Effective Public Data Governance:A Configurative Analysis of 38 Countries
Public data is a crucial new production factor in the context of the digital economy.In public data gover-nance,there is an urgent need to develop a set of solution that gain broader international recognition to promote resource data and maximize the value of public data.This paper uses fuzzy-set qualitative comparative analysis(fsQCA)to con-duct conditional combination analysis on 38 countries worldwide,exploring the synergistic effects and driving paths of technological,organizational,and environmental factors on public data governance.It reveals the core conditions and complex interactions that influence public data governance.The findings suggest that there are multiple equivalent explanatory pathways for public data governance,which can be summarized into two models:external digital relation-ship driven and internal institutional driven.These results help explore multi-stakeholder governance policies for public data that suit global development.Based on balancing public data privacy rights and openness,they promote the estab-lishment of an open and mutually beneficial new framework for public data governance.
public datadata governancequalitative comparative analysisconfigurative analysis
万方数据
维普
