基于我国开放研究数据的论文国际影响力研究——以北京大学开放研究数据平台的中国健康与养老追踪调查数据为例  

International influence of papers based on Chinese open research data:China health and retirement longitudinal study data from Peking University Open Research Data as an example

作　　者：张宝辉[1] 张益嘉 郭海强[1] 邓妍[1] ZHANG Baohui;ZHANG Yijia;GUO Haiqiang;DENG Yan(Journal Center,China Medical University,92 Beier Road,Heping District,Shenyang 110001,China;Editorial Department of Journal of Bohai University,19 Keji Road,Songshan New District,Jinzhou 121013,China)

机构地区：[1]中国医科大学期刊中心,辽宁省沈阳市110001 [2]渤海大学学报编辑部,辽宁省锦州市121013

出　　处：《中国科技期刊研究》2024年第11期1571-1579,共9页Chinese Journal of Scientific and Technical Periodicals

基　　金：辽宁省社会科学规划基金“基于CiteSpace可视化视角下学术期刊出版中的科研诚信问题研究”(L22BXW006);小编·仁和基金“中文单学科医学期刊高质量发展路径探索研究”(XBRH2024-001-015);高等教育出版社-辽宁省期刊协会科技期刊高质量发展研究与实践课题项目“我国开放研究数据论文的国际影响力研究”(LJA2024-GJ-012)。

摘　　要：【目的】以北京大学开放研究数据平台的中国健康与养老追踪调查为开放数据来源,分析我国开放研究数据论文的国际影响力,为我国学术期刊在开放科学环境下的选题策划提供思路。【方法】以WebofScience核心合集中利用中国健康与养老追踪调查开放数据库发表的开放研究数据论文为研究对象,对论文数量、学科结构、机构间合作、基金项目、相对影响因子、被引频次和使用情况进行统计。【结果】我国开放研究数据论文的学科分布较广,且呈现多学科交叉融合、跨学科成果共享的多元化发展趋势。国内与国内及国内与国际机构合作频繁,且主要是高校间的合作。来源期刊的平均相对影响因子为1.42、平均篇均被引频次为14.70次。我国开放研究数据论文的整体国际影响力较高,一定数量的论文发表于顶级国际期刊中。【结论】开放研究数据可以促进不同学科间及国际的数据共享和合作,推动科研成果的国际化传播和应用。[Purposes]Taking the China health and retirement longitudinal study(CHARLS)on Peking University Open Research Data as the open data source,this study analyzes the international influence of papers based on Chinese open research data,providing ideas for topic selection planning of Chinese academic journals in the open science environment.[Methods]Taking the open research data papers published using the CHARLS open database in the Web of Science Core Collection as the research object,we conducted statistics on the number of papers,disciplinary structure,inter-institutional cooperation,funding projects,relative impact factors of journal sources,citation frequencies,and usage.[Findings]The disciplinary distribution of Chinese open research data papers is wide,showing a diversified development trend of interdisciplinary integration and cross-disciplinary achievement sharing.There are frequent collaborations between domestic institutions and between domestic and international institutions,mainly among universities.The average relative impact factor of the source journals is 1.42,and the average citations per paper is 14.70.In general,Chinese open research data papers have high international influence,and a certain number of papers are published in top international journals.[Conclusions]Open research data can promote data sharing and collaboration between different disciplines and internationally,driving the international dissemination and application of scientific research achievements.

关 键 词：开放科学 开放研究数据 文献计量学 国际影响力 

分 类 号：G64[文化科学—高等教育学]