本报讯 （记者 张辉 通讯员 林雨悦） "政府部门、合作方一键就能查询核验我们的数据产权信息，不用 我们出示证明。"12月28日，福建三钢（集团）有限责任公司副总经理黄标彩向记者展示闽政通App里 的证书查询页面，"以后，我们开展数据流通交易、数据资产增信融资等业务时更有底气了。" 这源于我省在数据产权登记领域的最新探索：福建省数据产权登记平台与闽政通企业服务专区"福建易 企办"打通证书对接通道，企业完成数据产权登记后，证书可同步推送至"福建易企办"的海丝信用服务 平台，实现"一次登记，多端可用"。 开展数据登记是数据要素市场化改革的重要内容，有助于破解权属不清、价值不明、风险难控等痛点。 今年，福建大数据交易所建设运营的福建省数据产权登记平台上线，并发出全省首张数据产权登记证 书。在此基础上，又上线了数据产权、数据知识产权、数据资产一站式登记业务，实现"信息一次填 报，多证联审联办"。 "数据要素流通的痛点之一，是权属确认后难以快速应用。"福建省企业信用信息管理有限公司副总经理 郑必辉说，应加速推动数据产权纳入企业核心资质，发挥其在企业融资授信、招投标等场景中的增信作 用。 在此背景下，福建大数据交易所在省 ...

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 ...

Group 1 - The 2025 Global Data Business Conference was held in Shanghai, focusing on the integration of data with industry pain points and promoting a new model for value realization [1] - The conference showcased "turnkey" solutions that address specific scenarios in financial risk control, clinical medicine, and intelligent manufacturing, indicating a clearer path for the value realization of data elements [1][2] - Shanghai Data Group presented various products, including a legal entity database and credit database, aimed at practical applications such as government investment attraction and customer acquisition for financial institutions [1] Group 2 - Aixin Technology and Shanghai Data Co. launched the world's first data synthesis all-in-one machine, "Moshuwang," designed to balance privacy protection and data sharing while generating synthetic data for various sectors [2] - The machine addresses challenges such as data scarcity and high costs, providing customized synthetic data to support AI development and data product creation [2] - Zhufu Technology is focusing on developing embodied intelligent robots that can perceive environments and make autonomous decisions, applicable in smart construction and property management [2][3] Group 3 - The Shanghai National Engineering Research Center for Biochips is working on specialized intelligent agents that leverage large language models and medical knowledge graphs to bridge the gap between AI and healthcare applications [3] - The conference also introduced the "Carbon Trust Network" platform, promoting credible carbon data circulation and supporting enterprises in their green transformation efforts [3]

Core Insights - Shanghai Miaokelan Duo Food Technology Co., Ltd. has successfully launched the "High-Quality Data Set for Cheese and Related Product Testing" on the Shanghai Data Exchange, marking a significant milestone in its cheese RDA project [2][5] - This data set is the first of its kind in China, showcasing Miaokelan Duo's quality control capabilities in cheese and related products, aligning with its "extreme quality" strategy [2][5] - The data set encompasses various food safety and quality analysis projects, including sensory, physicochemical, microbiological, contaminants, and nutritional components [2] Company Developments - The data set has been registered and secured on the blockchain, providing unique digital identities for each batch of cheese testing data, ensuring data integrity, traceability, and value transformation [2][4] - Miaokelan Duo aims to leverage this data resource for productization and value realization, laying a solid foundation for future RDA asset digitalization and revenue generation [4][5] - The company is expected to enhance brand premium, consumer trust, and food safety through this innovative approach, transitioning from "manufacturing" to "intelligent manufacturing" [4][5] Industry Context - The Shanghai Data Exchange emphasizes the need for clear property rights, stable returns, verifiable data, and controllable risks for enterprises engaging in RDA asset digitalization [4] - The exchange will facilitate collaboration among industry associations, third-party testing organizations, and data service providers to establish a trustworthy ecosystem for Miaokelan Duo's assets [4] - The integration of AI and blockchain technologies will enable the prediction of cheese product quality trends and promote innovation in production processes [4]

Core Viewpoint - The successful listing and blockchain integration of the "High-Quality Data Set for Cheese and Related Products Inspection and Testing" by Miaokelando marks a significant advancement in the company's RDA project, showcasing its commitment to quality control and data transparency in the cheese industry [1][3][6]. Group 1: Data Set Overview - The data set consolidates Miaokelando's standards, testing methods, and results in cheese quality inspection, reflecting the company's capability in product quality management [3]. - It encompasses various food safety and quality analysis projects, including sensory, physicochemical, microbiological, contaminants, and nutritional components [3]. - The data set provides a unique "digital identity" for each batch of cheese, ensuring data verification, traceability, and value transformation [3][7]. Group 2: Industry Impact - The initiative is seen as a pioneering effort in the data asset field, contributing to the integration of digital economy and traditional industries in the Fengxian District [3][4]. - Miaokelando aims to leverage new digital technologies to establish a comprehensive quality safety data system throughout the product lifecycle, enhancing brand value and sales premium [4][6]. - The listing of the data set signifies Miaokelando's leading capabilities in quality control and its role in advancing high-quality development in the Chinese cheese sector [6][7]. Group 3: Future Directions - The RDA project sets higher standards for asset digitization, with a focus on clear ownership, stable returns, verifiable data, and manageable risks [7]. - The ongoing digitalization efforts are expected to enhance brand premium, consumer trust, and food safety adherence [7]. - The Shanghai Data Exchange will support traditional manufacturers in exploring the value of data elements, facilitating the transformation into a modern, data-driven cheese enterprise [7].

Core Insights - Miaokelando and Left Bank Chip Wisdom (Shanghai) Data Technology have successfully launched the "High-Quality Data Set for Cheese and Related Products Inspection and Testing" at the Shanghai Data Exchange, marking a significant milestone in the cheese industry [2] Group 1: Data Set Overview - The data set is the first of its kind in China, focusing on cheese inspection and testing, and includes quality standards, testing methods, and results from Miaokelando [2] - It covers various aspects of food safety and quality analysis, including sensory, physicochemical, microbiological, contaminants, and nutritional components of cheese products [2] Group 2: Strategic Importance - Chen Yi, Vice President of Mengniu Group and Chairman of Miaokelando, emphasized the need for advanced digital technologies to establish a comprehensive data system for product quality and safety throughout the entire lifecycle [2] - The initiative aims to enhance brand value and product sales premiums by leveraging data to create the most comprehensive, highest quality, and best service foundation in the cheese industry [2] Group 3: Industry Impact - The successful launch of the data set is a crucial step for Miaokelando's Cheese RDA project and reflects the Shanghai Data Exchange's commitment to promoting the value of data elements for traditional manufacturing enterprises [2]

Group 1: Capital Market Developments - The China Securities Regulatory Commission (CSRC) emphasizes the need to enhance the inclusiveness and adaptability of the capital market during the "14th Five-Year Plan" period [1] - Key tasks include actively developing direct financing through equity and bonds, fostering high-quality listed companies, and creating a more attractive long-term investment environment [2][3] - The CSRC aims to improve the scientific and effective nature of capital market regulation and steadily expand high-level institutional openness [2] Group 2: Fund Performance Benchmark Guidelines - The CSRC has released a draft guideline for public offering securities investment fund performance benchmarks, seeking public feedback [3] - The guidelines require that performance benchmarks reflect product positioning and investment style, and that fund managers appoint experienced fund managers based on these benchmarks [5] - A decision-making mechanism for benchmark selection will be established, with company management responsible for the representativeness and sustainability of the selected benchmarks [5] Group 3: Company News - Weigao Blood Products announced plans to acquire 100% equity of Weigao Puri, constituting a major asset restructuring, with shares set to resume trading on November 3 [8] - Weigao Puri, established in 2018 with a registered capital of 106 million, specializes in pre-filled syringes and other medical packaging, supporting the localization of critical pharmaceutical materials [10] - Tianqi Co., Ltd. signed a strategic cooperation agreement with Foxconn to promote the application of intelligent robots in industrial settings, aiming to deploy at least 2,000 robots within five years [8]

Core Viewpoint - The National Development and Reform Commission has issued a plan to deepen the development of smart cities and promote comprehensive digital transformation, emphasizing the value of data elements and their integration with urban industries [1] Group 1: Data Utilization and Industry Integration - The plan aims to leverage urban advantages in industry, talent, and data aggregation to enhance open innovation in urban scenarios [1] - It promotes the integration of data industries with low-altitude economy, unmanned driving, and embodied intelligence, which are data-intensive sectors [1] - The initiative supports the cultivation of trustworthy data spaces in cities, facilitating the fusion of public, enterprise, and personal data for digital industry development [1] Group 2: New Business Models and Economic Growth - The plan encourages the development of new business models such as "data as a service" and "model as a service" tailored to local conditions [1] - It aims to foster innovative digital economy enterprises and create industry leaders with ecological influence [1] - The exploration of data vouchers and model vouchers as subsidy mechanisms is intended to reduce innovation costs for enterprises [1]

Core Insights - The article discusses the progress of various provinces in China in leveraging data as a valuable resource to enhance economic development and public services, highlighting initiatives in Hebei, Shandong, and Chongqing [1][3][6]. Group 1: Data Utilization in Industries - Hebei is advancing the construction of a large model for the steel industry, collaborating with 21 local steel enterprises to manage 1854TB of data and develop 293 high-quality datasets for applications such as personnel safety monitoring and waste steel quality inspection [1][6]. - Shandong has gathered over 50PB of high-quality marine data, accounting for 25% of the national total, and has established a marine big data trading service platform to enhance applications in marine fisheries and disaster prevention [7][8]. - Chongqing is focusing on the automotive industry, creating a trusted data space for the sector and developing high-quality datasets to support the digital transformation of the automotive industry, with a notable statistic that one in ten new energy vehicles in China is produced in Chongqing [8]. Group 2: Public Services and Data Accessibility - The "Yukuaiban" platform in Chongqing manages over 2900 government service items, achieving an 85% rate of online service completion, significantly reducing the time and effort required for citizens to access essential services [4][6]. - Jiangsu has established a unified data trading platform that has listed 3933 data products and attracted 1864 data vendors and third-party service providers, aiming to enhance the economic and social development through data utilization [3][11]. - Guangdong's "One Network Sharing" platform has served 2342 departments and opened over 27 billion public data records, providing robust data support for efficient public service delivery [3][11]. Group 3: Policy and Financial Support - The "Data Element x" competition has attracted over 22,000 teams, with 900 projects entering the finals, serving as a connector for data supply and demand across various regions [10][11]. - Financial incentives for data initiatives are significant, with Jiangsu offering over 2.3 million yuan in total rewards for the competition, while Shandong has allocated 1.05 billion yuan for data industry funding, including 35 million yuan specifically for the "Data Element x" initiative [11][12]. - Several provinces, including Guangdong and Shandong, are accelerating the formulation of provincial data regulations to support the development of data-driven industries [11][12].

Core Insights - The report highlights the rapid development of the computing power economy in China, emphasizing its role as a new productive force in the digital age and its significance in driving the digital economy towards higher levels of growth [1] Supply and Demand Dynamics - On the demand side, technological advancements and deeper applications are driving continuous growth in computing power demand, with data production expected to reach 41.06ZB in 2024, a 25% year-on-year increase [2] - On the supply side, China's computing power supply capacity is continuously enhancing, with the number of standard racks in computing centers reaching 10.431 million by March 2025, reflecting significant progress in infrastructure [2] - The intelligent computing scale reached 748 EFlops (FP16) by March 2025, with an average growth rate of 49% over the past five years, indicating a strong push towards diversified computing supply [2] Impact on GDP - The growth of computing power has a positive effect on GDP, with a 1% increase in computing power scale corresponding to a 0.426‰ increase in GDP [3] - The impact of computing power on GDP varies by region, with lower GDP areas requiring significant investment for computing power to yield noticeable results, while higher GDP areas can achieve exponential output increases from computing investments [3] Policy Implications - Computing power policies have a long-term driving mechanism for GDP growth, with selected cities for data center clusters seeing a 1% increase in computing power scale leading to an additional 0.109‰ GDP growth [4] - The effectiveness of computing power policies is universal across different regions, influencing economic growth mechanisms regardless of geographic location [4] Need for Policy Improvement - The computing power economy in China is still in its early stages, facing challenges such as inadequate top-level design and the need for exploration of local models [5][6] - Recommendations include enhancing top-level design, optimizing the computing power policy system, and encouraging local exploration of unique computing power economic models [6] - Emphasis is placed on strengthening technological research and development to improve self-innovation capabilities and enhancing the enabling role of computing power across various industries [6]