Research on the difficulties and countermeasures of data quality management in smart governance

Data quality is the foundation for implementing smart governance. Based on a case study of the construction of smart governance projects in City D and data collection from different channels, this article aims to analyze the challenges and their reseasons for data quality management and propose the countermeasures from the perspective of data users. The challenges are inadequate management systems and mechanisms, mismatched data quality evaluation indicators, and obstructed information transmission during collaboration. The reasons include the particularity of quality management requirements in project construction, the difficulties in matching data resources with usage needs, and consensus on quality management difficult to support management execution because of the inertia of thoughts. The following suggestions are brought forth: enhancing the degree of consensus on quality management concepts, upgrading the dynamic ability of quality evaluation methods ,and optimizing the refinement granularity of data collaboration strategies.