Core Insights - The establishment of local data groups has intensified in recent years, with 29 provincial-level and 187 municipal-level data groups projected by September 2025 [1][3] - Local data groups integrate regional data resources and build public data operation systems, enhancing government digital governance and decision-making accuracy while driving traditional industry transformation through market-oriented data allocation [1][3] - The "2025 National Data Group Development Blue Book" outlines three main models for the formation of local data groups: new establishment, integration and reorganization, and direct renaming of existing state-owned enterprises [3] Summary by Sections Establishment and Functionality - Local data groups serve as a crucial link between government governance needs and market innovation, promoting the release of regional data value and high-quality development of the digital economy [1] - They provide comprehensive service support for local government digital governance, improving administrative efficiency and decision-making precision [1] Trends and Future Outlook - The development of local data groups is expected to show three major trends: intensified competition leading to the emergence of leading enterprises with data, technology, and ecological advantages; normalization of cross-regional cooperation through data alliances; and a clear hierarchical division of labor with a "provincial-level coordination and municipal-level deep cultivation" structure [3][4] Recommendations - The blue book suggests encouraging local groups to explore unique development paths, supporting leading enterprises in ecological construction, guiding groups to implement differentiated competition, and enhancing core competitiveness through data resource reserves and talent development [4]

11月21日，数据要素市场供需对接齐鲁行（威海站）暨"数据要素×"大赛获奖项目示范推广活动上，威 海数据要素运营共同体正式揭牌。作为国家健康医疗大数据中心（北方）授权市场运营主体，浪潮集团 旗下北方健康成为首批成员单位。山东省大数据局党委委员、副局长禹金涛，威海市委常委、副市长张 刚等出席活动。 下一步，北方健康将充分发挥自身在健康医疗数据资源化、资产化、产品化、价值化等方面的实践经验 和能力优势，充分释放数据要素的乘数效应，赋能医学人工智能、医学科研、商业保险、慢病研究、康 养等产业高质量发展，助力威海市大健康产业数智化升级，持续为数字山东、数字中国建设增添强劲动 能。 本次活动是在山东省大数据局指导下，由威海市大数据局、山东数据交易流通协会联合主办，通过政策 讲解、供需对接、企业交流、专题培训、案例分享等形式，传递政策信息、市场信号与发展信心，提升 市场主体的供数、治数、用数能力，加快推进数据要素市场化配置改革，繁荣区域数据生态。 正式揭牌的威海数据要素运营共同体，首批联合了北方健康等42家数据服务商和18家数据资产入表服务 商，涵盖信息技术、金融保险、政务服务等多个领域，旨在打通数据从生产、加工到交易、 ...

11月25日至26日，2025全球数商大会在上海举行。本届大会以"数联全球，商通未来——乘数无界∞"为 主题，旨在搭建全球数据要素流通的关键平台。第一财经记者在现场注意到，今年汇聚了不少来自全球 各地的数据机构代表，与会嘉宾们围绕数据跨境流动、如何构建可信的合作机制等话题展开探讨，显示 出数据跨境合作正加速从探索迈向实践。 ...

21世纪经济报道记者李览青 上海报道 11月25日，为期两天的全球数商大会在沪开幕，本届大会以"数联全球 商通未来——乘数无界∞"为主 题，由上海市数据局、浦东新区人民政府指导，上海数据集团主办。 2021年11月25日，上海数据交易所作为我国首个全国性数据交易平台正式挂牌成立，意味着我国数据交 易市场化改革迈出新的一步。与传统数据交易场所不同，上海数交所在成立之初就提出"数商"概念，努 力培育数据经济、合规审核、资产评估、数据交付等数商全链条生态，全国首个数商协会在2022年11月 25日首届全球数商大会上正式揭牌。 在上海数交所成立5年、全球数商大会开立4年后，本届大会有何特色？ 记者了解到，与往年相比，本届数商大会创新性采用"赛会一体模式"，在开幕式上同期举办了2025 年"数据要素x"大赛全国总决赛颁奖仪式，同时还发布了"数据流通安全治理典型案例"总结业界实践做 法，探索形成了"制度+技术+场景"三位一体的解决方案。 在颁奖仪式上，国家发展改革委党组成员、国家数据局党组书记、局长刘烈宏在发言中提到，越来越多 的数据以开放、共享、授权运营，以及交换交易等形式流通起来，在场景应用中实现价值。 21世纪经济 ...

Core Insights - The 2025 "Data Element ×" competition has seen significant participation, with over 23,000 teams and more than 117,000 participants, leading to 893 projects advancing to the national finals and 183 awarded projects [1] - The competition has demonstrated breakthroughs in scale, quality, and effectiveness compared to the previous year, highlighting the increasing circulation of data through open, shared, and authorized operations [1] - The integration of public data in projects is notable, with 53% of projects utilizing public data, and over 43% of these projects adopting the new model of authorized operations [2] Data Utilization and Trading - The competition reflects a growing trend in data product and service diversity, with approximately 40% of enterprises offering subscription indices and analytical reports, and 15% providing high-quality industry data sets [3] - Data trading is becoming a crucial method for enterprises to acquire data resources, with over 50% of final projects having engaged in data trading [3][4] - The new model of authorized operations has been widely practiced, ensuring the safe and compliant use of public data while empowering enterprises to develop valuable data products and services [2] Future Directions - The National Data Bureau plans to support the establishment of a comprehensive service system for data circulation and trading, promote new models for industry data integration, and enhance the capabilities of data merchants in developing data products [4]

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]

南方财经记者李振 广州报道 数据产权登记证书 数字版权登记证书 征集咨询 广州数据交易所：于女士 13927252987 南方文化产权交易所：唐女士 15920113676 11月26日，"广东文化行业高质量数据集征集计划"发布仪式在粤港澳大湾区文化产业投资大会主题大会 上举行，广东省政务服务和数据管理局党组书记、局长王天广，广东省委宣传部副部长、省文明办主任 陈晓建，南方财经全媒体集团党委书记、董事长胡智勇，南方财经全媒体集团总经理、广东省南方文化 产权交易所董事长张志兵，广州数据交易所董事长许晶晶等嘉宾在论坛现场共同见证该计划正式发起， 广州数据交易所与南方文化产权交易所为此次征集的发起单位。 征集范围 面向全省拥有文旅类高质量数据集企事业单位，广泛征集经过采集、加工等数据处理，可直接用于开发 和训练人工智能模型并能有效提升模型性能的数据的集合。 服务内容 广州数据交易所、南方文化产权交易所将提供"联合登记、联合挂牌"服务，入选数据集可获得数据资 产、数字版权等登记凭证，为企业后续交易、融资、债券化等战略提供便利，前三批成功提交的数据集 将免费获得一站式服务。 ...

Core Viewpoint - The article emphasizes the importance of building an open, shared, and secure national integrated data market, highlighting the role of data circulation service institutions in fostering a vibrant data industry ecosystem and unlocking the value of data elements [1][2]. Group 1: Data Trading and Market Development - The government supports data exchanges in establishing a comprehensive service system for data circulation and trading, recognizing their role in product service incubation, compliance assurance, and standard development [2]. - Data exchanges are currently underperforming, with limited trading scale, and are in a developmental phase, needing to enhance their market positioning and service capabilities [2]. - The government encourages data circulation service platform enterprises to explore new models for industry data integration and utilization, focusing on value co-creation through data sharing and trading [2][3]. Group 2: Role of Internet and Data Service Companies - Internet platform companies are significant players in data production and utilization, acting as key organizers and participants in data circulation within the market [3]. - With the acceleration of data infrastructure development, industry internet platform companies and cloud service providers are emerging as vital forces in the data market, leveraging their industry insights to foster data circulation and value co-creation [3]. - Data merchants are encouraged to further develop data products and enhance service capabilities, actively gathering various data resources for circulation and trading [4].

Core Viewpoint - Shenling Environment announced a board meeting to discuss the proposal for a shareholder meeting and reported its revenue composition for 2024, highlighting a significant reliance on the data services sector [1] Group 1: Company Announcement - Shenling Environment held its fourth board meeting on November 25, 2025, to review the proposal for a shareholder meeting [1] - The company reported a market capitalization of 14.5 billion yuan [1] Group 2: Revenue Composition - For the year 2024, the revenue composition of Shenling Environment is as follows: - Data services industry: 51.31% - Special industry: 23.33% - Industrial industry: 20.26% - Public construction and commercial industry: 4.61% - Other businesses: 0.49% [1]

Group 1 - The core objective of urban data infrastructure construction is to develop a data industry ecosystem and promote high-quality development of the urban digital economy [5] - Huawei connects diverse partners, integrating data resources, technical capabilities, and scenario demands to assist cities in building a complete ecological loop of "data circulation - value transformation - scenario implementation" [5] - The discussion focuses on the four major core changes of data elements in the AI era, emphasizing the need for AI-Ready data infrastructure to handle data in the rapidly evolving AI technology landscape [8] Group 2 - Key personnel include Hu Shanyong, CTO and Chief Scientist for Huawei's Digital Government, who specializes in the integration of technology with government and public security sectors [2] - Zhao Meng, Director of Digital Solutions for Huawei's Government One Network Corps, has extensive experience in database and data lake integration [4] - Qiao Wei, Senior Expert in Industrial Policy at Huawei, focuses on data elements, data space, and AI datasets, contributing to the understanding of infrastructure capabilities needed for future AI competition [7]