commercial application of automotive industry data.
鈥?Strengthen automotive data security protocols.
鈥?Expand data empowerment in advanced manufacturing.
02 Finance Sector
鈥?Create credit financing scenarios across all domains.
鈥?Enhance credit data collection and governance.
鈥?Deepen credit data development and application.
03 Logistics Sector
鈥?Develop innovative scenarios for digital-intelligent logistics.
鈥?Promote the construction of a provincial logistics data platform.
鈥?Explore market-oriented operation of logistics data.
04 Healthcare Sector
鈥?Build smart healthcare demonstration scenarios.
鈥?Establish a provincial health information platform for all citizens.
鈥?Strengthen the development and utilization of data from the "three medical" fields.
鈥?Explore paths for medical data operation and sharing.
05 Science Sector
鈥?Construct intelligent scenarios for scientific research.
鈥?Upgrade the scientific intelligence public service platform.
鈥?Enhance full-chain scientific data collection and governance.
鈥?Promote cross-regional and cross-domain application of scientific data.
06 Energy Sector
鈥?Build smart energy management and control scenarios.
鈥?Strengthen energy data collection and governance.
鈥?Promote the release of energy data value.
07 Water Resources Sector
鈥?Cultivate smart water conservancy scenarios.
鈥?Improve the water monitoring and perception system.
鈥?Perfect the trading system for soil and water conservation products.
鈥?Promote iterative application of water models.
08 Emergency Management Sector
鈥?Create key scenarios for emergency security.
鈥?Build a data resource system for emergency management.
鈥?Facilitate scenario-based application of emergency management data.
Six Major Promotion Measures
Strengthen Organizational Implementation
The Provincial Development and Reform Commission, together with the Provincial Data Resources Bureau, will provide overall guidance for the construction of data-use scenarios and coordinate to resolve related bottlenecks. Orderly promote the cultivation and opening of data-use scenarios in agriculture, cultural tourism, urban renewal, and other fields.
Improve Data Supply Quality and Efficiency
Plan and build a direct data access zone for vertically managed systems, and explore establishing a mechanism linking public data development and utilization with operation and maintenance funds. Except as otherwise provided by laws, administrative regulations, and decisions of the State Council, public data shall in principle be open, shared (returned to grassroots levels), or authorized for operation.
Expand Investment in Data Governance and Utilization
Strengthen fiscal and financial coordination, guide increased investment from social capital. Provide governance support to data source units as needed, encourage eligible cities to establish funds for innovative development of data elements. Strengthen the coordinated management of data assets in administrative and public institutions.
Innovate Data-Use Models
Establish a collaborative mechanism of "demand raised by data users, governance by data source units, and support by third-party service agencies" to develop high-quality data products and services. Plan and build innovation laboratories for data-use scenarios. Support large model training, inference, and intelligent agent development.
Build a Solid Security Barrier
Formulate and improve data security management regulations, and enhance compliance governance capabilities for large models and intelligent agents. Implement security risk reviews for public data development and utilization, and improve risk identification and control. Promote the implementation of data security protection responsibilities, and facilitate and regulate cross-border data flows.
Foster a Data-Use Atmosphere
Create the "Wan Data Mall," attract and cultivate high-quality data merchants, and build the "Data Micro-Merchant" brand. Conduct open evaluations of data-use scenario construction to improve the quality and efficiency of public data supply, development, and utilization. Publish a white paper on public data scenario applications, and strengthen the promotion of typical cases and commercial solutions.
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