Core Insights - The establishment of the data analysis industry education integration community aims to address the urgent need for digital talent in the context of the booming digital economy and the accelerated release of data factor value [1][2] - Data is identified as a new production factor that is crucial for cultivating new productive forces and driving high-quality economic development, with the "14th Five-Year Plan" period expected to be a peak for the release of data factor value [1] Group 1 - The report by Dr. Ren Dong highlights the foundational advantages and real challenges of local development in Shandong, noting that while the province has a relatively complete data infrastructure system and ranks high in data openness, issues such as insufficient effective supply of data resources and a shortage of high-end computing power remain pressing [1] - The phenomenon of "labor shortages" and "low quality coexistence" in areas like data labeling underscores the importance and urgency of education-industry integration [1] Group 2 - To address industry development pain points, Dr. Ren proposes that building an education-industry integration community is a key measure to resolve the talent supply-demand contradiction in the digital sector [2] - The community aims to establish a comprehensive data factor discipline and professional system, covering areas such as data collection, cleaning, analysis, security, and digital governance, guided by national strategy and industry development [2] - Shandong is advancing the construction of a data comprehensive experimental zone through legislative efforts, the establishment of an integrated computing network, and the cultivation of a data trading service ecosystem, with the community serving as a platform to connect educational institutions, research organizations, and enterprises [2]

Group 1 - The core viewpoint of the article is the formal approval of the "Comprehensive Reform Pilot Implementation Plan for Market-oriented Allocation of Factors" by the State Council, which includes ten pilot regions and emphasizes the importance of data as a key production factor alongside land, human resources, capital, technology, and environmental resources [1] - The pilot regions are tasked with breaking down administrative barriers and creating a unified national market through institutional innovation, while also developing replicable national standards through differentiated scenario experiments [1] - The exploration of data as a new factor is crucial for the reconstruction of the underlying logic of modernization in China [1] Group 2 - The construction of high-value data sets is essential, as low-quality source data can undermine the effectiveness of data trading platforms [2] - Establishing robust data infrastructure is necessary for efficient data fusion, requiring strong computing power, algorithms, storage, and network support [2] - The establishment of data fusion standards is a key breakthrough, including terminology standards and management standards to categorize data for effective circulation [2] Group 3 - The ultimate goal is to connect the chain from "data resources" to "data assets" and finally to "data capital," emphasizing the transformation of data from raw materials to tradable and valuable market forms [3] - The market participants are categorized into four types: data suppliers, data demanders, data circulation service institutions, and regulatory bodies, each with specific responsibilities [3] - A regional collaborative command center is proposed to ensure the safe and efficient flow of data across larger areas [4] Group 4 - Data elements are positioned as both independent factors and multipliers, enhancing the efficiency of other factors such as technology, land, talent, capital, and environmental resources [4] - The integration of data elements with other factors can create a multiplier effect, enhancing overall productivity and efficiency [5] - A scenario-driven "data element + N" model is suggested, where the role of data varies across different sectors such as agriculture, industry, finance, and energy [5] Group 5 - The market-oriented allocation reform has transitioned from individual efforts to collective actions, with the data factor market serving as a pivotal area for institutional breakthroughs [6] - The significance of the pilot exploration lies not only in immediate transaction volumes but also in developing a referenceable institutional framework for the entire country [6]

Core Viewpoint - Jiangsu Province has officially announced the first batch of data enterprises for cultivation, with Qichacha Technology Co., Ltd. being recognized for its outstanding capabilities in data technology research and application, marking a significant endorsement of its core data competencies by provincial authorities [1][3]. Group 1: Company Recognition and Support - Qichacha has been included in the provincial data enterprise cultivation list, which encompasses data application and data technology sectors, providing the company with policy support and resource connections [1][8]. - The inclusion signifies Qichacha's authoritative recognition in the data field and will facilitate its integration into Jiangsu's data factor market reform process [1][3]. Group 2: Strategic Importance of Data Enterprise Cultivation - The cultivation initiative is a key measure to implement the national strategy for market-oriented allocation of data factors, involving a rigorous selection process to identify high-quality enterprises with core technical strengths and mature application scenarios [3]. - This initiative aims to create a "tropical rainforest" ecosystem for the data industry in Jiangsu, promoting the growth of data enterprises and contributing to a development pattern of "hundreds of enterprises gathering, thousands of billions in output, and millions of data interactions" [3]. Group 3: Technological Innovation and Capabilities - Qichacha's core support for its inclusion is its autonomous innovation in data technology, having established significant technical barriers through proprietary patents in data collection, quality monitoring, and name disambiguation [4]. - The company covers 365 million market entities in China, with over 400 data dimensions and daily updates of enterprise dynamic information, leading the industry in data volume and update speed [4]. Group 4: Application Scenarios and Impact - Qichacha has developed comprehensive data solutions across various sectors, including finance, manufacturing, government, and supply chain, integrating data value into the entire decision-making process of enterprises [5]. - In the manufacturing sector, its customized supplier selection model significantly enhances the efficiency of supplier approval processes, while in finance, it reduces due diligence costs by over 30% through advanced risk assessment technologies [5]. - The company's data tools have also played a crucial role in social governance, assisting law enforcement in significant cases, thereby demonstrating both commercial and social value [5]. Group 5: Future Development and Industry Implications - The recognition as a provincial data enterprise will provide Qichacha with key support in data circulation, technological innovation, and market resource integration, enabling further development in data technology and application [8]. - Analysts believe that this initiative will accelerate the aggregation of quality resources towards leading enterprises, enhancing the data industry ecosystem and driving high-quality development in Jiangsu's digital economy [8].

Group 1 - The National Data Bureau is working on establishing a data property registration system to enhance data circulation and unlock the value of data elements [2][4] - A meeting was held to discuss the data property registration system, with participation from various stakeholders including representatives from academia and industry [2][3] - The National Data Bureau aims to leverage experiences from other registration systems and gather public opinions to innovate a registration system suited to data characteristics [2][4] Group 2 - The National Data Bureau has outlined key tasks for 2026, focusing on creating a unified national data market and promoting the integration of data technology and industry innovation [4][6] - Plans include establishing a national unified data property registration system and enhancing data infrastructure and operational capabilities [4][6] - The Bureau emphasizes the importance of high-quality data set construction to empower artificial intelligence development, with a goal to produce benchmark data sets by the end of next year [5][6]

Core Insights - The article emphasizes the significant value of public data as a key component of data elements, highlighting the progress made in developing policies for its utilization during the "14th Five-Year Plan" period [1][2] Group 1: Public Data Development and Utilization - A comprehensive sharing system has been established, enabling cross-level, cross-department, and cross-business data access, which supports grassroots efficiency and facilitates services for enterprises and the public [1] - The national integrated government data sharing hub has facilitated over 540 billion data sharing instances, enhancing the effectiveness of service delivery and increasing public satisfaction [1] Group 2: Growth of Public Data Platforms - The number of public data open platforms at the city level and above is projected to increase by 7.5% in 2024, with the volume of open data growing by 7.1% [1] - Eleven provincial-level open platforms have achieved data interconnectivity with municipal platforms, extending the reach of public data to grassroots levels [1] Group 3: Authorization and Application of Public Data - The authorization operation model is emerging as a new highlight in public data supply, with successful implementations in regions like Fujian and Beijing, providing services to over 4 million market entities [2] - The National Data Bureau has published 100 demonstration scenarios for public data applications, showcasing replicable models, such as the tourism sector's initiatives to enhance visitor access to attractions [2] Group 4: Future Outlook - Looking ahead to the "15th Five-Year Plan," public data supply is expected to transition from exploratory mechanisms to large-scale operations, while application scenarios will expand from demonstrations to comprehensive empowerment [2] - The ongoing reforms in market-oriented allocation of data elements are anticipated to fully unlock the value of public data, invigorating the construction of a digital China [2]

Core Insights - The central economic work conference emphasizes the need for innovation-driven growth and the cultivation of new economic drivers, as demonstrated by the transformation in Pingxiang City's Anyuan District from coal mining to digital economy [1] Group 1: Digital Transformation - Anyuan District has successfully transitioned from relying on coal resources to leveraging data through market-oriented reforms, creating pathways for data to become valuable assets [2] - A local porcelain insulator manufacturer has improved production efficiency by approximately 25% and achieved a market share of around 25% due to enhanced data processing capabilities [1][2] Group 2: Data Utilization and Platforms - The district has developed two platforms: one acts as a "supermarket" for data services, while the other functions as a marketplace for data products, facilitating the transformation of dormant data into flowing capital [2] - The establishment of a "data service supermarket" ecosystem allows for better service to local enterprises and attracts data companies from other regions, enhancing the productization and commercialization of data resources [2] Group 3: Economic and Social Impact - The integration of data into various sectors, such as energy consumption and community safety, demonstrates the practical applications of data in improving industrial efficiency and public services [2] - The Anyuan District's approach to data marketization has made data a recognized asset by banks, linking it closely to industrial transformation and enhancing the quality of life for residents [3]

Core Insights - The year 2026 is identified as the "Year of Data Factor Value Release," marking a critical phase in the market-oriented reform of data factors [1] - Various data exchanges are expanding their services and data supply, focusing on compliance and efficiency in data transactions [2][3] Group 1: Market Development - Data exchanges are actively expanding their data supply sources beyond traditional entities like government and state-owned enterprises, encouraging participation from internet platforms, research institutions, and SMEs [2] - The focus is on optimizing data supply structures around key industries such as digital economy, advanced manufacturing, and modern services [2] - The establishment of specialized zones, such as the Jiangsu Provincial Data Exchange's pharmaceutical service sector, demonstrates the targeted approach to data services [3] Group 2: Service Transformation - Data exchanges are evolving from merely facilitating transactions to providing comprehensive, integrated data services, enhancing their service capabilities [3] - Initiatives like the collaboration between Beijing International Big Data Exchange and local entities aim to offer a full range of services, including compliance consulting and product design [3] - The shift towards a more practical approach in data market construction reflects a growing market demand for diverse data applications [3] Group 3: Challenges and Solutions - Despite advancements, challenges remain in the data factor market, including issues of supply, flow, and utilization of data [4] - Legal, technical, and industrial shortcomings hinder the effective circulation and monetization of data [5] - Recommendations include accelerating the establishment of data circulation laws, enhancing data infrastructure, and fostering a robust data industry ecosystem [6][7]

30日在全国数据工作会议上获悉，国家数据局部署2026年重点工作提出，高质量编制实施数字中国建设 规划，加快培育开放共享安全的全国一体化数据市场，着力推进数据科技创新和产业创新深度融合，强 化数据赋能人工智能发展等工作安排。 此外，会议还部署了不断深化数据融合应用和场景建设、赋能数字政府建设持续健康发展、统筹深化数 据领域国际合作等重点工作。 刘烈宏表示，加强规划引领、创新驱动，加快释放数据要素价值，深入推进数字中国建设，更好推动高 质量发展，努力完成数字中国建设"十五五"规划开局之年的各项目标任务，为中国式现代化奠定坚实的 数字基础。 资讯编辑：沈一冰 021-26093395 资讯监督：乐卫扬 021-26093827 资讯投诉：陈跃进 021-26093100 免责声明：Mysteel发布的原创及转载内容，仅供客户参考，不作为决策建议。原创内容版权归Mysteel所有，转载需取得Mysteel书面授 权，且Mysteel保留对任何侵权行为和有悖原创内容原意的引用行为进行追究的权利。转载内容来源于网络，目的在于传递更多信息，方 便学习与交流，并不代表Mysteel赞同其观点及对其真实性、完整性负责。 国家 ...

转自：辽宁日报 本报讯 日前，锦州市正式印发《锦州市公共数据资源授权运营管理办法（试行）》（以下简称《办 法》），旨在深化数据要素市场化配置改革，规范公共数据授权运营活动，加快推动公共数据社会化应 用。 （来源：辽宁日报） 为构建规范高效的运营体系，《办法》要求建设统一的公共数据运营平台作为服务通道，整合已建渠 道。平台将采用数据沙箱、隐私计算等技术，搭建可信授权认证与安全流通环境，确保全过程可记录、 可审计、可追溯。同时，《办法》鼓励多元主体对已交付的公共数据产品进行合规再开发，以促进数据 融合与价值提升，并明确禁止运营机构滥用市场地位或从事垄断行为。 数据安全是授权运营的生命线。《办法》确立了"谁采集谁负责、谁持有谁负责、谁管理谁负责、谁运 营谁负责、谁使用谁负责"的全链条责任体系。运营机构需设立数据安全责任人，建立常态化监测、评 估、应急机制，并加强对合作方的安全监管。数据提供部门需强化源头质量管理与分类分级保护。此 外，供水、供气、供热、供电、公共交通等公用企业的公共数据资源开发利用，也可参照本办法相关程 序执行，在维护公共利益与企业合法权益的同时，接受监督。 《办法》明确，公共数据授权运营坚持安全与 ...

在强化数据赋能人工智能发展方面，会议提出，进一步落实高质量数据集建设行动计划，深入实施强基 扩容、应用赋能、提质增效、管理服务、价值释放等6大专项行动。力争到明年底，形成一批满足AI就 绪度要求、有效训练先进模型、切实解决行业难题、具有国际影响力的标杆型数据集，实现高质量数据 集供给量质齐升，赋能效果更加显著。 此外，会议还部署了不断深化数据融合应用和场景建设、赋能数字政府建设持续健康发展、统筹深化数 据领域国际合作等重点工作。 国家数据局局长刘烈宏在会上表示，国家数据局将着力编制好数字中国建设规划，用好投资政策、试点 试验和监测评估等方式，完成好数据要素市场化配置改革的战略部署。同时，从加强顶层设计、繁荣市 场生态、完善市场治理三方面着力加快培育数据市场。 会议提出，加快建立全国统一的数据产权登记制度，持续健全数据要素基础制度。加快建设全国一体化 算力网，建设全国一体化算力网监测调度平台，加力推进数据基础设施建设和运营。推动加快数据产业 发展、梯次培育数字产业集群，着力推进数据科技创新和产业创新深度融合。 新华社北京12月30日电（记者高亢）记者30日在全国数据工作会议上获悉，国家数据局部署2026年重点 ...