《行动方案》明确"五个稳步提升"总体目标：名录库管理、统计数据质量、统计服务质效、依法统 计水平、基层统计能力全面进阶。从具体目标来看，《行动方案》对部分重点问题明确了量化目标，如 名录库管理方面，明确提出"无违规入库，不'带病'在库"；数据质量全流程管控方面，明确提出，"省、 市、县"三级每月按不重不漏原则，同步开展大数据比对。 "统计基础巩固不是一阵风，需要久久为功。"省统计局相关负责人表示，为避免行动"走过场"，江 苏建立多重保障机制：成立领导小组统筹协调，定期督导工作进展；以"解决问题、提升质效"为唯一评 判标准，力戒形式主义；将行动中好做法提炼为长效机制，形成可复制的制度成果。据悉，2026年底省 统计系统还将开展专项评估，既看短期成效更重长远影响，评估结果用于优化后续工作，力争使各项措 施发挥强基固本的务实作用，为"十五五"江苏统计事业高质量发展筑牢根基。 《行动方案》聚焦统计调查业务关键环节，以"巩固好经验、突破薄弱点"为核心思路，涵盖了统计 调查业务工作关键环节，从名录库管理、统计数据质量、统计服务质效、防治统计造假以及基层能力建 设等五个方面，细化提出14项工作举措。呈现四大鲜明特点：坚持目 ...

Core Points - The meeting emphasized the importance of preventing statistical fraud and improving data quality as a fundamental requirement for modern governance [1][2] - The leadership highlighted the need for strict enforcement of laws and regulations related to statistics, enhancing oversight and coordination among various supervisory bodies [2] - The meeting called for the advancement of statistical modernization reforms, including the adoption of new technologies such as big data and artificial intelligence [2] Group 1 - The meeting was chaired by the Provincial Secretary Zhao Yide, with key officials in attendance, including the Provincial Governor Zhao Gang and the Chairman of the Provincial Political Consultative Conference Xu Xinrong [1][3] - The National Bureau of Statistics emphasized the extreme dangers of statistical fraud and the urgency of its prevention, aligning with the central government's directives [1][2] - The meeting aimed to strengthen the monitoring and analysis of economic operations, ensuring that statistical data serves high-quality development [2] Group 2 - The meeting stressed the need for a comprehensive approach to statistical work, including legal education and the establishment of a robust statistical workforce [2] - It was noted that the focus should be on key economic and social development targets, enhancing the effectiveness of statistical data interpretation and publication [2] - The leadership underscored the importance of maintaining the authenticity, authority, and scientific nature of statistical data [2]