基于数据治理框架的海关数据入湖标准研究

Research on Customs Data Entering Lake Standards Based on a Data Governance Frameworks

摘要: 协同海关业务全链条数据的全生命周期管理，建立健全海关数据入湖标准，实现海关数据资源高效配置和高质量供给，对于科学、系统、规范推进智慧海关建设具有重要意义。针对海关数据湖规划与建设方案中的标准化与规范化问题，基于国际和国内具有广泛影响力的数据治理框架与标准，结合海关数据治理工作实际，本文提出了海关数据入湖的标准体系，涵盖了数据分级分类原则、数据质量管控、数据确权以及“一数一源”实现策略，并探讨了人工智能技术在海关数据入湖方面的潜在应用。

Abstract: The full lifecycle management of collaborative customs business data across the entire chain, the establishment and improvement of customs data entering lake standards, and the efficient allocation and high-quality supply of customs data resources are of great significance for the scientific, systematic, and standardized promotion of smart customs construction. In response to the standardization and normalization issues in the planning and construction of customs data lakes, based on internationally and domestically influential data governance frameworks and standards, and combined with the actual work of customs data governance, a standard system for customs data entering lake is proposed, covering core contents such as principles of data grading and classification, data quality control, data rights confirmation, “one data, one source” strategy, and exploration of artificial intelligence technology in customs data entering lake. Additionally, the potential applications of artificial intelligence technology in the context of customs data entering lake are explored.