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，由央国企带头释放数据资源价值，既是其责无旁贷的责任，也是国企社会 担当的体现。 我国经济体制下多种所有制共存，民营企业尤其是互联网平台企业也掌握着大量社会经济活动数据，同 样能在数据资源释放中发挥重要作用。此次选择央国企作为试点，核心目的是让"国家队"发挥示范带头 作用，消除行业顾虑，后续带动国企、民企等各类市场主体积极参与数据资源有序释放。 当前数据要素 ...

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 ...

Core Insights - The flower industry in Kunming, Yunnan, has begun trading data, marking a significant shift from traditional flower sales to data transactions [1] - The first transaction involved the sale of flower auction trading data between Kunming Dou Nan Agricultural Products Auction Co., Ltd. and Yunnan Finance Vocational College [1] - The Dou Nan Flower Market is the largest fresh-cut flower trading market in Asia and the second largest in the world, with projected trading volume and value for 2024 at 14.176 billion stems and 11.574 billion yuan respectively [1] Group 1: Data Trading and Utilization - The data transaction is based on three years of flower trading data processed to include various attributes such as flower types, grades, and defects [1] - The data is utilized for educational purposes, helping students enhance their business skills through simulated accounting practices [1] - The data is also expected to aid in financial reporting and decision-making for flower businesses [1] Group 2: Data Exchange Platform - The Kunming International Data Exchange Service Platform acts as a "data supermarket," facilitating transactions between data providers, demanders, and data processing entities [2] - The platform has registered 447 products and facilitated transactions amounting to 99.52 million yuan [2] - Data products undergo a rigorous process of registration, compliance checks, and certification before being traded [2] Group 3: Data Security and Compliance - Original transaction data is not directly circulated; it is cleaned and anonymized to ensure compliance and security [2] - The platform employs advanced technologies such as privacy computing and blockchain to create a trusted data space for secure transactions [2] Group 4: Data Market Development - Yunnan is focusing on unlocking the value of dormant data and promoting the development of the data factor market [3] - The province is implementing measures to enhance the management and utilization of data assets, aiming to improve the flow and application of data [3]

Group 1 - The "Chuan-Yu Construction Industry Digital Transformation Conference" was held in Chengdu, focusing on the application of AI and new information technologies in the construction sector to promote digital transformation and high-quality development in the Chuan-Yu region [1] - The conference gathered over 400 participants, including industry association leaders, academicians, experts, executives from leading companies, and representatives from relevant institutions and universities [1] Group 2 - Liu Yonggang, founder of Yizhi Technology (Chengdu) Co., delivered a keynote speech emphasizing the importance of building a "trusted data space" as the "genetic code" for the construction industry internet [3] - Yizhi Technology utilizes three engines: "knowledge engine, contract engine, and drawing engine" to activate the internal dynamics of the industry [3] Group 3 - In a sub-forum on "AI-driven Intelligent Construction and Project Management Innovation," CEO Wen Ling shared a report on how Anxin Zhu is innovating internet products through a four-layer structure: business scenario layer, trusted data layer, expert model layer, and ecological application layer [5] - Anxin Zhu has obtained over 50 national invention patents and 3 international invention patents, becoming a typical case in the national third batch of "data element x" governance in the construction industry [5] - The company has successfully piloted projects in multiple regions across China, including Guangdong, Jiangsu, Fujian, and Xiong'an New Area, receiving positive feedback [5]

11月25日，国家数据局举办"数据价值化我们在行动"系列新闻发布会第三场。 国家数据局副局长陈荣辉表示，今年7月，国家数据局会同国务院国资委组织实施国有企业数据效能提 升行动，并于近期启动国有企业数据资源开发利用试点工作，明确12家中央企业为首批试点牵头单位。 进一步增强数据治理能力 "这一实践让我们深刻认识到，只有打破数据壁垒，才能释放其最大价值。"李鹏说。目前，南方电网已 形成涵盖设备运行、电力系统、用户用电等三大类数据的开放体系，为跨行业融合应用奠定基础。 针对数据共享难、互信难问题，南方电网于2024年8月率先启动南方能源行业可信数据空间建设。李鹏 介绍："该空间融合区块链、隐私计算等技术，实现数据'可用不可见、可控可计量'，打造了一个合规 可信的流通生态。" 据了解，提升行动聚焦能源电力、交通物流、矿产资源、装备制造、卫星遥感、新材料、农业、建筑建 材、绿色低碳等重点领域，推动国有企业联合产业链上下游伙伴，在可信数据空间构建、数据资源开放 共享、数据产品与服务协同创新、人工智能创新应用等方面开展深度合作。 陈荣辉称，通过系列举措，预计到2027年，将进一步增强国有企业数据治理能力，显著提高数据资源开 ...

Core Insights - The first domestic medical data product, "Analysis Report on the Association between Inflammation and Pulpitis," has been listed and traded on the Shanghai Data Exchange, marking a significant step towards the market-oriented allocation of medical data in China [1][2] - The data product is based on de-identified clinical data from Yuxiang Central Hospital, covering multiple dimensions such as imaging, pathology, genetic testing, and follow-up information, and has been processed and evaluated for quality by Shanghai Aopu Digital Creation Biotechnology Co., Ltd. [1] - The transaction signifies a complete cycle of rights confirmation, pricing, circulation, and revenue distribution for medical data as a new production factor, transitioning from "resource" to "asset" [1][2] Company and Industry Developments - Yuxiang Central Hospital views this listing as a milestone in its digital transformation and data asset management, aiming to enhance its data governance system and develop relevant small models to empower sustainable development in grassroots hospitals [2] - The transaction employs a "trusted data space" technology architecture to ensure data security and privacy, utilizing anonymization, de-identification, and encrypted transmission to protect original data [2] - The establishment of a trusted data space in Shanghai is seen as a key infrastructure to address the challenges of medical data sharing, facilitating the large-scale circulation of high-value medical data [2]

Core Viewpoint - The fifth Global Digital Business Conference opened in Shanghai, featuring a sub-forum focused on the theme "Data Aggregation for Trustworthy Future," where the Shanghai Travel Service Trustworthy Data Ecosystem was launched, marking a significant milestone in the development of smart transportation in China [1][3]. Group 1: Overview of the Trustworthy Data Ecosystem - The Shanghai Travel Service Trustworthy Data Ecosystem is the first industry data space in China focusing on transportation, created under the guidance of the Shanghai Municipal Data Bureau and the Municipal Transportation Commission [3][4]. - This ecosystem serves as a collaborative hub for data elements in the travel sector, providing comprehensive data services that cover the entire process of aggregation, sharing, circulation, and operation [3]. Group 2: Objectives and Benefits - The establishment of this ecosystem aligns with the national "Trustworthy Data Space Development Action Plan (2024-2028)" and aims to accelerate the digital transformation of the transportation industry, enhance public transport development, and modernize traffic governance in mega cities [3]. - The platform offers a one-stop service for various stakeholders, including capacity enterprises and data source companies, facilitating data application scenario exploration and product promotion [3][4]. Group 3: Technical Infrastructure and Data Integration - The ecosystem leverages a mature technical architecture and deep understanding of the transportation industry to provide efficient services, significantly reducing data sourcing and collaboration costs [3]. - It connects numerous authoritative institutions and leading enterprises across transportation operations, urban construction, and research, creating a collaborative ecosystem that spans the entire industry chain [4]. Group 4: Data Quality and Coverage - The MaaS platform has integrated comprehensive data from various transportation modes, including ground transport, rail, ride-hailing, long-distance passenger transport, and more, establishing a high-quality data set for the trustworthy data ecosystem [4]. - This data set is designed to be real-time, comprehensive, and supports the operational needs of the trustworthy data ecosystem, ensuring its effective functioning [4].

Core Insights - The launch of the first city-level trusted data space in Zhengzhou Airport Economic Comprehensive Experimental Zone marks a significant step in advancing data element market-oriented reform in Henan Province and aligns with the national data strategy [1][2] Group 1: Trusted Data Space Overview - The trusted data space is likened to a highly secure "data collaboration club" or "data sharing vault," where data remains in place while its usage rights can be securely transferred under authorization [2] - This initiative addresses two major pain points in data sharing: concerns over data leakage and the fear of rights infringement [2] Group 2: Implementation and Applications - The platform has already seen partnerships with six companies across various sectors, including personal credit, healthcare, and financial risk control, indicating a broad application of the trusted data space [2] - Future plans include focusing on logistics, healthcare, and cultural tourism to transform data from a "static resource" into a dynamic driver for industrial upgrades and urban governance [2] Group 3: Strategic Importance - Zhengzhou Airport is positioned as a core support in Henan's data element strategy, leveraging its unique advantages in logistics, trade, and manufacturing data [3] - The provincial government is committed to supporting the exploration of data resource authorization and encourages innovative practices in data property rights registration and revenue distribution [3]

Core Insights - The Ministry of Industry and Information Technology has issued the "Guidelines for the Construction of High-Standard Digital Parks," aiming to establish around 200 high-standard digital parks by 2027 [2] Group 1: Goals and Objectives - By 2027, the goal is to achieve full coverage of digital transformation for industrial enterprises in the parks, with a digital infrastructure that significantly enhances management and service levels [2] - The guidelines emphasize the importance of achieving 100% coverage of digital transformation for industrial enterprises and a 100% dual-gigabit network coverage [2] Group 2: Data Utilization and Innovation - The guidelines propose the construction of a unified digital platform for data collection, cleaning, and labeling, aiming to create high-quality datasets for the parks [3] - There is a focus on building a trusted data space to overcome barriers to data sharing and enhance the application of "Artificial Intelligence + Trusted Data Space" [3] Group 3: Intelligent Manufacturing - The guidelines encourage the exploration of "Artificial Intelligence + Manufacturing" applications, supporting the construction of smart factories and the large-scale deployment of industrial robots [4] - The aim is to establish benchmarks for digital transformation in enterprises and enhance overall productivity through the integration of new-generation information technology [4] Group 4: Infrastructure Optimization - The guidelines call for the optimization of computing power infrastructure, including the integration of various computing applications such as general computing, intelligent computing, and supercomputing [5] - There is a push for upgrading network infrastructure to support advanced technologies like 5G-A and high-speed optical networks, ensuring efficient utilization of computing resources [5]

近日，中国人民银行正式公布2024年度金融科技发展奖(以下简称"金发奖")获奖名单，江西银行联合中国人民银行江西省分行共同申报的《基 于可信空间的区域金融机构信息交互新模式》凭借突出的技术创新性与实践价值，荣获三等奖。这是江西银行在金发奖中获得的首个软科学类 奖项，实现江西银行在软科学理论研究领域从无到有的突破，同时也是2024年度江西省唯一获奖项目，标志着江西银行在区域金融数字化协同 创新领域的探索获得监管机构权威认可。 (责任编辑：张紫祎) | | | 2024年度立微科仅久做关状关坝口有半 | | | | --- | --- | --- | --- | --- | | 序号 | 项目名称 | 宽成单位 | 主要完成人 | 拟获奖等级 | | 163 | 智能客服及运程银行系统 | 甘肃省农村信用社联合社 | 朱国亮,周君、张瑜,陈忠旺、牛宠,赵颖、杨志国、王旭堂、张巨涛,刘发宗、马俊君 | 三等奖 | | 164 | 具备扫码支付能力的硬钱包侧新与应用 | 中国人民银行数字货币研究所, 中国银行股份有限公司, 招商银行股份有限公司, | 穆长春,狄刚、吕远、崔沛东、陈松、彭英玲、刘刚、陈杏峰、赵昕鹏,马 ...