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政大典藏 > College of Liberal Arts > Graduate Institute of Library, Information and Archival Studies > Proceedings > Item 140.119/140288

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/140288

Title:	Bibliometric Analysis and Data Visualization of Archival Science Journal Literature (1971-2020)
Authors:	林巧敏;黃鈺婷 Lin, Chiao-Min Huang, Yu-Ting
Contributors:	圖檔所
Keywords:	Archival studies;Bibliometric analysis;Data visualization
Date:	2022-02
Issue Date:	2022-06-15
Abstract:	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).
Relation:	Springer’s Lecture Notes in Computer Science, The iSchools at Kyushu University, University College Dublin, University of Texas at Austin, pp.3-11
Data Type:	conference
DOI link:	https://doi.org/10.1007/978-3-030-96957-8_1
DOI:	10.1007/978-3-030-96957-8_1
Appears in Collections:	[Graduate Institute of Library, Information and Archival Studies] Proceedings

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