| Abstract： |
The key to the digital transformation of the government is to establish a multi-scenario and intelligent data application system based on the sharing of government data, so as to realize the communication and collaboration between organizations and the platform reform of the whole government. At present, there are some problems in government data governance, such as the imbalance between data supply and demand, the sleeping of high-value data resources and so on. Based on the three-dimensional analysis of traditional “policy tools”, this paper takes 55 central government data sharing policies as research materials, and integrates the models of “data life cycle” and “fuzzy-conflict” to judge the implementation and understanding of government data sharing policies from a dynamic perspective. It is found that the implementation of government data sharing policy has gone through the process of trial implementation, administrative implementation, symbolic implementation, political implementation and trial implementation. The dynamic characteristics of fuzziness and conflicts prove that the central and local governments have a misunderstanding of the policy objectives and the tools used for policy implementation, and there is a phased imbalance between policy attention and policy clarity, which will eventually affect the implementation of the government data sharing policy. |
