第四，驱动数据赋能，促进治理能力提升。交通部、生态环境部、广东、山东、贵阳等地方、部门推进政府数据向社会开放。气象局、上海、 贵州等积极推进数据开发利用，释放数据红利。南京、扬州仪征、深圳宝安等地积极运用数据加强社会治理，辅助决策。 2019数字政府服务能力暨第十八届中国政府网站绩效评估结果发布会现场 人民网北京12月6日电（梁秋坪）6日上午，由中国电子信息产业发展研究院指导、中国软件评测中心主办的"2019数字政府服务能力暨第十八 届中国政府网站绩效评估结果发布会"在京召开。本次大会主题是：打造智慧服务型政府，助力国家治理能力现代化。来自科技部、工业和信息化 部、交通运输部、商务部、北京市、浙江省、福建省、广西壮族自治区、四川省、青岛市、深圳市等国务院部门、省（自治区、直辖市）、地市和 区（县）政务信息化主管领导、代表，以及20余家新闻媒体记者共400余人参加了本次会议。 中国电子信息产业发展研究院黄子河副院长出席会议并致欢迎辞，中央党校（国家行政学院）教授、国家信息化专家咨询委员会委员汪玉凯就 数字化新趋势与数字政府建设做了主题发言。在会上，中国软件评测中心副主任吴志刚发布了《2019年中国数字政府服务能 ...

省委书记冯飞主持会议，省委副书记、省长刘小明等省领导出席。 本报讯 12月30日，省委召开专题会议，听取全省政务数据共享服务门户运行、政务数据共享提升专项 行动等情况汇报，部署下一步重点工作。 会议指出，政务数据共享是智慧海南建设、数字政府建设的基础性工作，是全面提升行政效能的关键因 素。要进一步加强政务服务系统顶层设计，明确改革目标，统一数据底座，细化实施路径，打破思维定 势和路径依赖，强化部门协同和服务集成，统分结合推进部门职能优化和系统软硬件建设，促进全省政 务数据安全有序高效共享利用。要进一步提升政务数据共享水平，坚持需求导向，突出重点任务和高频 业务，强化数据源头治理，打通数据共享堵点，精准提出数据需求，驱动政务数据共享良性循环。要进 一步提高政务数据质量，丰富政务数据资源，动态更新基础数据，实现"一处变更、多处联动"，提升数 据共享的标准化和实效性。要坚持应用导向，准确把握海南自由贸易港建设新形势新要求，扎实抓好风 险防控，以高水平安全保障高质量发展；多措并举服务招商引资，为企业提供全生命周期服务，打造精 准数据服务链；聚焦国土空间治理、生态环保、基层治理等重点领域，深挖数据潜能，打造行业领域集 ...

滨州日报/滨州网讯 12月23日，市政府常务会议举行会前学法，专题学习《政务数据共享条例》。受市 委副书记、市长李春田委托，市委常委、副市长、市政府党组副书记胡薄主持会议。 原标题：滨州市政府常务会议举行会前学法 会议强调，要凝聚以数聚能的思想共识，深刻认识条例实施的重大意义，树牢数据共享、服务为民理 念，坚持把政务数据共享摆在突出位置，为品质滨州建设提供坚实的数据保障。要形成以治增效的制度 体系，健全目录管理制度，优化供需对接机制，强化全流程安全监管，加快完善政务数据共享的制度体 系和运行机制。要深化以用惠民的实践成效，开展政务数据共享效能提升专项行动，坚持数据赋能，推 动政务数据共享与业务工作深度融合。要形成以法护航的工作合力，严格落实政务数据共享责任制，推 动形成重视数据共享、规范数据使用、保障数据安全的良好氛围。 ...

Core Insights - Yiwu is transforming its global image with the launch of the "6.0 generation market," integrating digital trade elements such as AI navigation and smart settlement, making global buying and selling accessible via mobile devices [1] - The Yangtze River Delta (YRD) region is enhancing digital infrastructure and trade efficiency through collaborative efforts in data circulation and government services, exemplified by the rapid flow of orders and reduced operational costs for businesses [1][2] Digital Infrastructure - The YRD's digital trade efficiency relies on robust digital infrastructure, including extensive 5G networks and data circulation facilities, ensuring low-latency and high-efficiency data flow [2] - The region has established a "soft connection" for data elements, creating a trading platform and standard recognition system to facilitate data circulation [2] Government Data Collaboration - The YRD has broken down bureaucratic barriers by implementing shared electronic certificate standards, allowing for cross-province recognition of over 40 types of high-frequency electronic certificates [3] - More than 6.7 billion pieces of government data have been shared, supporting 173 government services that can be accessed online, significantly reducing time and cost for businesses [3] Cross-Border E-Commerce Optimization - The YRD is enhancing cross-border e-commerce efficiency through institutional innovations, such as the "single window" for international trade and a collaborative customs model that reduces costs for businesses [4] - The signing of the "Silk Road E-commerce" digital technology application cooperation agreement aims to streamline customs processes, potentially allowing for faster clearance times [4] Industry Digitalization - The YRD is focusing on digital transformation in manufacturing, with initiatives like "smart upgrades" and "digital transformations" to enhance production efficiency and support digital trade [6] - The region's manufacturing capabilities are being bolstered by smart factories and platforms that leverage AI to optimize supply chains and order fulfillment [7] Replicable Efficiency Models - The YRD is developing replicable models for digital trade efficiency, aiming to streamline processes and reduce administrative burdens for cross-border businesses [8] - The region is fostering collaboration across cities and provinces to create industry alliances that support standardized practices and shared services [8]

Core Points - Guangzhou has introduced new regulations for data collection to alleviate the reporting burden on grassroots levels and promote data sharing in accordance with the State Council's directives [1][3] Group 1: Responsibilities and Management Mechanism - The regulations clarify the responsibilities of municipal and district governments, data management departments, and data collection units, establishing a clear and efficient data collection system [3] - The unified collection channel "Sui Biao Tong" is mandated for data collection without IT system support, preventing data submission through other channels, thus reducing the burden on grassroots [3] Group 2: Data Resource Sharing and Management - The regulations require the compilation and integration of existing data resources into the municipal big data center to expand shared data resources [5] - A comprehensive management process for data collection is outlined, addressing issues such as duplicate collection and data quality, with a focus on returning collected data to the executing units [5] Group 3: Monitoring and Supervision - A monitoring mechanism is established to track the effectiveness of the regulations, including metrics for reducing the number of forms and the workload of data reporting [5]

Core Insights - The article discusses the upgrade of the Liaoning Provincial Government Procurement Network, which aims to enhance the business environment by improving credit data sharing and the social credit system [1] Group 1: Upgrade Implementation - The upgrade was completed on September 20 and innovatively achieved deep integration with the "Credit China" platform, marking a significant advancement in breaking down departmental data barriers [1] - The upgrade aims to optimize the government procurement business environment and support the construction of a unified national market [1] Group 2: Efficiency Improvement - Prior to the upgrade, credit verification required manual cross-platform operations, which were time-consuming and costly for agencies, leading to potential misjudgments in supplier credit [2] - Post-upgrade, agencies can obtain comprehensive credit profiles of suppliers within 3 seconds, improving credit verification efficiency by over 90% and ensuring fairness in the evaluation process [2] Group 3: Regulatory Enhancement - The upgraded system introduces an intelligent credit review function that conducts preemptive credit checks on agencies and suppliers applying for procurement [3] - A "one-vote veto" mechanism is implemented to block entities with serious credit violations from participating in government procurement, shifting the regulatory approach from post-review to proactive prevention [3] Group 4: Data Sharing and Collaboration - The collaboration between the Liaoning Provincial Finance Department and the Development and Reform Commission represents an innovative practice in integrating and utilizing government data resources [4] - The initiative establishes a standardized, replicable data sharing mechanism that reduces the burden on businesses by minimizing the need for repeated credit proof submissions [4] - Future plans include deepening cross-departmental collaboration and exploring further integration of credit information with various sectors, enhancing data value and simplifying user operations [4]

Core Viewpoint - The National Data Bureau is addressing the issue of excessive reporting burdens on grassroots workers by promoting data sharing and system integration to streamline processes and reduce the need for repetitive data submissions [1][2][4] Group 1: Current Challenges - Grassroots workers face overwhelming reporting tasks, leading to inefficiencies and wasted resources, which detracts from their ability to engage with the community and solve real problems [1] - Issues such as multiple submissions and varying data requirements from different departments exacerbate the reporting burden [1][3] Group 2: Technological Solutions - The National Data Bureau emphasizes the use of digital tools to optimize government processes and break down data silos, with significant advancements in digital infrastructure already achieved [2] - As of August 2025, over 11,000 resources, products, and services are registered on the national public data resource platform, supporting over 540 billion data sharing instances [2] Group 3: Successful Case Studies - Initiatives like Chongqing's "One Table Pass" application have successfully reduced the number of reports, processing time, and personnel involved by over 60% [2] - The "Cloud Table Pass" platform in Yunnan allows for efficient data retrieval and generation, significantly alleviating the reporting burden on grassroots workers [2] Group 4: Future Directions - To effectively transition from "requesting data from grassroots" to "retrieving data from systems," the establishment of unified data standards and governance mechanisms is essential [3] - Enhancing data quality control and utilizing advanced technologies like big data and AI can improve data accuracy and support informed policy-making [3][4] - Continuous development of data sharing platforms is necessary to address key challenges such as standardization, security, and inter-departmental collaboration [4]

Core Viewpoint - The Jinan Municipal Market Supervision Administration held a conference to promote the "Regulations on Government Data Sharing," focusing on its significance, system design, key measures, and implementation requirements [1] Group 1: Implementation and Challenges - The conference analyzed the current challenges and difficulties faced by the market supervision bureau in government data sharing, outlining key tasks and implementation paths for the next phase [1] - Emphasis was placed on the need to fully implement the data officer system and strengthen the construction of the data liaison officer team [1] Group 2: Data Utilization and Development - Data liaison officers are required to enhance data thinking, fulfill their responsibilities, understand data sources, and explore business application scenarios [1] - The goal is to promote the efficient use of government data in application scenarios, establishing a virtuous development mechanism of "promoting sharing through use and improving quality through sharing" [1] Group 3: Strategic Goals - The Jinan Municipal Market Supervision Administration will continue to align with the overall deployment of "Digital Jinan," deepening government data sharing and application to optimize the business environment and enhance governance capabilities [1]

Core Points - The meeting emphasized the importance of enhancing high-quality data supply and understanding the current state of government data resources [1][2] - The "Regulations on Government Data Sharing" is the first administrative regulation in China specifically aimed at promoting government data sharing, which is expected to significantly improve digital governance and service efficiency [1] - The meeting called for a comprehensive approach to data management, including standardization, cataloging, and efficient sharing, to create a unified digital resource account for the city [2] Group 1 - The meeting highlighted the need to strengthen the awareness of responsibility and urgency in legally sharing data, and to transform government governance concepts and methods [1][2] - It was noted that a complete data quality management system should be established to enhance the efficiency of data sharing [2] - The meeting stressed the importance of promoting high-value applications of data to better integrate development and security, and to empower various industries [2] Group 2 - Each level of government and department is required to strengthen accountability, improve mechanisms and policy measures, and enhance training to boost data literacy and application capabilities [2] - The meeting underscored the necessity of a coordinated approach among city and district levels to ensure effective implementation of data sharing initiatives [2]

Core Points - The Jiangsu Provincial Data Bureau has issued a "Work Manual for Implementing the Government Data Sharing Regulations," aimed at facilitating faster data sharing among government departments, marking a national first [1] - The "Government Data Sharing Regulations," approved by the State Council, took effect on August 1, focusing on catalog management, sharing usage, and platform support to enhance digital governance and service efficiency [1] Group 1 - The work manual consists of 7 chapters, 24 sections, and 35 subsections, aligning with the specific provisions of the regulations and integrating local laws and government rules regarding data sharing [2] - The manual clarifies the scope of application, covering data sharing activities across public management and service institutions in the province, beyond just government departments [2] - It establishes a layered responsibility mechanism, detailing the roles of chief data officers, data sharing agency heads, data reviewers, and data operators, creating a clear and defined management system [2] Group 2 - The manual standardizes operational processes, relying on public data platforms at all levels, and specifies procedures for data catalog management, resource management, sharing usage, and monitoring and evaluation [2] - It provides standardized operational guidelines to ensure that the data sharing process is efficient, compliant, and traceable [2]