Valuation Of Government Data Assets

In recent years,big data has developed rapidly and widely used in various fields and industries.Data has become a new type of "capital" that drives economic and social development,and its importance is like the "new oil" of the future.In order to improve the management of government data assets,promote the maximization of government data,and implement government macro control,it is important to transform data into data assets and properly evaluate government data assets.This paper aims to explore and study the concepts related to government data assets,combine the characteristics of data assets themselves with various application scenarios,establish a comprehensive index system to evaluate the value of government data assets based on the theory of organizational semiotics,improve the traditional cost method,combine hierarchical analysis and the use of global fuzzy evaluation to establish a value evaluation system for government data assets,and further verify the value of government data assets through actual cases.The relevant conclusions will be further verified by realworld cases.After reading many academic research works,this paper first summarizes the definition,classification and characteristics of national data,and reviews the meaning and value of national data assets and commonly used valuation methods.After a comprehensive analysis of the factors affecting the value of government data assets,this paper combines the theory of organizational semiotics to establish a system of indicators to evaluate the factors affecting the value of government data assets.Finally,this paper calculates the weight of each evaluation indicator system based on the cost method,combines hierarchical analysis and global fuzzy evaluation to calculate the cost method adjustment coefficient,and evaluates the value of real cases to test the validity of the model.Through the research,In order to analyze the applicability of the evaluation method,this paper first analyzes the factors affecting the value of data assets,and establishes an indicator system to evaluate the value of government data assets from three perspectives:subjective,scenario,and purpose based on the theory of organizational semiotics.Among them,three secondary indicators are defined among the subjective indicators,four secondary indicators among the scenario indicators,and four secondary indicators among the purpose indicators,for a total of 11 secondary indicators.In addition,for each secondary indicator,one to four tertiary indicators are defined to further understand and evaluate the secondary indicators,for a total of 21 tertiary indicators.Second,this paper developed a procedure for valuing government datasets by integrating different valuation methods.Based on the cost method,hierarchical analysis method,and full fuzzy evaluation,we combine the indicator system established for the valuation of government data sets to calculate the adjustment coefficients of government data sets and modify the cost method results to make the evaluation results more informative.Third,this study selects the data sets of Taishi Transportation Bureau and Zhejiang Provincial Taxation Bureau as the evaluation objects.The cost value of the selected SZ Municipal Taxation Bureau data file is 1,912,120,000 yuan,and the adjustment factor is calculated to be78.91%,increasing the value of the data file to 3,420,970,000 yuan;the cost value of the data stock of passenger transportation and freight transportation in the selected transportation sector of TY City is 1,671,000 yuan.671,000 yuan,and the adjustment factor is calculated to be 71.82%,resulting in a final data stock value of 2,871,100 yuan.