A New Governance Architecture for Government Information Resources Based on Big Data Ecological Environment in China

Abstract

In this paper, the characteristics and effects of the data-open, function-reform and data-governance in the process of dealing with the challenges brought by the age of big data, were analyzed firstly. In China, these action plans adopted by governments have brought new changes in government functions restructuring, leading to a new pattern of government information resources management. Secondly, the two typical models of Chinese government information resources management, which came out with IT involving and E-government system getting more involved, were summarized. As well as the application features and scenarios of these two models were compared. Finally, according to the trend of Big-Data Bureau widely established in China, Heterogeneous business system formed and massive data generated in various formats, a new pattern of government information resources governance will emerge, that is, big data service centers and intelligent archives will become the basements for storage, accessing, utilization and long-term preservation of government data resources. The value of big data service center is to provide broad and intelligence information service. The Intelligence Archive will provide professional archives management for society leaving tracks, evidence persistency, and national memory. In this new patter, three aspects of the problem need to focus on solving by adopting various key technologies based on the 'ABC' Ecological System. The First is the rational allocation of functions between the Big-Data Bureau and Intelligent archives; the second is to capture the valuable data automatically from E-government system using intelligent sensor technology; the third is the implementation of resources automatic archiving, that is, data migrating from e-government business systems to the large data centers and an intelligent archive by using intelligent artificial and machine learning technologies.