Abstract:

This dataset collects the user entry and exit data, user borrow and return data and user seat reservation ata from September 1, 2020 to August 31, 2021 of Jiangsu University Library access controlmanagement platform, circulation system and seat reservation system. The data in the three businesssystems are processed and associated with the users’ ID through time, resulting in a total of five data files.The processed data files are more standardized and complete, and the characteristics and rules of users’behavior in the library in different time and space dimensions can be analyzed and predicted by datamining, so as to optimize the library information service and management, and improve  the service level.