（来源：中国改革报） 转自：中国改革报 本报讯 记者王晓涛报道 1月5日，全国数据标准化技术委员会全体委员会议在北京召开。会议要求， 2026年，全国数标委要准确把握数据工作的重点方向，聚焦数据要素价值释放，研制不少于80项国家标 准和技术文件，发布不少于30项重点标准。国家数据局党组书记、局长，全国数标委主任委员刘烈宏出 席会议并讲话。国家市场监督管理总局标准技术管理司副司长朱美娜参加会议并发言。国家数据局党组 成员、副局长，全国数标委副主任委员夏冰主持会议。 过去一年，全国数标委服务国家数据事业大局，不断完善工作体系，持续优化标准供给，强化标准应 用，深化国际合作，有效支撑了数据领域改革攻坚的工作。研制48项国家标准和技术文件，其中超过 1/3的标准在制定过程中同步开展验证试点，标准供给的"质"与"量"同步提升。 为完成今年的工作目标，会议强调，要优化标准供给，加快出台高质量数据集、数据匿名化流通等一批 急需标准，研制重要数据识别目录、全国一体化算力网等一批重点标准，布局智能体互联、具身智能等 一批前沿领域数据标准，培育一批高素质、专业化的第三方机构，推动数据领域国家标准向国际标准转 化，助力打破数据安全 ...

2026年，我国数据领域标准化建设有望迎来关键突破。国家数据局近日公布，将在今年推出30余项数据 领域国家标准，包括在智能体、具身智能等前沿方向布局一批数据标准，在公共数据、高质量数据集等 方面加快出台一批急需的数据标准。 数据标准能够有效支撑数据基础制度落地、促进数据资源的高效开发利用，国家数据局积极推动数据标 准"加速跑"，既是对2025年政策成果的深化，也是激活数据要素潜能的重要举措，因为数据标准正成为 重塑数字经济生态的"基础设施"。 回溯过往，我国数据标准化工作已构建起"顶层规划+试点验证"的推进模式。2024年发布的《国家数据 标准体系建设指南》，构建了覆盖数据全生命周期的标准体系框架，并且提出目标，到2026年底，基本 建成国家数据标准体系。随着《国家数据标准体系建设指南》的发布与全国数据标准化技术委员会于 2024年10月份成立，我国数据标准化进程不断加速。 在国家数据局指导下，全国数据标准化技术委员会聚焦高质量数据集建设中的突出难题，推动研制了 《高质量数据集建设指南》《高质量数据集格式要求》《高质量数据集分类指南》《高质量数据集质量 评测规范》等系列标准，并于2025年8月29日在中国国际 ...

人民财讯1月7日电，据国家数据局消息，1月5日，全国数据标准化技术委员会(简称"全国数标委")全体 委员会议在北京召开。会议要求，2026年，全国数标委要准确把握数据工作的重点方向，聚焦数据要素 价值释放，研制不少于80项国家标准和技术文件，发布不少于30项重点标准。 ...

记者1月6日从全国数据标准化技术委员会获悉，2026年，全国数标委将聚焦数据要素价值释放，研制不 少于80项国家标准和技术文件，发布不少于30项重点标准。 （文章来源：证券时报） 1月5日，全国数据标准化技术委员会全体委员会议在北京召开。会上公布信息显示，2025年，全国数标 委研制了48项国家标准和技术文件，其中超过1/3的标准在制定过程中同步开展验证试点，标准供给 的"质"与"量"同步提升；与多个行业标委会、地方标委会建立协调机制，在自然资源、生态环境、疾 控、中医药、传媒、药品等有关部门大力支持和推荐下，设立6个行业应用组，标准化工作机制日趋健 全。 下一步，全国数标委将在优化标准供给，加快出台高质量数据集、数据匿名化流通等一批急需标准，研 制重要数据识别目录、全国一体化算力网等一批重点标准，布局智能体互联、具身智能等一批前沿领域 数据标准等方面持续发力，做好《国家数据标准体系建设指南》评估、修订，办好"标准周"等活动，提 高数据标准的社会认知度和影响力。 （据新华社电） ...

记者1月6日从全国数据标准化技术委员会获悉，2026年，全国数标委将聚焦数据要素价值释放，研制不 少于80项国家标准和技术文件，发布不少于30项重点标准。 1月5日，全国数据标准化技术委员会全体委员会议在北京召开。会上公布信息显示，2025年，全国数标 委研制了48项国家标准和技术文件，其中超过1/3的标准在制定过程中同步开展验证试点，标准供给 的"质"与"量"同步提升；与多个行业标委会、地方标委会建立协调机制，在自然资源、生态环境、疾 控、中医药、传媒、药品等有关部门大力支持和推荐下，设立6个行业应用组，标准化工作机制日趋健 全。 下一步，全国数标委将在优化标准供给，加快出台高质量数据集、数据匿名化流通等一批急需标准，研 制重要数据识别目录、全国一体化算力网等一批重点标准，布局智能体互联、具身智能等一批前沿领域 数据标准等方面持续发力，做好《国家数据标准体系建设指南》评估、修订，办好"标准周"等活动，提 高数据标准的社会认知度和影响力。（记者高亢） ...

Core Points - The National Data Standardization Technical Committee held its second "Standard Week" event in Nanjing, Jiangsu Province, emphasizing the acceleration of data standardization in China [1] - During the 14th Five-Year Plan period, over 120 national standards in the data field have been developed and published [1] - The committee aims to enhance the data standardization work mechanism, optimize standard supply, strengthen verification and implementation, and deepen international cooperation in data standards [1] Group 1 - The National Data Bureau's director highlighted the initial achievements in building a data standardization work system and developing standards since the committee's establishment [1] - The current standard-setting ecosystem is increasingly enterprise-driven, with 78% of participating organizations being companies [1] - Moving into the 15th Five-Year Plan, there will be continued encouragement for enterprises, especially private ones, to participate in standard formulation, prioritizing those with strong innovation capabilities and core technologies [1] Group 2 - During the "Standard Week" event, various working groups will focus on discussing 72 standards and 27 technical documents [1]

Group 1 - The core viewpoint of the article highlights the significant progress in China's data standard system construction during the "14th Five-Year Plan" period, which supports the accelerated development of the digital economy [1] - China has become the first country globally to classify data as a production factor, advancing data standardization efforts [1] - Over 120 national standards in the data field have been developed and published during the "14th Five-Year Plan," with widespread applications in key areas such as artificial intelligence, new infrastructure, and data trading [1] Group 2 - The implementation of data standards has empowered various industries, including industrial manufacturing, healthcare, and transportation [1]

Core Insights - The establishment of a standardized data set platform and data standards for humanoid robots in China marks a significant step towards creating a unified "data language" for the industry, facilitating data sharing and application across different entities [1][2][4] Group 1: Industry Ecosystem Support - The introduction of standardized data sets provides essential support for building a collaborative industry ecosystem, moving competition from hardware specifications to data ecosystem battles [2] - The lack of standardized data has been a bottleneck for the embodied intelligence industry, leading to increased R&D costs and hindering technological innovation [2] - The newly released humanoid robot data set standards clarify core requirements for classification, coding, data labeling, quality evaluation, and storage formats, enabling data sharing and compatibility [2][3] Group 2: Application in Multiple Scenarios - The value of humanoid robots is realized in specific application scenarios, which have varying data requirements, such as high-precision assembly data for industrial settings and interaction behavior data for home environments [3] - The standardized data set platform addresses the need for diverse data classification and quality evaluation criteria, significantly reducing the costs associated with adapting robots to different scenarios [3] Group 3: Global Competitive Advantage - The "standards + certification" approach provides a differentiated competitive advantage for China's humanoid robot industry, leveraging the rich diversity of manufacturing scenarios and service demands [4] - Standardization and certification enhance data security and reduce reliance on overseas data sets, positioning China to transition from a participant to a leader in the global humanoid robot market [4] - The establishment of a unified data "measurement" system is expected to drive the large-scale deployment and ecological prosperity of humanoid robots, ushering in a new era of human-robot collaboration [4]

Core Insights - Jiangsu Province has launched a unified data trading platform, which has listed 3,933 data products and attracted 1,864 data vendors and third-party service providers within five months of operation [1][2] Group 1: Data Management and Regulation - Jiangsu has restructured its data management system at provincial, municipal, and county levels following the national "Data Twenty Articles" policy, implementing the "Jiangsu Data Regulations" to clarify operational and regulatory responsibilities [1] - The establishment of a provincial-level data standardization committee aims to promote standardization and eliminate barriers to data circulation [1] Group 2: Data Resource Integration - The province is developing an integrated data resource system marked by a unified public data account, ensuring that high-value data is accessible and usable [1] - A total of 676 high-value data items have been identified and registered on a data resource platform, providing quality raw materials for data applications [1] Group 3: Data Trading and Utilization - A unified data trading platform has been established to streamline data transactions across the province, creating a standardized trading framework [2] - The launch of an integrated public data authorization platform has resulted in the development of 86 public data products, enhancing the usability of data [2] - Seven projects have been selected as national pilots for building trusted data spaces, facilitating secure cross-domain data flow [2]

Core Viewpoint - The event focused on building communication bridges and sharing data value, aiming to empower local development and promote industry evolution through data collaboration [1][3]. Group 1: Event Highlights - The event showcased three main highlights: the latest achievements of multi-field ecological partners, the formation of a "government-industry-academia-research expert group" to assist in product optimization, and the establishment of a long-term cooperation mechanism [3]. - The event emphasized that the data ecosystem is not a "solo performance" but a collaborative system, aiming to promote the prosperity and development of the data factor ecosystem [3]. Group 2: Regional Development - Wang Caibo, a member of the Standing Committee of the Yibin City Nanxi District, shared the district's experience in promoting industrial digitization and digital industrialization, highlighting significant achievements in deep application scenarios, solid manufacturing foundations, and talent team building [3]. - The district has released an opportunity list for 2025, unveiling eight major investment attraction projects to help enterprises share the dividends of digital economic development [3]. Group 3: Data Ecosystem Development - Liu Wenzhong, Deputy General Manager and Chief Technology Officer of People's Data, discussed the exploration of building a credible data ecosystem, focusing on creating a win-win ecosystem based on AI and data value [4]. - The event featured various government and enterprise units showcasing their latest technologies and solutions in data services, AI, and smart governance, aiming to enhance the quality and profitability of data products [4]. Group 4: Standardization and Governance - The national data standardization work is progressing steadily, with the establishment of the National Data Standardization Technical Committee planned for October 2024, which will oversee the formulation and revision of standards across various fields [4]. - The comprehensive data security solutions presented by various companies aim to promote the credible circulation and value release of data elements [6]. Group 5: Innovative Solutions - The "Gongxiangji Urban-Rural Agricultural Digital Platform" was introduced, which integrates a five-level data control system to enhance rural supply efficiency and service quality [5]. - Companies like Beijing Aoxing Beisi Technology and Shanghai Yunbao Shuying Data are developing integrated platforms to facilitate data compliance and circulation across multiple industries [6][7]. Group 6: Future Plans - The "People's Data Ecological Service 2025 Special Plan" was officially released, focusing on four core directions: value co-creation, supply-demand matching, talent foundation building, and ensuring data security and trustworthiness [7]. - The event will continue as a series, establishing a normalized mechanism for linking supply and demand in the data factor field to support data ecosystem construction [7].