摘要
【目的】分析科技期刊和科研活动相关数据,为期刊科学决策提供参考。【方法】借助百度学术、中国知网统计分析数据库等数据平台,结合期刊运行过程中产生和收集的数据,运用数据挖掘和分析方法,寻找影响期刊决策的关键指标。【结果】《计算机研究与发展》编辑部对相关学者和稿件信息进行分析和挖掘,为期刊在学者选择、专题策划、稿件筛选时提供精准的数据依据,以逐年提升期刊学术影响力。【结论】合理的数据统计和分析能为期刊决策提供客观依据,有利于期刊发现问题并寻找解决方案。
[Purposes]This study aims to analyze the data of journal operation and scientific research activities to provide references for journal decision-making. [Methods] With the help of Baidu big data platform,CNKI database,and the journal own database,the data mining and analysis methods were used to find the key indicators affecting the decision-making of journals. [Findings]Based on data analysis during the selection of scholars,thematic planning,and the selection of manuscripts,the academic influence of Journal of Computer Research and Development has been improved in recent years. [Conclusions] Reasonable data statistics and analysis can provide objective basis for journal decision-making and finding the effective solutions.
作者
侯丽珊
HOU Lishan(Editorial Office of Journal of Computer Research and Development, Institute of Computing Technology, Chinese Academy of Sciences, 6 South Kexueyuan Road, Zhongguancun, Haidian District, Beijing 100190, China)
出处
《中国科技期刊研究》
CSSCI
北大核心
2018年第5期515-519,共5页
Chinese Journal of Scientific and Technical Periodicals
关键词
科技期刊
数据挖掘
数据分析
精准办刊
《计算机研究与发展》
Scientific journal
Data mining
Data analysis
Precise journal operation
Journal of Computer Research andDevelopment
作者简介
候丽珊(ORCID:0000-0002-1534-4637),博士.副编审,E-mail:houlishan@ict.ac.cn,