2017年复旦大学师生中文电子期刊资源访问行为数据集

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

通过ERU系统采集2017年复旦大学师生访问中文电子期刊数据库的行为数据,经过数据清洗和数据脱敏等预处理,最终得到3074443条记录。数据集对把握高校用户电子资源需求动态、了解学术信息行为、追踪学科热点轨迹,以及开展数据驱动下的智能图书馆、智慧图书馆建设有丰富的研究和应用价值。

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.