2015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 Resources Access Behavior at Fudan University in 2015

作　　者：殷沈琴[1] 张计龙[1] 汪东伟[1] 胡杰[1] Yin Shenqin;Zhang Jilong;Wang Dongwei;Hu Jie(Institute for Humanities and Social Science Data,Fudan Universit)

机构地区：[1]复旦大学人文社科数据研究所

出　　处：《图书馆杂志》2018年第8期84-87,共4页Library Journal

摘　　要：通过ERU系统采集2015年全年复旦大学师生访问中文电子期刊数据库的行为数据,经过完整性、准确性和代表性3个维度的遴选,筛选出两个中文期刊数据库平台的访问行为数据,并对个人隐私信息进行加密不可恢复性脱敏处理,结果共有记录10 119 795条。本数据集可以用于电子资源采购需求分析和效益分析、过量下载监控,也可以用于替代计量分析、学科热点分析和学科交叉趋势分析,具有实用价值和科研价值。The paper uses the ERU system to collect the behavioral data of the Fudan University faculty and students＇ access to the electronic journal database in 2015.Through the selection of three dimensions of integrity, accuracy and representativeness, the access behavior data of two Chinese periodicals database platform are selected and the privacy information is desensitized, and a total of 10.1million is recorded. The dataset can be used for electronic resources purchasing demand and benefit analysis, overloading monitoring, and can also be used in alternative econometric analysis, hot research spots analysis of subjects and interdisciplinary trend analysis. It has practical value and scientific research value.

关 键 词：期刊数据库 用户访问行为 ERU 复旦大学 2015年 数据脱敏 

分 类 号：G255.2[文化科学—图书馆学]