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Journal of Korean Library and Information Science Society

ISSN : 2466-2542

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Vol.54 No.4
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An Analysis of Domestic Research Trend on Research Data Using Keyword Network Analysis

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2023, v.54 no.4, pp.393-414
https://doi.org/10.16981/kliss.54.4.202312.393
Sangwoo Han (Gwangju University)
Han, S. (2023). An Analysis of Domestic Research Trend on Research Data Using Keyword Network Analysis. Journal of Korean Library and Information Science Society, 54(4), 393-414, https://doi.org/10.16981/kliss.54.4.202312.393
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Abstract

The goal of this study is to investigate domestic research trend on research data study. To achieve this goal, articles related research data topic were collected from RISS. After data cleansing, 134 author keywords were extracted from a total of 58 articles and keyword network analysis was performed. As a result, first, the number of studies related to research data in Korea is still only 58, so it was found that many related studies need to be conducted in the future. Second, most research fields related to research data were focused on library and information science among complex studies. Third, as a result of frequency analysis of author keywords related to research data, ‘research data management’, ‘research data sharing’, ‘data repository’, and ‘open science’ were analyzed as major frequent keywords, so research data-related research focuses on the above keywords. The keyword network analysis results also showed that high-frequency keywords occupy a central position in degree centrality and betweenness centrality and are located as core keywords in related studies. Through the results of this study, we were able to identify trends related to recent research data and identify areas that require intensive research in the future.

keywords
Research Data, Scientific Data, Research Trend, Keyword Network Analysis, Cohesion Analysis
Submission Date
2023-12-12
Revised Date
Accepted Date
2023-12-20

Journal of Korean Library and Information Science Society

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