2011～2015年国内情报学领域专利研究现状——基于9种情报学CSSCI期刊论文的分析

The Status of Patent Study in Domestic Information Science from 2011 to 2015: A Bibliometric Analysis of the Articles of Nine CSSCI Indexed Periodicals

[目的 /意义]探究近年来我国情报学领域专利研究的现状。[方法 /过程]选取9种情报学CSSCI期刊2011~2015年发表的论文作为统计分析的对象,利用文献计量学方法从期刊分布、论文数量年度分布、机构分布、基金分布、高频关键词、研究方法与工具、高被引论文、论文互引、高被引作者和机构等角度统计分析。[结果 /结论 ]基于统计数据,总结出国内情报学领域专利研究的现状:期刊分布悬殊明显;研究处在调整期;研究主体多元化;专利分析方法与分析工具丰富。研究热点主要集中在对新兴产业开展专利情报分析和比较、竞争态势分析、竞争对手分析、技术路线、技术演进以及技术预测研究,专利计量,专利合作与协同创新,核心专利识别与挖掘研究等几大领域。针对这一研究现状,对未来国内情报学领域专利研究提出几条建议:国内情报学期刊应当加大对专利情报研究的关注度;尝试更多创新研究设计;避免可视化工具的滥用;突破传统的专利资源,充分运用专利周边关联数据。

[Purpose/significance]The present article aims at exploring the status of patent research in domestic information science in recent years. [Method/process]It selects the patent articles published in the nine journals of information science indexed by “Chinese Social Sciences Citation Index” from 2011 to 2015 as research objects, and by using the method of bibliometrics, makes a statistic research from the perspectives of periodical distribution, annual publication distribution, distribution of institutions, distribution of funds, high-frequency keywords, research methods and tools, highly cited papers, mutual citation and highly cited authors and institutions. [Result/conclusion]Based on the statistical data, it summarizes the current situation of domestic patent study in information research： obvious disparity in periodical distribution, experiencing a period of adjustment, diversification ofsubjects and variety of patent analyzing methods and tools. Research hot spots mainly focus on the analysis and comparison of patent information on emerging industries, competition status analysis, competitor analysis, technology roadmap, technology evolution and prediction technology research, patentometrics, patent cooperation and collaborative innovation, core patent recognition and dug. In view of the present situation in this field, it is suggested that domestic information science journals should pay more attention to patent research, try to design more innovative research, avoid the abuse of visual tools, break the traditional patent resources and make full use of the patent-related data.