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统一社会信用代码数据质量管理服务
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湖南省质标院以“四个坚持”推动统一社会信用代码数据质量管理标准化
Core Viewpoint - The Hunan Provincial Quality and Standardization Research Institute (Hunan Provincial Quality Institute) is enhancing the quality management of unified social credit code data through a framework of "four persistences," which focuses on comprehensive management of data quality to support the construction of a social credit system in Hunan Province [1][4]. Group 1: Data Quality Management - Data quality is essential for the construction of a modern social credit system and high-quality development, with Hunan Province having assigned unified social credit codes to 7.677 million organizations, maintaining a problem data rate below 0.002% for three consecutive years [1][2]. - The Hunan Provincial Quality Institute has established a governance framework that integrates policies, platforms, and systems to solidify the foundational role of unified social credit codes [1][2]. Group 2: Source Governance and Efficiency - The institute emphasizes source governance by clarifying data management responsibilities with registration departments, ensuring data is standardized from the point of entry, and implementing a responsibility mechanism for data entry and correction [2]. - A direct connection has been established between registration departments and the Hunan Provincial Government Information Center, improving data return efficiency by 20% [2]. Group 3: Data Collaboration and Dynamic Monitoring - The unified social credit code serves as a "lifetime digital ID" for business entities, facilitating the deepening of reforms and breaking down data barriers, with the institute collaborating with various departments to enhance data quality management [3]. - A comprehensive quality control system has been developed, including quarterly reports and dynamic monitoring models to ensure real-time data quality assessment and security [3]. Group 4: Future Development - The Hunan Provincial Quality Institute aims to promote standardized data quality management on a national level, contributing significantly to the construction of a modern social credit system [4].