바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Understanding Research Trends of Open Access via Topic Growth Analysis

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2022, v.39 no.4, pp.75-97
https://doi.org/10.3743/KOSIM.2022.39.4.075
Jaemin Chung (Korea Institute of Science and Technology Information)
Wan Jong Kim (Korea Institute of Science and Technology Information)
  • Downloaded
  • Viewed

Abstract

To solve the problems of the traditional scholarly communication system, global interest in the open access paradigm continues. Nevertheless, there is still a lack of research to understand global research and growth trends in the field of open access through data-based quantitative methods. This study aims to identify which sub-fields exist in open access and analyze how long each research field will grow in the future. To this end, topic modeling and growth curve analysis were applied to global academic papers in the field of open access. This study identified 14 research topics related to open access, open data, and open collaboration, which are three key elements of open science, and foresaw that the field of open access will grow over the next 65 years. The results of this study are expected to support researchers and policymakers in understanding global research trends of open access.

keywords
open access, open science, open data, open collaboration, topic modeling, growth curve analysis
Submission Date
2022-11-14
Revised Date
2022-12-05
Accepted Date
2022-12-09

Journal of the Korean Society for Information Management