Dataset of Chinese Electronic Journals
Access Behavior at Fudan University in 2017

Abstract

Abstract: The dataset of Chinese electronic journals access behavior at Fudan University in 2017 was collected by the ERU system. There are 3,074,443 records totally in the dataset after data cleaning and masking. The dataset has rich research and application value in identifying the electronic resources demand of university users, understanding the academic information behavior, tracing the hotspots and trends of disciplines, and developing data-driven intelligent libraries and smart libraries.

Key words: Chinses electronic journal database, User access behavior, ERU system, Fudan University, 2017

Fu Anna, Wang Dongwei, Hu Jie, Zhang Jilong, Yin Shenqin. Dataset of Chinese Electronic Journals Access Behavior at Fudan University in 2017[J]. Libraly Journal, 2020, 39(7): 145-148.

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Dataset of Chinese Electronic Journals Access Behavior at Fudan University in 2017

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