Core Insights - The core viewpoint of the articles emphasizes the transition of China's data element market from "resource accumulation" to "efficient utilization," with the establishment of trusted data spaces as a key infrastructure to address industry challenges such as "data silos" and "trust deficits" [1] Group 1: Trusted Data Space Development - The National Data Bureau's action plan aims to establish over 100 trusted data spaces by 2028, creating a widely interconnected data ecosystem that promotes resource aggregation and value co-creation [1] - Beijing Electronic Smart Technology Co., Ltd. (North Electric Smart) has emerged as a significant player in the trusted data space sector, leveraging technological innovation and practical breakthroughs [1][2] Group 2: Product Validation and Compliance - North Electric Smart's "Red Lake Trusted Data Space v2.0" has successfully passed authoritative testing by the China Electronics Technology Standardization Institute, meeting national standards for compliance and advanced capabilities in data circulation infrastructure [2] - The testing covered three core modules: service platform, access connectors, and security requirements, with the product achieving full compliance in key areas such as connector compatibility and security protection [2] Group 3: Technical Architecture and Solutions - The "Red Lake Trusted Data Space" is designed to address three core industry pain points: trust deficits, computational power mismatches, and capability gaps for small and medium enterprises, through a solution that integrates security, efficiency, and cost [3] - The product employs a dual-loop design combining technology and institutional frameworks, utilizing Trusted Execution Environment (TEE) and federated learning to ensure data is "available but not visible," while blockchain technology records all computational activities [3] Group 4: Industry Applications and Impact - The technical architecture includes a trusted foundation, two major system platforms, and multiple industry adaptations, facilitating cross-institutional data collaboration and lifecycle management [4] - The product has penetrated various sectors, including healthcare and industrial applications, significantly improving efficiency and data sharing capabilities [4][5] - In healthcare, collaboration with a top-tier hospital has led to the establishment of a trusted data space that has improved diagnostic efficiency and reduced clinical workload, while in the industrial sector, it has enhanced production efficiency by over 30% [5]

Core Viewpoint - The inclusion of Inspur Smart Technology (Tianjin) Co., Ltd. in the "2025 Tianjin Trusted Data Space Innovation Development Pilot List" highlights the company's recognized technical strength and practical ability in trusted data circulation and market-oriented resource allocation [1][3]. Group 1 - The pilot program is a significant initiative for deepening the market-oriented reform of data elements in Tianjin, focusing on innovative application scenarios and sustainable operational models across multiple industries and enterprises [3]. - The program aims to break down data circulation barriers, ensure secure and orderly data flow, and fully unleash the core value of data elements, contributing to the high-quality development of Tianjin's digital economy [3]. - Inspur Smart Technology, in collaboration with partners like Tianjin Dongjiang Starlink Digital Technology Co., Ltd., will jointly carry out the pilot construction of enterprise-level trusted data spaces [3]. Group 2 - The selection as a pilot is a milestone for Inspur Smart Technology and Inspur Cloud, marking a collaborative effort to expand the data element market [3]. - The company plans to deepen cooperation with various partners to explore diverse application scenarios for trusted data spaces and actively seek innovative paths for data assetization and capitalization [3]. - The initiative aims to contribute to building a healthy, prosperous, and secure data element market ecosystem in Tianjin [3].

Core Viewpoint - The Ministry of Industry and Information Technology, along with six other departments, has issued guidelines for the construction of a product carbon footprint factor database, emphasizing the application of innovative technologies to enhance efficiency and quality in data collection [1] Group 1: Technological Innovation - The guidelines encourage the use of artificial intelligence and other advanced technologies to improve the efficiency and quality of the product carbon footprint factor database [1] - There is a focus on enhancing the representativeness and reliability of carbon footprint factor data through innovative technological applications [1] Group 2: Data Solutions - The exploration of trustworthy data spaces and other solutions is encouraged for application scenarios in the construction of the product carbon footprint factor database [1] - The guidelines promote pilot projects to test and implement these innovative data solutions [1]

Core Viewpoint - The establishment of a national product carbon footprint factor database is aimed at supporting the management system for product carbon footprints, with a goal to be initially constructed by 2027 and fully established by 2030 [1][2]. Group 1: Database Construction - The national product carbon footprint factor database will focus on key areas such as basic energy, bulk commodities, raw materials, and transportation, facilitating the management of carbon footprint factors throughout the product lifecycle [1][2]. - The database will include a mechanism for data sharing and integration, allowing various stakeholders to submit high-quality carbon footprint factor data, ensuring traceability and regular updates [2][4]. - The construction of the database will encourage the use of advanced technologies like artificial intelligence to enhance efficiency and data quality [5]. Group 2: Data Quality and Standards - The guidelines emphasize the importance of data quality evaluation based on representativeness, scientific rigor, and traceability, ensuring that the data reflects the actual energy and industrial conditions in China [4][6]. - The database will include comprehensive information on product carbon footprint factors, lifecycle models, and unit process data, adhering to relevant national and international standards [4][5]. - The establishment of a robust standard system for carbon footprint accounting is underway, with over 70 national standards and more than 100 group standards in development by the end of 2024 [5][6]. Group 3: Industry Implications - The product carbon footprint is a critical indicator for measuring the green and low-carbon levels of production enterprises and products, increasingly influencing international trade policies and market access rules [5]. - The ecological environment department is accelerating the research on carbon footprint factors for key sectors such as coal, electricity, oil, gas, steel, cement, and petrochemicals, aiming to enhance collaborative pollution reduction and carbon reduction efforts across the industry [6].

Core Insights - The urban trusted data space is a government-led data infrastructure that promotes the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - **Policy**: The establishment of a trusted data space is encouraged through a series of top-level designs and strategic plans aimed at facilitating the compliant and efficient circulation of data. The "Trusted Data Space Development Action Plan (2024-2028)" supports the creation of urban trusted data spaces, with 13 pilot cities already announced [4][5] - **Technology**: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6] - **Demand**: With China's data production expected to exceed 40ZB by 2024, the urban trusted data space is essential for enhancing urban governance efficiency by integrating and utilizing public data resources [8] Value Proposition - The urban trusted data space aims to resolve issues such as the lack of trust mechanisms and inefficient circulation in urban governance, thereby enhancing the efficiency of public data utilization and supporting modern urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and capabilities for secure data circulation, including secure storage, encrypted transmission, and identity management [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a reliable data circulation infrastructure [16] Industry Chain and Players - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technology service sector, comprehensive and specialized firms compete, with ICT background cloud service providers leading the market due to their integrated capabilities [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data sharing, enhancing government services and decision-making processes [27] - **Inclusive Finance**: By integrating public and financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive financial services [30] Case Studies - **Zhangjiakou Trusted Data Space**: This platform employs a "one space, four platforms, one system" architecture to support secure data circulation and enhance public data utilization [33][35] - **Shanghai Trusted Data Space**: Leveraging blockchain technology, this space addresses the complex data needs of a megacity, facilitating the secure and efficient flow of data across various sectors [37][39] Trends and Future Directions - The integration of AI in data governance is expected to enhance the efficiency of data management, transitioning from manual to automated processes [42] - The urban trusted data space is currently in a pilot phase, with plans for nationwide promotion and the establishment of a cohesive ecosystem across regions [45]

专题：2025中国企业竞争力年会 "2025中国企业竞争力年会"于12月9日至10日在北京举行。中经传媒智库特聘研究员、道衍数科（杭 州）联合创始人梁超杰，华科融资租赁有限公司常务副总裁杨星统一股份总经理，统一石化CEO李嘉， 深圳国家高技术产业创新中心大数据平台与信息部部长、中国科学技术情报学会创新情报专业委员会主 任委员卢春江， 景区交易数据要素化文化和旅游部技术创新中心主任、票付通创始人CEO苏万生， 北 京清竞数智科技有限公司CTO王吴越等共同探讨"数据要素市场如何赋能千行百业"。 王吴越强调，数据供给的核心是适配人工智能发展需求，"当前数据热点已从传统数据库转向人工智能 原生数据（AINet），供得出的先决条件是将数据加工为标准化高质量数据集"。他介绍，团队通过参与 国家数据局高质量数据集评测平台建设、与深圳数据交易所合作可信数据空间项目，实现了大模型语料 训练数据的合规交付，而可信数据空间技术则成为加速数据流通的关键工具。在政务数据应用中，其技 术支撑已落地海淀区公共数据智能体评测场景，验证了标准化数据与技术工具的协同价值。 票付通苏万生聚焦文旅场景的公共数据应用痛点，分享了特殊人群优惠购票的数据 ...

Core Insights - The automotive industry is undergoing a digital transformation where data is becoming a crucial production resource, necessitating the establishment of a trustworthy data foundation to enhance data security and facilitate efficient data circulation [1] - The "2025 Automotive Digital Ecosystem Conference" held in Tianjin focused on the release of results related to a trustworthy data space in the automotive sector, discussing technical pathways for secure data flow and collaborative ecosystem building [1] Group 1: Conference Highlights - The conference featured a main forum and four sub-forums, addressing key pain points and practical needs in the automotive industry's digital transformation [1] - The event was attended by nearly 400 representatives from government departments, automotive supply chains, energy, telecommunications, insurance, and academic institutions, marking a significant step towards practical implementation of trustworthy data spaces in the automotive sector [7] Group 2: Trustworthy Data Space Initiatives - The China Automotive Technology Research Center announced its commitment to building a national-level trustworthy data space and infrastructure, focusing on self-controlled infrastructure, cross-domain value integration, and a shared industrial framework [2] - The unveiling of the "Automotive Industry Trustworthy Data Space Platform" aims to establish a national data infrastructure and public service platform for the automotive industry, promoting digital and green development [3] Group 3: Key Use Cases - The conference introduced five major use cases for the trustworthy data space, including the establishment of an international digital ecosystem for battery ID management, which involves 13 electric vehicle and battery manufacturers [4] - A collaborative initiative was launched to create a combined driving assistance guarantee system, establishing a trust bridge among automotive companies, insurance firms, and users [5] - The integration of market and user data through cross-industry big data applications was discussed, emphasizing the importance of understanding user needs and overcoming data silos [6] Group 4: Insurance and Energy Integration - The automotive and insurance sectors are collaborating to create a digital infrastructure that enhances data sharing and service innovation, aiming to achieve cost reduction, increased coverage, and improved quality [7] - The conference highlighted the significance of building a trustworthy data space for energy supply, focusing on addressing pain points in charging services and promoting cross-industry collaboration [7]

数据确权、入表、定价均应围绕数据产品展开。 近期，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，标志着数据要素市 场化正式从"政策框架搭建"迈入"实体实践破冰"关键阶段。作为国民经济关键领域核心数据持有者、产 业链供应链枢纽，央国企牵头试点不仅关乎自身数据价值释放，更对全行业确立数据治理规范、打通资 产化路径具有全局示范意义。 面对数据要素价值释放中"不敢开放、不愿流通"的核心堵点，以及数据汇聚、价值挖掘等现实难题，证 券时报记者专访了拥有丰富地方大数据治理实践经验的原海南省大数据管理局局长董学耕，深度剖析央 国企试点的独特价值、破局路径与数据要素市场的长远发展方向。 央国企为何成为数据要素市场"先锋队"? 证券时报：数据要素市场化从政策走向实践，央国企作为试点主力，在核心数据禀赋、产业链枢纽地位 上的独特价值是什么?"国家队"引领模式对全国数据资源有序释放有哪些基础作用? 董学耕：在数据要素市场化从政策走向实践的关键转折期，央国企作为试点主力，其独特价值源于我国 经济体制的核心特征，在能源、电力、通信等国民经济关键基础领域，央国企占据主导地位，核心数据 资源也主要由其掌握。因此，由央 ...

Core Viewpoint - The article discusses the transition of data factor marketization from policy framework to practical implementation, highlighting the role of state-owned enterprises (SOEs) as pioneers in this process [1][2]. Group 1: Role of State-Owned Enterprises - SOEs are positioned as key players in the data factor market due to their dominance in critical sectors like energy, electricity, and telecommunications, where they hold significant data resources [2]. - The selection of SOEs as pilot entities aims to leverage their influence to encourage other market participants, including private enterprises, to engage in the orderly release of data resources [2]. Group 2: Balancing Data Security and Value Release - A critical aspect of the pilot program is balancing data security with value release, which is essential for encouraging participation from small and medium-sized enterprises (SMEs) [3]. - The approach involves assessing security needs based on specific application scenarios to ensure that safety measures are appropriately matched to data risk levels [3]. Group 3: Establishing Trustworthy Data Spaces - The concept of a "trustworthy data space" is emphasized as a foundational infrastructure for data circulation, combining technical support with a comprehensive regulatory framework [4][5]. - Two types of trustworthy data spaces are identified: enterprise-level and industry-level, with the former being more practical for current pilot initiatives [5][6]. Group 4: Data Productization and Assetization - The article stresses that data assetization should focus on data products, which are defined by their ability to generate cash flow and provide measurable benefits [8][9]. - The process of data assetization should follow a sequence of productization before moving to assetization, ensuring that data products are linked to stable revenue streams [9]. Group 5: Goals and Feasibility of the Pilot Program - The pilot program aims to engage over 100,000 SMEs by 2027, leveraging the established ecosystems of the participating SOEs to provide data services that meet the needs of various industries [10]. - The initiative is expected to extend its impact beyond directly associated enterprises, encouraging participation from local state-owned enterprises and private companies [10]. Group 6: Long-term Development of the Data Factor Market - For the long-term success of the data factor market, three areas need improvement: institutional development, spatial expansion, and stakeholder collaboration [11]. - SOEs are tasked with leading by example, while local governments and data exchanges play supportive roles in facilitating data product transactions and ensuring policy alignment [11]. Group 7: Integration with Artificial Intelligence - The pilot program also aims to support the development of high-quality industry data sets necessary for training AI models, thereby enhancing the capabilities of technology companies and benefiting SMEs [12].

数据确权、入表、定价均应围绕数据产品展开。 近期，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，标志着数据要素市场化正式从"政策框架搭建"迈入"实体实践破冰"关键阶段。 作为国民经济关键领域核心数据持有者、产业链供应链枢纽，央国企牵头试点不仅关乎自身数据价值释放，更对全行业确立数据治理规范、打通资产化路径具有全 局示范意义。 面对数据要素价值释放中"不敢开放、不愿流通"的核心堵点，以及数据汇聚、价值挖掘等现实难题，证券时报记者专访了拥有丰富地方大数据治理实践经验的原海 南省大数据管理局局长董学耕，深度剖析央国企试点的独特价值、破局路径与数据要素市场的长远发展方向。 央国企为何成为数据要素市场"先锋队"？ 证券时报：数据要素市场化从政策走向实践，央国企作为试点主力，在核心数据禀赋、产业链枢纽地位上的独特价值是什么？"国家队"引领模式对全国数据资源有 序释放有哪些基础作用？ 董学耕： 在数据要素市场化从政策走向实践的关键转折期，央国企作为试点主力，其独特价值源于我国经济体制的核心特征，在能源、电力、通信等国民经济关键 基础领域，央国企占据主导地位，核心数据资源也主要由其掌握。因此，由央国企 ...