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한국비블리아학회지

Analyzing Trends in Research Data Using Keyword Network Analysis: Focusig on SCOPUS DB

한국비블리아학회지 / 한국비블리아학회지, (P)1229-2435; (E)2799-4767
2024, v.35 no.2, pp.85-108
https://doi.org/10.14699/kbiblia.2024.35.2.085
HYO JIN GEUM
Sun Tae Kim
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Abstract

This study aimed to analyze the research trends of research data academic papers from 2010 to 2024 to understand the research status of research data over the past 15 years. To achieve this goal, keyword frequency analysis and network centrality analysis were conducted on 14,921 academic articles published in Scopus DB. The keyword network analysis using UCINET, which was divided into the first period (2010-2014), second period (2015-2019), and third period (2020-2024) according to the period of publication of academic journals, revealed the main keywords studied regardless of the period, the keywords that attracted attention by period, and the keywords that decreased in attention over time. It was found that the most active topic of research data-related research in the last 15 years is data sharing, and most of the keywords with high Degree Centrality also have high Betweenness Centrality. The results of this study can be utilized as a basis for suggesting future research directions in the field of research data in Korea.

keywords
Research Data, Research Trend, Keyword Network Analysis, UCINET, Centrality

한국비블리아학회지