数据质量合规的概念、问题及对策

摘要：

【目的】近年来，在政策推动下数据产业快速发展，“数据合规”成为重要领域，确保数据合规是数据治理工作中的一项重要目标。然而数据质量合规问题隐患普遍存在，应用领域对于数据质量合规的问题并未给予足够的重视。对相关概念问题进行明确揭示将有助于应用领域中数据质量的提高。【方法】通过引用标准进行概念辨析、为概念中涉及的“合规性”列举法律依据、通过举例列举出按照这一概念内涵下存在的问题及其可能产生的影响。【结果】通过这一过程，证明了数据作为一种商品，同样存在质量方面的合规问题。【结论】建议在数据管理的工作中应引入数据质量合规的概念，使用外部规范的数据字典并加强自身数据的规范性。

Abstract:

[Objective] In recent years, the data industry has developed rapidly with the policy incentives. "Data compliance" becomes an important field, and ensuring data compliance is a crucial goal in data governance work. However, data quality compliance issues are prevalent, and application domains do not give sufficient attention to data quality compliance problems. Clearly revealing related conceptual issues will help improve data quality in application domains. [Methods] This paper conducts conceptual analysis by referencing standards, lists legal bases for "compliance" involved in the concepts, and identifies problems existing under this conceptual framework and their potential impacts through examples. [Results] Through this process, it demonstrates that data, as a commodity, also has compliance issues in terms of quality. [Conclusion] This paper ultimately recommends introducing the concept of data quality compliance in data management work, using externally standardized data dictionaries and strengthening the standardization of one's own data.

引用格式：孙文峰,王世强.数据质量合规的概念、问题及对策[J].标准科学,2025(12):51-55.

作者简介：孙文峰，本科，副研究员，研究方向为数据标准化。王世强，硕士，高级工程师，研究方向为智慧重载运输。