县域数据资产运营

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全球数据资产理事会:2025年县域数据资产运营蓝皮书
Sou Hu Cai Jing· 2025-05-21 02:19
Core Insights - The "2025 County Data Asset Operation Blue Book" emphasizes the importance of data as a key element for economic and social development in counties, highlighting its potential to drive economic transformation, enhance governance efficiency, and foster a data ecosystem [1][17]. Group 1: Core Value and Strategic Significance of County Data Assets - Data is recognized as a critical factor for county economic and social development, encompassing various resources such as government, enterprise, social, and IoT data [1]. - Integrating and mining data can facilitate economic upgrades, improve governance effectiveness, and create a data ecosystem that attracts data businesses and cultivates talent [1]. Group 2: Key Infrastructure and Application Scenarios - Strengthening infrastructure such as data storage and computing centers is essential, with examples like Pingchang County enhancing smart city capabilities [2]. - Scenario-based applications include integrated monitoring systems for governance and social management platforms that optimize event handling processes [2]. Group 3: Marketization Pathways and Institutional Guarantees - The path to data assetization involves data rights confirmation, registration, and trading, as demonstrated by Feixi County's "Smart Feixi" platform receiving bank credit [3]. - Establishing comprehensive compliance review and management systems is crucial for ensuring safe data circulation, as seen in various counties implementing data security standards [3]. Group 4: Challenges and Opportunities - Challenges include inconsistent data quality, security and privacy risks, and a shortage of skilled personnel, which hinder the full realization of data asset value [4]. - Opportunities arise from policy support, technological advancements, and the potential of county markets, such as the unique data-driven business models emerging in rural revitalization [4]. Group 5: Practical Cases and Future Outlook - Successful models include the establishment of integrated digital economy platforms and the use of traffic data assets for public enterprise management [5]. - Future directions involve accelerating data assetization, enhancing policy frameworks, and expanding applications in smart cities, healthcare, and education [5].