公共数据资源授权运营模式

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多地发布新政发力挖掘公共数据价值
Zheng Quan Ri Bao· 2025-08-29 16:17
Core Viewpoint - The development and utilization of public data resources is a crucial initiative for promoting the digital economy, with various regions in China implementing new policies to explore and maximize the value of public data [1][2][3]. Group 1: Policy Initiatives - Multiple regions, including Beijing, Shanghai, Shanxi, Zhejiang, and Xinjiang, have introduced new policies regarding public data resources since the third quarter [1]. - For instance, Xinjiang's Digital Development Bureau released the "Implementation Rules for Public Data Resource Registration (Trial)" on August 21 [1]. - The initiatives aim to standardize public data resource registration, enhance data quality, and create unified data infrastructure [1]. Group 2: Expert Insights - Experts believe that the development and utilization of public data resources is a systematic project involving institutional construction, pricing formation, and revenue distribution [1]. - The need for significant investment in public data resource development is emphasized, along with the importance of clarifying application scenarios to improve resource allocation efficiency [1][2]. Group 3: Authorization and Operational Models - The authorization and operation of public data resources are key components in advancing their development [3]. - The central government has provided clear guidelines for authorization models, including overall authorization, sector-specific authorization, and scenario-based authorization [3][4]. - Each model has distinct advantages and should be selected based on local conditions to better support industrial upgrades and economic development [4]. Group 4: Future Directions - There is a call for further optimization of public data products and service quality, as well as the exploration of effective revenue distribution mechanisms [4]. - The application of authorized public data resources has already shown benefits in areas such as precision medicine, low-altitude inspection, and smart agricultural construction [4].