文章摘要
孔晔晗,彭琳,袁军鹏,于艺浩.科技期刊预警监测系统构建.编辑学报,2022,(4):369-377
科技期刊预警监测系统构建
Construction of an early warning system for sci-tech journals
  
DOI:10.16811/j.cnki.1001-4314.2022.04.004
中文关键词: 科技期刊  预警名单  掠夺性期刊  期刊黑名单  学术不端
英文关键词: sci-tech journals  early warning list  predatory journals  journal blacklist  academic misconduct
基金项目:*中央级公益性科研院所基本科研业务费专项(JBYW-AII-2021-19) 
作者单位
孔晔晗 中国农业科学院农业信息研究所,100081
国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室,100081 
彭琳 中国科学院文献情报中心,100190 
袁军鹏 中国科学院文献情报中心,100190
中国科学院大学经济与管理学院图书情报与档案管理系,100190 
于艺浩 中国人民大学信息资源管理学院,100872:北京 
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中文摘要:
      通过构建科技期刊预警监测系统,为我国建立学术期刊预警机制的研究提供参考。以目前检索到的18份预警期刊名单为样本,采用文献调研法和定量分析方法归纳预警期刊特征,并提炼出科技期刊预警监测指标。科技期刊预警监测指标体系包含自动采集、监测分析和异常预警3个模块,其流程包括采集期刊关键特征数据,从学术出版合法性、商业欺诈行为、学术不端行为等6个维度进行对比分析,其中包含中国作者占比、引用失真、异常撤稿、发文增长速度等18个二级指标,并对识别到的“预警期刊”进行等级划分,以期为我国科研人员规避学术风险、开展学术评价工作起到一定支撑作用。
英文摘要:
      Through reviewing various methods of compiling early warning list of sci-tech journals, we aimed to provide references for building early warning mechanism of academic journals in our country. Taking the 18 journals’ warning lists as the samples, and by using literature review and quantitative analysis, we summarized the characteristics and indicators of early warning journals. Based on these results, an early warning system was established, including three modules, ie. academic collection, monitor and analysis, and warning of abnormal signs. Data about the key characteristics of journals were collected and compared, and evaluated from six aspects including legitimacy of academic publishing, commercial fraud, and academic misconduct. Totally, 18 second-tier indicators were included in this system, including the proportion of Chinese authors, citation distortion, abnormal retraction and the growth rate of scientific publication. The journals on the early earning list were classified into different warning levels. This system might help Chinese researchers avoid academic risks and provide support for academic evaluation.
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