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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
Core Viewpoint - The State-owned Assets Supervision and Administration Commission (SASAC) is leading initiatives to develop a trusted data space system within state-owned enterprises (SOEs), aiming to enhance the value realization of data elements through pilot projects and policy support [1][6]. Group 1: Policy and Initiatives - The SASAC has issued a notice to initiate pilot projects for the construction of trusted data spaces, with 14 SOEs taking the lead [1]. - The issuance of the "Opinions on Promoting the Development and Utilization of Enterprise Data Resources" in December 2024 provides a regulatory framework for the open circulation of data [2]. - Multiple departments are spearheading various pilot projects related to data asset management and the innovative development of trusted data spaces, with SOEs playing a significant role [2]. Group 2: Data Resource Management - As of now, SOEs have formed four industry data industry communities, with significant progress in data asset management [3]. - The State-owned Assets Supervision and Administration Commission is promoting the construction of high-quality data sets across ten sectors, with the first batch of 30 exemplary construction results already published [5]. - Many SOEs have established large-scale data infrastructures, such as the National Pipeline Network Group's data platform, which aggregates over 10 billion core data entries [5]. Group 3: Challenges and Recommendations - Experts highlight ongoing challenges in realizing the value of data elements, including issues related to compliance, costs, and benefits [8]. - The lack of active market pricing and the high initial investment required for data transactions are significant barriers for enterprises [8]. - Recommendations include the need for clearer operational guidelines on data rights confirmation and the establishment of unified standards for data valuation and circulation [9].
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]