2018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 2018

作　　者：汪东伟[1,2] 伏安娜 胡杰[1,2] 张计龙 殷沈琴[1,2] Wang Dongwei;Fu Anna;Hu Jie;Zhang Jilong;Yin Shenqin(Institute for Humanities and Social Science Data,School of Data Science,Fudan University;Fudan University Library)

机构地区：[1]复旦大学大数据研究院人文社会科学数据研究所,上海200433 [2]复旦大学图书馆,上海200433

出　　处：《图书馆杂志》2020年第7期149-152,共4页Library Journal

摘　　要：通过ERU系统采集2018年复旦大学师生访问中文电子期刊数据库的行为数据,共有3131612条记录。与问卷调查、访谈等传统社会科学研究方法获得的数据相比,ERU系统采集的日志类型数据能够避免观察者效应、霍桑效应等问题,对信息行为特征、模式的研究有重要价值,能够为智慧图书馆的建设和研究提供数据资源。The dataset of Chinese electronic journals access behavior at Fudan University in 2018 was collected by ERU system with 3,131,612 records in total.In contrast with the data collected by traditional social science research methods such as questionnaires and interviews,data collected by ERU system can overcome the problems of observer effect and hawthorne effect.The dataset has rich value in studying features and modes of information behavior,and can be used in developing smart libraries and relevant research.

关 键 词：期刊数据库 中文电子期刊 用户访问行为 ERU 复旦大学 2018年 

分 类 号：G255.2[文化科学—图书馆学]