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试点密集落地 央国企数据要素价值化破题
Zheng Quan Shi Bao· 2025-12-25 18:45
国务院国资委最新披露信息显示,截至目前,国资央企已经组建了4个行业数据产业共同体。 继11月底国家数据局组织12家央企牵头开展首批国有企业数据资源开发利用试点工作后,近期国务院国 资委印发《关于开展国资央企领域可信数据空间系统建设试点工作的通知》,14家央企牵头首批国资央 企领域可信数据空间建设试点。 央国企作为数据要素市场化配置改革的"排头兵",正以试点先行、场景赋能、技术筑基的多元路径,推 动数据要素价值化从政策构想迈向实践突破,破题成效初显,起势态势明朗。接受证券时报记者采访的 专家认为,推动产业行业数据要素价值更好实现,仍需从政策支持、能力建设、生态完善三方面持续发 力,破解合规、成本与收益等三重挑战。 央国企带头打破 产业行业"数据墙" 2024年12月,《关于促进企业数据资源开发利用的意见》印发,为企业数据的开放流通提供了制度指 引。此后,多个部门分别牵头数据资产全过程管理、国有企业数据资源开发利用、可信数据空间创新发 展等多个专项试点,在这些试点中均能看到央国企身影。 "由央国企带头释放数据资源价值,既是其发展的需要,也是履行社会责任的体现。" 原海南省大数据 管理局局长董学耕对证券时报记者表示 ...
国家数据局部署国企数据效能提升行动 12家央企首批试点牵头
Zhong Guo Jing Ji Wang· 2025-11-26 07:23
Core Insights - The National Bureau of Statistics of China is implementing a data efficiency enhancement initiative for state-owned enterprises, with 12 central enterprises as pilot leaders, aiming to improve data governance and resource utilization by 2027, benefiting over 100,000 SMEs [1][2] Group 1: Data Utilization and Management - State-owned enterprises are identified as key players in the development and utilization of data resources, with a focus on enhancing core competitiveness and promoting collaborative innovation in the industrial chain [1][2] - The initiative includes 10 key tasks centered around innovating data management mechanisms, fostering the data industry, enabling industrial transformation, and optimizing the innovation environment [2] Group 2: Collaboration and Innovation - The initiative encourages collaboration among state-owned enterprises and their partners across various sectors, including energy, transportation, and agriculture, to create a trusted data space and promote data sharing and innovation [2] - The National Oil and Gas Pipeline Group has created a comprehensive data network, aggregating over 10 billion core data entries, significantly improving data quality and operational efficiency in the natural gas supply chain [3] Group 3: Technological Integration - China Southern Power Grid has established a trusted data space that integrates advanced technologies like blockchain and privacy computing, enhancing data flow and collaboration among over 370 ecosystem partners [4] - China Machinery Industry Group has developed an "Agricultural Machinery Cloud" that connects the entire lifecycle of agricultural machinery, processing over 10 billion data entries daily [5] Group 4: Data-Driven Applications - China Mobile has created a big data platform that processes over 2000PB of core data, improving customer service and operational efficiency across various scenarios [6] - The China Automotive Technology and Research Center is focusing on carbon footprint accounting and data interoperability across the automotive supply chain, enhancing international rule recognition [6] Group 5: Future Directions - The initiative emphasizes the importance of enterprises taking the lead in data utilization, fostering multi-party collaboration, and integrating diverse data sources to drive industrial transformation and improve public welfare [6]