Comparative and Evaluative Research on the Data Infrastructure Policies of Central and Local Governments in China Before and After the Implementation of the "Twenty Measures for Data"

Authors

Haiqun MA, Research Center of Information Resources Management, Heilongjiang University, Harbin 150080
Tongtong YU, College of Information Management, Heilongjiang University, Harbin 150080
Hangong WANG, College of Information Management, Heilongjiang University, Harbin 150080
Tao ZHANG, College of Information Management, Heilongjiang University, Harbin 150080

Keywords

text similarity, data infrastructure system, "Twenty Articles on Data", data policy evaluation

Abstract

[Purpose/significance]To explore the direction for provincial governments to further plan data policies, with the aim of providing support for the establishment and improvement of data infrastructure systems in various regions. [Method/process] This article adopts the method of text similarity calculation to compare the policy texts of 22 provinces' data policies released before 2023 with the "Twenty Data Articles", and selects the "Twenty Provincial Version Data Articles" of 8 provinces for policy evaluation research. [Result/conclusion]The data shows that in terms of comparing data infrastructure systems, the data policies introduced by 22 provincial governments before 2023 show a relatively high overall similarity level compared to the "20 Data Policies". Although the specific sub projects of the "Four Major Tasks" have a high overall similarity level, the average similarity level of each sub project is not high. In termsof policy evaluation for the "Twenty Provincial Data Articles", research has found that the maximum and average similarity values of texts have overall improved; In terms of data property rights and revenue distribution, the maximum similarity value is relatively scattered; In terms of circulation transactions and security governance, the performance of maximum similarity is relatively concentrated. Overall, the data infrastructure systems developed by each province have areas for mutual learning.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2025.02.003

Recommended Citation

MA, Haiqun; YU, Tongtong; WANG, Hangong; and ZHANG, Tao (2025) "Comparative and Evaluative Research on the Data Infrastructure Policies of Central and Local Governments in China Before and After the Implementation of the "Twenty Measures for Data"," Scientific Information Research: Vol. 7: Iss. 2, Article 3.
DOI: 10.19809/j.cnki.kjqbyj.2025.02.003
Available at: https://eng.kjqbyj.com/journal/vol7/iss2/3