政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/140288

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题名:	Bibliometric Analysis and Data Visualization of Archival Science Journal Literature (1971-2020)
作者:	林巧敏;黃鈺婷 Lin, Chiao-Min Huang, Yu-Ting
贡献者:	圖檔所
关键词:	Archival studies;Bibliometric analysis;Data visualization
日期:	2022-02
上传时间:	2022-06-15
摘要:	Literature publications in archival science have been critical to the recognition of archival science as an independent discipline. The public access to archives has been popularized with the rise of information freedom since 1970, and the research of international archival study has increased year by year. In recent years, data visualization of literature has become the trend of bibliometric analysis. However, there is still a lack of data visualization analysis about international archival science research results. Therefore, this study used a Scopus database for international journal papers retrieval and employed a bibliometric method to analyze the achievements of international journal articles. The publication quantity, research topics, authors, and journal characteristics were conducted and analyzed. The visualization tools were also taken to present literature keyword distribution and the relationship of subject concepts. The analysis of archival science research literature in international journals could show the whole picture of research trends and changes of archival science in the past 50 years (1971–2020).
關聯:	Springer’s Lecture Notes in Computer Science, The iSchools at Kyushu University, University College Dublin, University of Texas at Austin, pp.3-11
数据类型:	conference
DOI 連結:	https://doi.org/10.1007/978-3-030-96957-8_1
DOI:	10.1007/978-3-030-96957-8_1
显示于类别:	[圖書資訊與檔案學研究所] 會議論文

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