A Study of a Secure and Transparent Governance Framework for Blockchain in Digital Government
Chao Yuan, Zhiyong Liu, Aoqi, Bayaer · Frontiers in artificial intelligence and applications · 2024
This study proposes a secure and transparent governance framework for blockchain in digital government, aiming to solve the problems of data quality, open timeliness, sharing awareness, interactive feedback, technical standards and data regulatory security in the existing digital government practice. It provides new perspectives and solutions through in-depth analysis of the intrinsic logical connection between blockchain technology and digital government governance. Through the analysis of a city’s “directory blockchain” scenario, the results show the feasibility and effectiveness of the framework, proving the accessibility of open and shared governance of on-chain data. It is concluded that the framework can realize the open sharing and governance of government data and promote the development of digital government.