近日，山东省大数据局正式公布2025年全省数据要素市场化配置改革"揭榜挂帅"创新成果名单。此次成 果公布是山东扎实推进国家数据要素综合试验区建设、加速数据要素市场化配置改革的关键举措，一批 兼具创新性与实用性的改革成果脱颖而出，将为全省数字经济高质量发展注入强劲动能。 自工作启动以来，各揭榜单位积极响应、主动作为，立足自身优势开展探索实践。在数据确权、数据流 通交易、数据安全治理、数据价值转化等多个关键领域大胆创新，形成了一系列可复制、可推广的创新 成果。这些成果既涵盖了技术层面的数据安全共享平台搭建、数据脱敏技术研发，也包括机制层面的数 据交易规则完善、跨部门数据协同应用模式构建，更有应用层面的数据赋能实体经济、政务服务优化等 实践案例，全方位展现了山东在数据要素改革领域的积极探索与扎实成效。 | 序号 | 榜单方向 | 揭榜任务名称 | 揭榜单位 | 联合单位 | | --- | --- | --- | --- | --- | | 9 | | 可信确定性数联网关键技术与系统 | 山东未来网络研究院 | 山东未来集团有限公司、中国铁塔 | | | | | | 股份有限公司山东省分公司 | | 10 | | ...

Core Insights - Wuxi is advancing its data industry development through the establishment of the "China Digital Port," focusing on systematic layout and application of trusted data spaces [1][4] - The city aims to enhance the market-oriented allocation of data resources, promoting efficient circulation and utilization of data elements [1][4] Group 1: Data Industry Development - A conference was held in Wuxi to promote the development of the data industry, gathering 120 representatives from government, academia, industry associations, and data enterprises [1] - The unveiling of the China Digital Port Data Industry Clusters in New Wu District and Xishan District marks the beginning of significant industrial exploration in data element aggregation and enterprise cultivation [1][2] - The Jiangsu Digital Association's Smart Industry Committee and Wuxi Smart Industry Development Alliance were established to foster collaboration among government, industry, academia, and research [1][2] Group 2: Data Enterprise Recognition - The "Wuxi Data Industry Map" was officially released, identifying 2,100 potential data enterprises in the city, providing a framework for future industrial layout and enterprise cultivation [2] - The first batch of data enterprise cultivation certificates was issued, recognizing 10 companies across six types, including state-owned and private enterprises [2] Group 3: Public Data Initiatives - Wuxi is the first in the province to issue "sample priority coupons" to selected data enterprises, allowing them to access high-quality public data samples for innovation [3] - A list of 28 high-quality public data sets was released, covering various sectors such as healthcare, real estate, and smart agriculture, aimed at empowering AI development [2][3] Group 4: Future Plans and Economic Impact - Wuxi plans to leverage the approval of the comprehensive reform pilot for market-oriented allocation of factors in Suzhou to enhance its data industry ecosystem [4] - By the third quarter of 2025, Wuxi's core digital economy enterprises numbered 2,166, generating revenue of 436.57 billion yuan, leading the province in both development and comprehensive indices [4]

Core Insights - Data is becoming a new production factor that is reshaping development logic and driving high-quality growth, with Changsha showcasing significant achievements in the 2025 "Data Factor ×" competition [1][2] - The project "Empowering 'Longping Seed · China Chip': Building a Benchmark for Intelligent Seed Industry with Data Factors" won the national first prize, highlighting the integration of data in agriculture to strengthen food security [2][4] Industry Transformation - The Chinese seed industry is at a critical juncture, transitioning from traditional methods to modern practices, facing challenges such as resource utilization and low levels of intelligent management [4] - A data-driven transformation is underway, leveraging a combination of biotechnology, agricultural technology, and digital technology to create a new model for industry integration [5] Data Governance and Utilization - The project has established a comprehensive governance system to convert scattered data into valuable industry assets, identifying 263 key business objects and creating 118 data governance standards [5][7] - Advanced data collection systems ensure reliable data sourcing, while blockchain technology facilitates secure data sharing and application, addressing long-standing issues of data silos and trust [5][7] Practical Outcomes - The implementation of an AI-driven breeding platform has accelerated research, reducing breeding cycles from 8-10 years to 3-4 years and increasing research efficiency by 38% [7][8] - Cost reductions of 8.3% per acre and yield increases of 5-10% have been achieved through transparent and traceable seed production processes [7][8] - Digital platforms have connected over 30,000 distributors and service providers, reaching more than 9 million farmers, leading to an annual increase in grain production of approximately 5 billion kilograms and farmer income growth of about 13 billion yuan [8]

Core Insights - Qichacha Technology Co., Ltd. has submitted its prospectus to list on the Shanghai Stock Exchange, marking it as the first data service provider to be accepted for listing [1] - The company has established itself as a significant data support platform across various sectors due to its extensive enterprise information database and strong analytical capabilities [1] Group 1: Industry Trends - The value anchor in the industry is shifting from merely connecting information to building trust, as the abundance of information has become a burden rather than a resource [3] - The real challenge lies in discerning authenticity, clarifying relationships, and identifying trends from the overwhelming flow of information to reduce decision-making uncertainty [3] Group 2: Company Developments - In 2025, the company aims to transition from being an "information connector" to a "trust builder" in commercial relationships, emphasizing the need for deep analysis over mere data listing [3] - The company has validated its service value by providing high-quality business data and industry chain analysis solutions to various sectors, proving the effectiveness of its "data + insight + decision support" model [4] Group 3: Technological Integration - The introduction of AI models and intelligent tools has shown significant potential in understanding complex business relationships and conducting predictive analysis, reinforcing the importance of ongoing AI research and development [4] - The company is integrating AI deeply into its services, ensuring that technology enhances business insights rather than remaining a standalone feature [5] Group 4: Strategic Focus - The company emphasizes "fusion" as a key theme for 2025, focusing on the integration of technology with business, data with knowledge, and online with offline services [5] - Collaborations with local governments and industrial clusters are being explored to combine online data analysis capabilities with real-world business services, enhancing the practical application of data [5] Group 5: Future Aspirations - The company envisions becoming an indispensable "infrastructure-level" trust partner in the commercial landscape, akin to utilities like water and electricity [6] - Future efforts will focus on building a "trustworthy data foundation" and creating an "open and win-win ecosystem" to play a crucial role in the growing digital economy [6]

Group 1 - The core viewpoint of the articles emphasizes the importance of accelerating the market-oriented allocation of data elements to promote high-quality development of the digital economy in Binzhou, Shandong Province [1][2][3] - The initiative includes six key areas and 20 specific measures aimed at integrating the digital economy with the real economy, focusing on traditional industries like high-end aluminum and fine chemicals, and fostering new industries through data empowerment and industrial intelligence transformation [1][2] - The goal is to achieve an annual growth rate of over 20% in the data industry and to cultivate 200 key digital economy enterprises, highlighting the focus on artificial intelligence, data industry, and low-altitude economy [1][2] Group 2 - A comprehensive system covering six key areas is being formed, including element activation, industrial upgrading, transformation empowerment, collaborative development, infrastructure support, and implementation guarantees [2] - The strategy aims to enhance the competitiveness of core digital economy industries by promoting technological innovation, developing artificial intelligence, and fostering platform economies [2] - The plan includes a three-year effort to create a dual-driven model of "traditional industry renewal + emerging industry breakthroughs," positioning Binzhou as a leader in digital economy development at both provincial and national levels [3]

通信世界网消息（CWW）据央视新闻报道，最新数据显示，截至三季度末，我国已建成高质量数 据集总量超500PB，赋能人工智能模型不断提升性能、创新持续加速。 国家数据局局长刘烈宏在2025科创大会上表示，高质量数据集是数智创新的关键资源，国家数据局 联合26个部委共同制定政策文件，以场景应用为导向，推动各行业领域高质量数据集建设；部署了140 项先行先试任务，初步实现了"'人工智能+'到哪里，高质量数据集建设和应用就到哪里的良好氛围"； 全社会需要加大数据领域投入，培育"为高质量数据付费"的意识，将为数据要素市场化配置改革注入新 的动力。 ...

记者今天（4日）从国家数据局了解到，最新数据显示，截至三季度末，我国已建成高质量数据集总量 超500PB，赋能人工智能模型不断提升性能、创新持续加速。 （文章来源：央视新闻） 国家数据局局长刘烈宏在2025科创大会上表示，高质量数据集是数智创新的关键资源，国家数据局联合 26个部委共同制定政策文件，以场景应用为导向，推动各行业领域高质量数据集建设；部署了140项先 行先试任务，初步实现了"'人工智能+'到哪里，高质量数据集建设和应用就到哪里的良好氛围"；全社 会需要加大数据领域投入，培育"为高质量数据付费"的意识，将为数据要素市场化配置改革注入新的动 力。 ...

Group 1: Industry Insights - The National Bureau of Statistics emphasizes the importance of enabling artificial intelligence development through data element empowerment as a key focus of market-oriented reform in the data element sector [1] - By July 2025, a comprehensive market structure is expected to form, led by one national exchange and over 50 regional and industry-level institutions, with the data trading market projected to grow to 211.54 billion yuan by 2024 [1] - The market size is anticipated to reach 284.09 billion yuan by 2025 and potentially exceed 715.9 billion yuan by 2030, with a compound annual growth rate of 20.3% during this period [1] - The construction of an open, shared, and secure national integrated data market is expected to accelerate data circulation and unlock the value of data elements, benefiting the entire industry chain [1] Group 2: Company Developments - Yihualu is recognized as a pioneer in the data element industry with a central enterprise background, actively participating in the development of national standards and industry norms [2] - The company provides a full-process service for data element assetization to government and enterprise clients, covering data asset evaluation, registration, authorized operation, and regional data element market construction [2] - Yihualu has established a complete business chain that includes data registration, asset evaluation, and circulation operation, creating a "public data operation platform product system" to attract industry users and technology service providers [2] - Shanghai Steel Union possesses a significant amount of exclusive bulk commodity data [3]

Core Points - The integration of data elements with artificial intelligence is essential for promoting intelligent innovation [1] - The National Data Bureau emphasizes the importance of data infrastructure, high-quality data sets, and talent development in driving data-driven innovation [1] Group 1: Data Infrastructure - Data infrastructure is a crucial carrier for intelligent innovation, addressing the challenges of "security, compliance, and efficiency" in data circulation [1] - The positive externalities of data elements need to be maximized while mitigating negative externalities [1] Group 2: High-Quality Data Sets - High-quality data sets are identified as key resources for intelligent innovation [1] - The National Data Bureau is focusing on market-oriented reforms for data elements, including policy formulation, supply promotion, standard establishment, technology enhancement, and ecosystem cultivation [1] Group 3: Talent Development - The construction of a talent team is a critical support for intelligent innovation [1] - The National Data Bureau has issued opinions to strengthen the development of data-related disciplines and digital talent training models [1] - A "dual-driven" approach will be implemented to accelerate the establishment of a new ecosystem for independent digital talent cultivation [1] Group 4: Investment and Market Awareness - A call for increased investment in the data sector is made to foster a market awareness of "paying for high-quality data" [1] - The aim is to inject new momentum into the market-oriented reform of data element allocation [1]

Core Viewpoint - The document outlines a comprehensive strategy to strengthen data-related academic disciplines and digital talent development in China, emphasizing the importance of aligning educational programs with industry needs and national strategic goals [1][3][4]. Group 1: Academic Discipline Development - Educational departments and data management agencies will collaborate to enhance data-related academic programs, supporting institutions in establishing degrees in data science, digital economy, and management [4][5]. - A talent cultivation mechanism will be established to ensure seamless transitions between undergraduate, master's, and doctoral programs in data-related fields [4][5]. - Vocational schools will be encouraged to adjust their data-related programs dynamically based on industry needs, including new courses in data collection, cleaning, compliance, and operations [4][5]. Group 2: Industry-Oriented Vocational Education - A system for data industry vocational education will be developed, integrating government oversight, industry guidance, and enterprise participation [6][7]. - The establishment of a national data vocational education teaching advisory committee is proposed to enhance the quality of education [6]. - Collaboration between data companies and vocational schools will be encouraged to create practical training bases and improve the quality of teaching [7]. Group 3: Research and Academic Collaboration - The document emphasizes the need for building academic communities and fostering a digital talent pipeline in the data field [8][9]. - It calls for the establishment of high-level academic journals and platforms for data research to facilitate the dissemination of knowledge and innovations [8]. - Research will focus on critical issues such as data marketization, property rights, and the application of emerging technologies like AI and blockchain [8][9]. Group 4: Application and Innovation - The creation of typical application scenarios is encouraged to promote collaboration between academia and industry, enhancing the practical training of digital talent [10][11]. - Innovative collaborative training models will be supported, with a focus on developing core courses and practical projects in data-related fields [10][11]. - The establishment of technology innovation platforms is proposed to foster interdisciplinary research and the development of cutting-edge technologies in the data sector [11][12]. Group 5: Implementation and Monitoring - A mechanism for ongoing collaboration among government, industry, and academia will be established to ensure effective implementation of the proposed strategies [12]. - The National Data Bureau will monitor the effectiveness of these initiatives and promote successful case studies [12].