Core Insights - Qinghai Transportation Control Information Technology Co., Ltd. has launched two core data products related to logistics financial data services and identity verification for logistics personnel and vehicles, marking a significant step in integrating transportation data into the national data market [1] Group 1: Product Development - The two core data products were developed through the integration of multi-dimensional data resources, including highway passage, ETC issuance, and logistics [1] - The "Logistics Financial Data Service Based on Highway Passage Data" provides credit risk control support for financial institutions, promoting collaborative development between industry and finance [1] - The "Logistics Personnel and Vehicle Identity Verification Data Service Based on ETC Issuance Data" enhances the efficiency of identity verification for transportation entities, improving industry regulatory efficiency [1] Group 2: Market Integration - The products utilize a "data available but not visible" model, ensuring compliant transformation across the entire chain [1] - By achieving standard recognition, rule interoperability, and resource sharing, the company addresses barriers to cross-regional data circulation [1] - The cross-provincial listing of these core data products represents a milestone in the marketization process of transportation data elements, marking a critical transition from specialized cultivation to market circulation [1]

Core Insights - The National Bureau of Statistics released a draft opinion on December 26, 2025, aimed at fostering data circulation service institutions and accelerating the marketization and valuation of data elements [2] - The draft outlines the roles of various data circulation service institutions, including data exchanges, service platform enterprises, and data merchants, to enhance the development and utilization of data resources [2] Group 1: Objectives and Initiatives - The draft emphasizes the need to clarify the functional positioning of different data circulation service institutions to promote collaborative development and attract more participants in data circulation and utilization [2] - It encourages data exchanges to strengthen their comprehensive service functions and establish a full-chain data circulation transaction service system covering aggregation, registration, trading, and delivery [2] - The draft supports data platform enterprises in developing specialized services and innovating new models for data aggregation, processing, and trading [2] Group 2: Regulation and Risk Management - The draft highlights the importance of strengthening management of data exchanges, optimizing their layout, and controlling their numbers while considering integration and optimization [3] - It proposes the establishment of a cross-departmental collaborative regulatory mechanism to combat illegal activities such as fictitious trading and market manipulation [3] - The draft also suggests developing a due diligence exemption management mechanism and an innovative trial-and-error mechanism to encourage exploration within a legally compliant and risk-controlled framework [3]

Core Viewpoint - The National Bureau of Statistics has released a draft opinion on fostering data circulation service institutions to accelerate the marketization and valuation of data elements, inviting public feedback [1] Group 1: Data Circulation Service Institutions - Data circulation service institutions include data exchanges, data circulation service platform enterprises, and data merchants, aimed at promoting the development and utilization of data resources and unlocking the value of data elements [1] - The draft opinion emphasizes the need to clarify the functional positioning of various data circulation service institutions to encourage collaborative development and attract more participants in data circulation [1] Group 2: Development and Innovation - It calls for data exchanges to enhance their comprehensive service functions and establish a full-chain data circulation transaction service system [1] - The draft encourages specialized development of data circulation service platform enterprises, promoting innovative models for data aggregation, processing, and transaction [1] - Support is provided for data merchants to increase the development of data products and services, exploring new circulation and transaction models such as high-quality datasets and data-as-a-service [1]

Core Viewpoint - The National Bureau of Statistics is soliciting public opinions on the draft opinion regarding the cultivation of data circulation service institutions and the acceleration of the marketization and valuation of data elements, emphasizing the need for data exchanges to enhance their comprehensive service functions [1] Group 1 - The draft encourages data exchanges (centers) to strengthen their comprehensive service functions [1] - It promotes the role of data exchanges (centers) in leading and driving the exploration of improved data circulation trading rules and standards [1] - The document highlights the importance of compliance assurance, supply-demand matching, and other foundational functions to enhance the efficiency of data product and service circulation [1] Group 2 - The draft aims to build a full-chain data circulation trading service system to improve the trading efficiency of high-quality data sets and various data products [1] - It encourages the trading of public data products and services through data exchanges (centers) [1]

国家数据局就《关于培育数据流通服务机构 加快推进数据要素市场化价值化的意见（征求意见稿）》 向社会公开征求意见。其中提到，推动数据流通服务平台企业专业化发展。支持各类数据流通服务平台 企业围绕产业链、供应链和平台生态，促进数据流通利用和价值共创。支持产业互联网平台企业围绕产 业链数据开发利用，创新数据汇聚加工、流通交易等新模式。支持数据基础设施运营方以数据基础设施 为载体，发挥保障数据安全合规高效流通的优势，探索多主体共同开展数据价值共创的新机制。鼓励云 服务平台企业强化数据汇聚、生态链接功能，探索"一站式"数据流通利用新模式。 (本文来自第一财经) ...

Core Viewpoint - The article emphasizes the importance of business inquiry platforms like Qichacha in enhancing government governance efficiency through the integration of public data, thereby fostering a fair and trustworthy market environment [2] Group 1: Company Developments - Qichacha Technology Co., Ltd. has submitted its IPO application to the Shanghai Stock Exchange, marking it as the first commercial data service provider to be accepted since the release of the "Data Element × Three-Year Action Plan (2024-2026)" by 17 government departments [2] - The listing of Qichacha is seen as a significant milestone for the company and a critical step in the marketization of data elements, with its valuation expected to serve as a benchmark for data service enterprises [2][3] - Qichacha's financial report indicates a high gross margin of nearly 90%, showcasing the commercial viability and potential of data element monetization [2] Group 2: Industry Insights - The commercial big data service industry currently faces three main challenges: the immaturity of the raw data market, lagging institutional development, and a severe shortage of interdisciplinary data talent [3] - The successful IPO of Qichacha is viewed as a recognition of the business model within the data service industry, providing a practical reference for similar companies [3] - The high gross margin of 90.74% aligns with the SaaS industry's profitability model, indicating Qichacha's product maturity and market competitiveness [3] - The collaboration between business inquiry platforms and government data is crucial, as government data serves as a foundational resource for the data service industry [4] Group 3: Future Outlook - Qichacha's IPO is considered a critical test for China's data industry, marking the beginning of systematic compliance verification for business models centered around data as a core asset [5] - The data service industry is expected to transition from a chaotic phase reliant on information asymmetry to a more regulated and institutionalized development path [5] - Future competition in the industry will focus on data utilization efficiency and compliance rather than merely data scale [5]

Core Viewpoint - The construction of a digital strong province in Shandong during the 14th Five-Year Plan period has made significant progress, focusing on six key areas of development that enhance the digital economy and infrastructure, ultimately supporting high-quality economic and social development [1][7]. Group 1: Data Value Release - Shandong has achieved breakthroughs in data value release by promoting market-oriented data element allocation reforms and establishing a comprehensive data platform, providing over 54 billion data sharing services [1]. - The province has launched the first marine big data trading service platform in the country, with a total transaction volume exceeding 1.92 billion yuan since 2023 [1]. Group 2: Digital Economy Development - The digital economy is projected to account for over 49% of GDP by 2024, supported by over 600 major technology innovation projects and the establishment of 30 digital industry clusters [2]. - Shandong ranks third nationally in the number of core digital economy entities, with 416,400 legal entities in the sector [2]. Group 3: Digital Government Construction - The digital government initiative has seen significant advancements, with the "Love Shandong" service platform registering 120 million users and providing over 1.2 billion electronic certificates [3]. - The province has implemented a unified "Lu Tong Code" and a policy fulfillment platform that has disbursed over 10 billion yuan in funds [3]. Group 4: Digital Society Construction - Shandong has made progress in building smart cities, with all 16 cities achieving "city brain" status and ranking first in the number of cities in the national digital city top 100 [4]. - The province has developed a comprehensive digital public service system, enhancing services in education, employment, and healthcare [4]. Group 5: Digital Infrastructure - Shandong has established two national-level backbone internet connection points, becoming the first province with a "dual hub" status, and has opened 272,000 5G base stations [5]. - The total computing power in the province exceeds 23.18 exaflops, with intelligent computing power accounting for 51.04% [5]. Group 6: Digital Development Environment - The province has developed a robust regulatory framework, issuing 823 standards in the digital field and enhancing network and data security measures [6]. - Shandong is actively promoting digital literacy and has initiated various campaigns to foster a strong digital development atmosphere [6].

Core Insights - The National Data Bureau has released the fourth batch of 30 public data "running" demonstration scenarios, bringing the total to 100, aimed at maximizing the value of public data [2][3] Group 1: Public Data Utilization - The development and utilization of public data is a precursor to the market-oriented allocation reform of data elements, with significant progress in the construction of demonstration scenarios [3] - The first batch of public data scenarios has shown initial social benefits and industrial driving effects, creating replicable and promotable construction models [3] - The enthusiasm for application has surged, with the fourth batch of scenarios expanding into high-frequency public services, specialty industries, and grassroots governance [3][4] Group 2: Trade and Financial Services - The "Single Window" service has significantly improved the quality and efficiency of "foreign trade + finance" services, processing international settlements totaling $127.2 billion and financing credits of 148.8 billion RMB [5][6] - The customs authority has collaborated with 22 major financial institutions to innovate services that address the financing challenges faced by foreign trade enterprises, enhancing cross-border settlement efficiency [5][6] Group 3: Data Authorization and Market Supply - Authorized operation has emerged as an innovative model for public data resource development, enhancing the supply of data and balancing data circulation with security [7] - The establishment of specialized data service enterprises has accelerated, with regions like Tianjin and Anhui actively cultivating operational entities and partners [7] - Public data is increasingly driving the integration of various data applications, supporting industrial development and public governance [7]

宋李民 编者按： "十五五"规划建议提出，健全数据要素基础制度，建设开放共享安全的全国一体化数据市场，深化数据 资源开发利用。国家数据局多次发声，呼吁全社会加大对数据领域的投入，着力培育"为数据付费买 单"的市场意识。这一倡导，不仅是对数据要素市场化配置的顶层指引，更是打通数据价值转化堵点、 构建健全数据要素市场的关键一步。多位专家将深入解读数据资源开发利用的市场培育逻辑与实践路 径。 随着人工智能技术从"以模型为中心"向"以数据为中心"转变，高质量数据已成为决定AI系统能力上限、 驱动产业智能化升级的核心要素。在此背景下，培育数据付费意识，建立健全科学高效的付费机制，不 仅是深化数据要素市场化配置改革的关键举措，更是"十五五"时期全面实施"人工智能+"行动的重要保 障。 数据付费是激活"人工智能+"新动能的必然要求 数据的价值并非蕴藏于静态存储之中，而是在具体应用场景中被激活和创造，只有当市场愿意为高质量 数据支付合理费用时，其潜力才能充分释放。 在人工智能迈向高质量发展的重要阶段，加快培育"为优质数据付费"的市场意识尤为迫切。这不仅关乎 能否构建健康、可持续的商业模式，更关乎我国能否在数智时代把握发展主动 ...

Core Insights - The article emphasizes the importance of data asset management as a strategic necessity for companies to leverage data as a core asset for growth and innovation in the evolving digital economy [1][18]. Group 1: Data Value Transformation - The 8.0 version of the guide outlines a three-stage transformation of data value: resourceization, assetization, and capitalization, providing a clear path for companies to follow [2][28]. - Resourceization focuses on ensuring data quality, security, and availability, which are prerequisites for value release [2][28]. - Assetization aims to make data's value visible and measurable through activities like registration, valuation, and internal/external circulation [2][28]. - Capitalization allows data to be treated as a stable asset, enabling innovative financing methods such as pledging for loans and securitization [2][28]. Group 2: Practical Implementation Paths - The guide identifies four core paths for companies to realize data value: digitalization of industries, digital management, digital productization, and ecosystem collaboration [4][5]. - It provides tailored strategies for different types of companies, including value operation-focused firms, transaction innovation-driven companies, compliance-driven enterprises, and foundational management-focused organizations [5][6][7]. Group 3: Future Trends - The report anticipates five key trends in data asset management: integration of AI in data management, real-time decision-making through digital twins, establishment of precise value measurement frameworks, expansion of knowledge management, and active participation in data market ecosystems [9][10][11][12][13]. Group 4: Target Audience - The guide is designed for various stakeholders, including CEOs and CDOs for strategic direction, data department heads for optimizing management systems, business managers for understanding data's role in innovation, and finance/legal personnel for compliance challenges [14][15][16][17].