Data Quality Analysis and Integration in University Information Systems

Abstract

University information systems (UIS) are an important part of digital campus, which makes the management and decision-making more convenience. With mass of data emergence, people have to think of data quality and data integration due to the issues created by the gap between the legacy system and the current systems. The effect of UIS application is directly related to data quality. Furthermore, there exists data isolation between different systems, which leads to data inconsistency and difficulties in sharing information. Consequently, we need to analyze the existing data quality and propose relevant basic concepts. This paper takes Shanghai Ocean University (SOU) digital campus construction as an example to show the actual application of UIS data integration.