Abstract: ［Purpose/Significance］This paper aims to provide theoretical references and solutions to solve the problem of government data quality in the big data era, and cope with the data governance dilemmas. ［Design/Methodology］This study built a model for the influencing factors of government data quality based on Adaptive Structuration Theory, explored the factors affecting government data quality from the structural sources, used the data of government hotline 12345 to verify the influencing factors, and leveraged random forest algorithm to evaluate the importance.［Findings/Conclusion］Based upon the analysis results, this study proposed that governance and supervision should be strengthened, data management process should be standardized by a system, and a professional big data team should be built so as to improve the ability and effect of government data quality governance.［Originality/Value］From the structural level, this paper explores the influencing factors of government data quality and builds a theoretical model to solve the problems of current data governance and application and improve the effectiveness of social governance.

Key words: Government data quality, Government data governance, Data quality governance, Adaptive Structuration Theory, Government hotline