Study On The Problems And Countermeasures Of Statistical Data Governance Of H County Government

In recent years,with the rapid development of Internet technology,data has become an important strategic resource,and the concept of "data governance" has emerged accordingly."Data governance" is a series of continuous work processes carried out to achieve the maximization of data asset value.It was first initiated and promoted by enterprise data governance departments,and its ultimate goal is to enhance the value of data.The advent of big data has called for a new round of data revolution,and China has also gained a deeper understanding of data and governance:the Third Plenary Session of the 18 th Central Committee of the Communist Party of China made top-level design for the comprehensive deepening of reforms and identified "advancing the modernization of the national governance system and governance capacity" as the overall goal of the comprehensive deepening of reforms;The 20 th National Congress of the Communist Party of China clearly stated the need to build a "cyberpower and a digital China".As data becomes the most fundamental and important resource in the information age,"data governance" has become the most critical and core part of national governance capacity.With the deepening development of digital transformation and the rapid growth of the digital economy,the integration between digital technology and social governance continues to deepen,which promotes the accelerated transformation and restructuring of the economy and governance models.As a major data producer,government statistical agencies need to further explore the value of government statistical data and undertake more advisory roles for economic and social development,which is currently a pressing issue.Grassroots government statistics are the closest link to the source data in the entire government statistical data chain and are more capable of identifying outstanding issues in the data governance process.Therefore,it is necessary to study the government statistical data governance work in H County starting from the grassroots government level.This study is supported by government governance theory,collaborative governance theory,and comprehensive quality management theory.Based on the concepts of "government statistics" and "government statistical data",it attempts to propose the concept of "government statistical data governance".H County government statistical data governance work is selected as the research object for in-depth exploration.By using methods such as literature analysis,questionnaire surveys,and in-depth interviews,this study investigates various shortcomings in the current government statistical data governance work in H County.Firstly,the basic situation of H County’s government statistical data governance work was understood through on-site visits.Secondly,by distributing questionnaires and conducting interviews to the four governing bodies of H County Statistics Bureau,the economic management department of H County,various towns and streets of H County,and enterprises,the four problems currently existing in H County’s government statistical data governance were explored,namely,the low quality of government statistical data,low efficiency of statistical data sharing and application,insufficient data governance capabilities of government statistical personnel,and low degree of enterprise cooperation.Thirdly,the four problems of government statistical data governance in H County are analyzed in depth,and it is found that there are four deep-seated reasons behind these problems,namely,the incomplete data quality assurance system,the inadequate mechanism for sharing and using data among multiple entities,the inadequate measures for safeguarding and nurturing governance talents,and the relatively weak supervision of government statistical law enforcement.Fourthly,based on the previous research,this study proposes corresponding suggestions for improving H County’s government statistical data governance level from the perspectives of quality governance,collaborative governance,talent governance,and law enforcement governance,such as improving the data quality assurance system,establishing and improving collaborative governance mechanisms,optimizing the talent training and guarantee mechanism,and strengthening statistical law enforcement supervision.