Digital campus construction involves the analysis, classification, and integration of existing raw data. This article describes the process of data pruning using ID3 algorithm, for the purpose of eliminating redundant attributes in the data and avoiding bias due to excess values in the integration process. It offers practical implications in data integration for colleges and universities who are designing their digital campuses.