对于国有企业而言，其持有的数据可能涵盖多元数据类型，既有企业数据也有公共数据，且企业数 据与公共数据之间无明确清晰的边界划分，导致在公共数据确认上存在难点。在此次公交数据治理、登 记过程中，淳科公交通过数据脱敏、标注、整合、分析等手段，使其符合相关国家标准，最终确认以公 共数据资源进行登记及纳入授权运营。 建发集团投资发展部副部长杨宇表示，此次公交公共数据成功实现资产入表，标志着从数据资源到 数据资产的"蝶变"，企业不仅能获得未来数据运营分成的经济效益，也可作为有效凭证，为公司后期获 得融资、信贷等金融服务拓展市场化渠道。 近年来，国家、省市相继出台一系列关于公共数据授权运营的文件政策，指明了释放公共数据要素 价值的方向。高淳区数据局相关负责人表示，公共数据作为国家基础性战略性资源，其开发利用的深度 广度，是深化数据要素市场化改革的风向标，对于经营主体参与数据要素市场、公共数据持有部门供数 的积极性、主动性都将产生深远影响，此次高淳公交数据案例有利于促进南京数据要素市场培育，为高 淳区域经济发展注入新动能。 记者近日从高淳区数据局获悉，高淳区建发集团下属企业南京淳科公交有限公司（以下简称：淳科 公交）归集的公 ...

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates 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 urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data [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**: Urban areas face challenges in data resource development and utilization, which the trusted data space aims to address by providing a secure and compliant environment for data circulation [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation [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 trusted data circulation infrastructure [16] Industry Chain and Ecosystem - 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 technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers leading the market [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data connectivity, enhancing government services and decision-making [27] - **Inclusive Finance**: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models for inclusive finance [30] Case Studies - **Zhangjiakou Trusted Data Space**: This initiative employs a "one space, four platforms, one system" architecture to support the secure circulation of public and social data [33][35] - **Shanghai Trusted Data Space**: This project leverages blockchain technology to meet the complex data needs of a megacity, facilitating the secure and efficient use of data [37][39] Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency within urban trusted data spaces, transitioning from manual to automated governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]

Core Points - The article emphasizes the importance of enhancing the digital business environment to stimulate the innovation vitality of enterprises, as highlighted in the 20th Central Committee's Fourth Plenary Session [1] Group 1: Digital Business Environment Improvements - The digital business environment in China has been continuously optimized, with significant reductions in approval times and simplification of processes through initiatives like "one network for all services" and "cross-province services" [1] - A nationwide integrated government service platform has been established, covering 31 provinces and 46 State Council departments, achieving standardization of 5.21 million service items and over 36,000 high-frequency service applications by June this year [1] - High-quality data sets traded across regions have reached nearly 4 billion, with a total scale of 246PB, providing strong institutional support for enterprise innovation [1] Group 2: Regional Initiatives - Beijing has established a "data zone" model to open public data resources to tech companies, supporting AI research [2] - Chongqing has launched the "E Enterprise Office" mini-program to streamline business registration and related processes, significantly improving processing times [2] - Zhejiang Province has achieved a 98% rate of "one network for all services" through the "Zheli Ban" ecosystem, with an intelligent reporting system reducing manual input by 70% [2] - Foshan in Guangdong has implemented the "Chuangxiangyi" integrated service model to enhance policy access for tech enterprises, yielding positive results in optimizing the digital business environment [2] Group 3: Future Directions - The focus will be on problem-oriented approaches and implementing concrete measures to enhance the digital government, transitioning from "able to handle" to "easy to handle" and "intelligent handling" [3] - There is a push for a unified electronic certificate database for enterprises, promoting "certificate-free" and "seamless" services [3] - The establishment of a data property rights system and a transparent data sharing standard is essential to break down barriers between government, market, and society [3] Group 4: Legal and Regulatory Framework - The article calls for the acceleration of the supporting mechanisms for the "Promotion of Private Economy Law" and the establishment of regulations for new technologies and industries [4] - Measures to combat digital monopolies and unfair competition are necessary, alongside the protection of commercial secrets and algorithms [4] - A new regulatory mechanism suitable for the digital economy is to be established, promoting flexible enforcement models like "sandbox regulation" to encourage innovation while managing risks [4]

Core Viewpoint - The urban trusted data space is a key infrastructure led by the government to promote the development and utilization of urban data resources, serving as a bridge between data supply and application [1][2]. Development Drivers Policy - Since the introduction of the data element market reform in 2019, China has implemented a series of top-level designs and strategic plans to encourage the creation of urban trusted data spaces, with the first batch of 13 pilot cities announced [4][5]. Technology - Privacy computing and blockchain technology are crucial for solving data sharing issues, enabling data owners to share data confidently and willingly [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 of Urban Trusted Data Space - The urban trusted data space aims to address 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, enabling diverse applications such as government services and inclusive finance [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 critical role in data circulation and compliance [21]. Competitive Analysis - In the technology service sector, comprehensive solution providers with ICT backgrounds, such as Inspur Cloud and Huawei Cloud, are leading the market, while specialized firms focus on specific verticals [24]. Application Scenarios Government Services - The urban trusted data space facilitates inter-departmental data sharing, enhancing government efficiency through initiatives like "one network for all services" [27]. Inclusive Finance - By integrating government public data with financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive finance [30]. Case Studies Zhangjiakou Trusted Data Space - The Zhangjiakou trusted data space employs a "one space, four platforms, one system" architecture to support secure data circulation and enhance public data value [33][35]. Shanghai Trusted Data Space - Shanghai's trusted data space, leveraging blockchain technology, aims to meet the complex data needs of a mega city, facilitating secure and efficient data utilization [37][39]. Technical Trends - AI technology is becoming a key driver for enhancing data governance efficiency, transitioning from manual governance to automated and intelligent strategies [42]. Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45].

Core Insights - Changsha Digital Group has achieved significant milestones in its first year, including the development of 73 data products and the completion of 41 digital projects with a total investment of 472 million yuan, saving 148 million yuan in public funds [2][4][5] - The group aims to serve as the core engine for the construction of "Digital Changsha," focusing on data market activation and the integration of digital and real economies [3][4] Group Achievements - The establishment of a public data authorization operation platform, which is the first of its kind in the province, has facilitated the efficient flow of data assets and the creation of new value channels [9] - The group has launched various digital service platforms, such as a smart elderly care platform that has served over 123,000 people and processed 285,000 orders [12] Innovation and Collaboration - The group has implemented a city management and operation safety intelligent system in collaboration with Huawei, which has successfully identified over 10,000 risk events since its launch [7] - Changsha Digital Group has formed partnerships with over 70 strategic partners, including government agencies and technology companies, to enhance its digital ecosystem [19] Future Goals - By the end of 2025, the group aims to solidify its operational foundation through a "platform + value" strategy, and by 2028, it plans to enhance its industry influence and scale [21] - The group is committed to becoming a central hub for data elements in Central China, promoting a new model of smart city development [21]

Core Insights - The establishment of Changsha Digital Group marks a significant step in the city's digital economy strategy, focusing on data marketization and innovative practices to drive the development of "Digital Changsha" [1][2] Group Overview - Changsha Digital Group has integrated over 200 billion public data entries from 66 municipal departments and launched 73 data products, enhancing the value realization of 23 scenario products in finance, healthcare, and talent services [1] - The group operates 20 subsidiaries covering key areas such as digital government, public data operations, state-owned asset transactions, enterprise digital transformation, talent services, digital industry investment, and urban safety operations [2] Innovation and Governance - The group aims to break down data silos among departments, transitioning from fragmented construction to integrated operations, exemplified by the smart city management and operation safety system developed in collaboration with Huawei [3] - The system has achieved over 10,000 risk event identifications with an instant handling rate exceeding 95%, shifting urban safety governance from reactive to proactive [3] Data Asset Management - Changsha Digital Group has established the province's first public data product production line, facilitating the compliant and efficient flow of data assets [6] - The group has successfully launched the first county-level government data product in the province and completed the first instance of public transport data asset valuation in the country, setting a precedent for public data monetization [6] Ecosystem Development - The group has built a cross-scenario, cross-field, and cross-regional data circulation network, collaborating with over 20 provincial and municipal data groups to create a city-level data operation network [7] - The group is actively involved in national initiatives and policies aimed at data element marketization, positioning itself as a central hub for data elements in Central China [7] Social Impact and Services - Changsha Digital Group has developed various digital service platforms to enhance public welfare, such as a smart elderly care platform that has served over 123,000 individuals and facilitated 285,000 service orders [8] - The digital talent integration platform addresses employment challenges by providing comprehensive services from recruitment to onboarding [8] Collaborative Future - The group emphasizes open cooperation, having established a public data operation center that has attracted 100 ecosystem partners, fostering a collaborative environment for data resource sharing [12] - The group has initiated projects like the digital twin foundation to support urban management and safety systems, integrating data from multiple departments [12] Future Goals - By the end of 2025, the group aims to solidify its operational foundation through platformization and value realization, with plans to enhance its industry influence and scale by 2028 [14] - The vision includes empowering various sectors and serving the community, positioning Changsha as a model for data element circulation and a new smart city [14]

Core Viewpoint - The urban trusted data space is a key infrastructure led by the government to promote the development and utilization of urban data resources, serving as a bridge between data supply and application [1][2]. Development Drivers Policy - Since the introduction of the data element market reform in 2019, China has implemented a series of top-level designs and strategic plans to encourage the creation of urban trusted data spaces, with the first batch of 13 pilot cities announced [4][5]. Technology - Privacy computing and blockchain technology are crucial for solving data sharing issues, enabling data owners to share data confidently and willingly [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 of Urban Trusted Data Space - The urban trusted data space aims to address issues such as the lack of trust mechanisms and inefficient data circulation, thereby enhancing urban governance and promoting the modernization of city management [11]. Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and capabilities for secure data circulation, enabling diverse applications such as government services and inclusive finance [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 critical role in data circulation and compliance [21]. Competitive Analysis - In the technology service sector, comprehensive solution providers with ICT backgrounds, such as Inspur Cloud and Huawei Cloud, are leading the market, while specialized firms focus on specific verticals [24]. Application Scenarios Government Services - The urban trusted data space facilitates inter-departmental data sharing, enhancing government efficiency through initiatives like "one network for all services" [27]. Inclusive Finance - By integrating government public data with financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive finance [30]. Case Studies Zhangjiakou Trusted Data Space - The Zhangjiakou trusted data space 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 - Shanghai's trusted data space, leveraging blockchain technology, aims to meet the complex data needs of a mega city, facilitating secure and efficient data flow [37][39]. Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency, transitioning from manual governance to automated and intelligent strategies [42]. Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45].

Core Insights - Data asset securitization is emerging as a crucial financial innovation tool to activate data value and empower the real economy amid the ongoing reform of the national data factor market [1][3] Group 1: Event Overview - The "Data Asset Securitization Innovation Business Exchange Conference" was held in Nanjing, organized by the Jiangsu Data Exchange, gathering government representatives, academic experts, financial institutions, and data asset practitioners to discuss the policy framework, practical paths, and future opportunities of data asset securitization [1][3] - The conference aims to respond to the central financial work meeting's call to "make a significant contribution to digital finance" and implement the National Data Bureau's "Data Factor ×" action plan, promoting the transition of data resources to data assets and capital [3] Group 2: Key Developments - Jiangsu Data Group's General Manager Xu Yanwu emphasized the importance of building a comprehensive service ecosystem for data productization, marketization, and valuation to help enterprises activate data assets [3] - The "Data Asset Value Innovation Laboratory" was officially launched, focusing on key aspects such as data asset valuation, credit rating, and securitization product design to provide practical support for data asset securitization [3][6] - Strategic data merchants, including Guizhou Data Treasure and Deloitte Consulting, joined the Jiangsu Data Exchange, enriching the data ecosystem and providing professional support in data consulting, governance, evaluation, compliance, and financial services [3] Group 3: Expert Insights - Experts shared insights on data asset securitization, discussing policy frameworks, international experiences, and practical case studies, with notable presentations on the trillion-dollar data asset market and the exploration of data value in the AI era [5] - A roundtable forum featured discussions on data asset evaluation, legal compliance, and product innovation, with a consensus on the need to build a collaborative ecosystem involving government, industry, academia, research, and finance [6] Group 4: Future Directions - The Jiangsu Data Exchange aims to enhance cooperation across regions and sectors, focusing on improving data trading rules, data property registration, infrastructure for data circulation, and innovation in data assetization [6]

Group 1 - The State Council has issued a plan for pilot reforms in market-oriented allocation of factors in 10 regions, which is a significant step towards building a unified national market and promoting high-quality economic development [1] - The reform focuses on market-oriented approaches for various factors including technology, data, land, human resources, and capital, with technology and data being key areas for future exploration [1] Group 2 - New technologies, particularly artificial intelligence (AI), are seen as crucial for developing new production methods and enhancing total factor productivity, with the global AI industry projected to reach $638.2 billion in 2024 [2] - The AI sector is expected to see record venture capital investments of $100.4 billion in 2024, indicating a significant growth trajectory [2] - The evolution of AI models, supported by advancements in knowledge engineering and algorithms, is facilitating enterprise-level innovation across various industries [2] Group 3 - The State Council's opinion on implementing "Artificial Intelligence +" aims to integrate AI deeply into various sectors, reshaping production and living paradigms, and fostering a new intelligent economy and society [4] - The focus is on creating a collaborative environment between AI and other factors like labor and capital to avoid significant structural employment impacts [4] Group 4 - Data factor marketization is emerging as a new area for enhancing economic vitality, with increasing attention on data's strategic and economic value [5] - The data industry chain, encompassing collection, storage, processing, circulation, analysis, and application, is becoming a priority for development globally [5] - China is actively constructing a national strategic development plan around data, focusing on open sharing, rights protection, and marketization of data factors [5] Group 5 - In 2024, China's data production is expected to reach 41.06 zettabytes, a 25% increase year-on-year, while data storage is projected to total 2.09 zettabytes, growing by 20.81% [6] - The number of public data open platforms at the municipal level has increased by 7.5%, with a 7.1% rise in the volume of open data [6] - The focus on data marketization includes improving legal frameworks, addressing regional disparities, and enhancing the integration of data with AI and other factors to improve economic and social development [6]

Group 1 - The State Council has issued a plan for pilot reforms in market-oriented allocation of factors in 10 regions, which is a significant step towards building a unified national market and will provide new momentum for high-quality economic and social development [1] - The reform focuses on market-oriented approaches for typical factors such as technology, data, land, human resources, and capital, with technology and data being key areas for future exploration [1] Group 2 - New technologies, particularly artificial intelligence (AI), are seen as crucial for developing new production methods and enhancing total factor productivity, with the global AI industry expected to reach $638.2 billion in 2024 [2] - The AI sector is projected to attract a record $100.4 billion in venture capital in 2024, indicating a significant investment trend [2] Group 3 - The State Council's opinion on implementing the "Artificial Intelligence +" initiative aims to promote deep integration of AI across various sectors, leading to a revolutionary shift in productivity and production relations [3] - The initiative emphasizes the need for collaboration between AI and other factors like labor, capital, and land to create a win-win scenario, while also addressing potential structural impacts on employment [3] Group 4 - The market-oriented reform of data factors is recognized as a new "blue ocean" for enhancing economic vitality, with increasing attention on data ownership, governance, and security [4] - The data industry chain, including data collection, storage, processing, circulation, analysis, and application, is becoming a focal point for development globally [4] Group 5 - In 2024, China's data production is expected to reach 41.06 zettabytes (ZB), a 25% increase year-on-year, while total data storage is projected at 2.09 ZB, up 20.81% [5] - The active data volume from enterprises has increased by 22.73%, with active data accounting for 62.04% of total storage, highlighting the growing importance of data in the economy [5] - The reform process will focus on improving top-level design, legal frameworks, and standards, while also addressing regional disparities in data resources and enhancing the integration of data with AI and other factors [5]