| The emergence of the Internet and the development of science and technology have broken the limitation of information transmission time and space,and promoted the increase of information at an amazing speed.The era of big data has come.From the perspective of the era of big data,the data of various industries is growing explosively.How to use a better technology to achieve the acquisition and effective analysis of these information,so as to dig out the required economic value and social value has become an important problem in the information age.Data governance is the core to solve the data challenge,which can release the value of data assets.The huge amount of data owned by government departments is far beyond the reach of other fields.The public departments have not fully exploited the potential value of data generated by themselves,collected or generated externally.The "data revolution" still needs to start from government departments.The Third Plenary Session of the 18th CPC Central Committee proposed to "promote the modernization of national governance system and governance capacity".Government data governance is the key to promote the modernization of national governance system and governance capacity,and plays a fundamental role in realizing the overall goal of comprehensively deepening reform.As the basic Instrument of government data governance,the rationality and scientificity of policy Instruments are very important.This paper first makes a careful study of the relevant literature on data governance and policy Instruments,and finds that the existing research on data governance policy Instruments in China is relatively less systematic.We put forward a new definition of data governance,and based on the policy Instrument theory and data life cycle theory,analyzes and mines the government policy text by using literature research method,content analysis method and other research methods.The specific measures are as follows:First of all,from the perspective of policy Instruments,taking the data governance policy text as the research object,from the "magic weapon of Peking University" and the official website of the government,a comprehensive and detailed search of China’s national level data governance policy text is carried out,and 30 most relevant policy documents are selected.Secondly,based on the existing theoretical research results of policy Instruments,combined with the data life cycle theory and the division of data by relevant scholars,the three-dimensional data governance policy analysis framework of basic policy Instrument dimension,data life cycle dimension and data type dimension are established to provide support for the subsequent policy content analysis.Then,the data governance policy text is coded according to the terms,and the coding is classified into categories.The paper analyzes the types and time of data governance policy documents,and finds that: the application scenarios of policy documents are rich,and with the passage of time,the number of policy documents issued is increasing year by year.Through statistical analysis of different policy Instruments,it can be found that the use of supply policy Instruments is much higher than that of demand and environment policy Instruments.From the data lifecycle,the policy Instruments of government data governance in China cover all stages of the data life cycle,and the policy Instruments in the two stages of data archiving and preservation,data acquisition and utilization occupy a high proportion.From the data type dimension,data governance policies apply policy Instruments in each data type,but the use of policy Instruments is different among different data types.From the three-dimensional analysis of policy text,the paper concludes that the layout of data governance policy Instrument system is basically completed,the application focus of data governance policy Instruments is shifted and the distribution of data governance policy Instruments is unbalanced.Finally,the paper summarizes the problems existing in the use of policy Instruments for government data governance,including: unreasonable distribution of policy Instruments,homogenization of choice and centralization of use,and suggestions on rationalization of policy Instrument layout,targeted selection and optimization of use structure are put forward. |