토픽 성장 분석을 통한 오픈액세스 분야 연구 동향 분석
Understanding Research Trends of Open Access via Topic Growth Analysis
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
전통적인 학술 커뮤니케이션 체제의 문제점을 해결하기 위한 대안으로 오픈액세스 패러다임에 대한 국제적 관심과 확산이 지속되고 있다. 하지만 데이터 기반의 정량적인 방법을 통해 오픈액세스 분야의 글로벌한 동향이나 성장 추세를 파악하려는 노력은 아직까지 부족한 실정이다. 본 연구는 오픈액세스 분야의 학술논문 데이터에 토픽 모델링을 적용하여 세부 연구토픽을 식별하고, 성장곡선을 적합하여 각 연구토픽의 성숙도와 예상 잔여수명을 계산한다. 본 연구는 오픈 사이언스의 세 가지 핵심요소인 오픈액세스, 오픈데이터, 오픈협업과 관련된 14개 토픽들을 식별하였으며, 오픈액세스 분야가 앞으로 약 65년간 꾸준히 성장할 것으로 예상하였다. 본 연구의 분석 결과는 연구자들과 정책 의사결정자들이 오픈액세스 분야의 동향과 성장 추세를 이해하는 데 도움을 줄 수 있을 것으로 기대된다.
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.
참고문헌 (42)
- 김선겸, "동시출현단어 분석을 활용한 오픈액세스 분야의 지적구조 분석: 2013년부터 2018년까지 출판된 문헌정보학 저널을 기반으로", 한국도서관·정보학회지, 50(1), pp.333~356 (2019), 한국도서관·정보학회[DOI]
- 김정욱, "네트워크분석과 기술성장모형을 이용한 기술기획 : 증강현실 기술의 특허를 활용하여", 대한산업공학회지, 42(5), pp.337~351 (2016), 대한산업공학회[DOI]
- 김판준, "동시출현단어 분석에 기초한 지적구조 분석에서 키워드 유형별 특성에 관한 연구 - 국외 오픈액세스 분야를 중심으로 -", 한국문헌정보학회지, 55(3), pp.103~129 (2021), 한국문헌정보학회[DOI]
- 서선경, "동시출현단어 분석 기반 오픈 액세스 분야 지적구조에 관한 연구", 한국비블리아학회지, 24(1), pp.207~228 (2013), 한국비블리아학회
- 송성전, "리뷰 정보를 활용한 이용자의 선호요인 식별에 관한 연구", 정보관리학회지, 39(3), pp.311~336 (2022), 한국정보관리학회[DOI]
- 신주은, "국내 오픈액세스 분야의 지적구조 분석에 관한 연구", 한국문헌정보학회지, 55(2), pp.147~178 (2021), 한국문헌정보학회[DOI]
- 윤희윤, "국내외 문헌정보학 학술지의 오픈 액세스 동향 분석", 한국도서관·정보학회지, 38(1), pp.257~276 (2007), 한국도서관·정보학회[DOI]
- 최재황, "오픈 액세스 운동의 동향과 학술적 이해관계자의 대응전략", 정보관리학회지, 22(3), pp.307~326 (2005), 한국정보관리학회[DOI]
- "글로벌 연대와 상생의 길 오픈사이언스" (2020), 최희윤[URL]
- Amol C. Adamuthe, "Technology forecasting: A case study of computational technologies", Technological Forecasting and Social Change, 143, pp.181~189 (2019), Elsevier BV[DOI]
- Beall, J., "Predatory publishers are corrupting open access", Nature, 489(7415), pp.179~179 (2012)[DOI]
- Berger, R. D., "Comparison of the gompertz and logistic equations to describe plant disease progress", Phytopathology, 71(7), pp.716~719 (1981)[DOI]
- "Cross-lingual contextualized topic models with zero-shot learning" (2020)[URL]
- Blei, D. M., "Latent dirichlet allocation", Journal of Machine Learning Research, 3, pp.993~1022 (2003)
- Braun, T., "Growth and trends of fullerene research as reflected in its journal literature", Chemical Reviews, 100(1), pp.23~38 (2000)[DOI]
- Chen, B., "Understanding the topic evolution in a scientific domain : an exploratory study for the field of information retrieval", Journal of Informetrics, 11(4), pp.1175~1189 (2017)[DOI]
- Cho, J., "Intellectual structure evolution of open access research observed through correlation index of keyword centrality", Scientometrics, 125(3), pp.2617~2635 (2020)[DOI]
- Yonghee Cho, "OLED TV technology forecasting using technology mining and the Fisher-Pry diffusion model", Foresight, 18(2), pp.117~137 (2016), Emerald[DOI]
- Chung, J., "Inventor profile mining approach for prospective human resource scouting", Journal of Informetrics, 15(1), pp.101103~ (2021)[DOI]
- Costa, M. P. D., "Open access in the world and Latin America : a review since the Budapest Open Access Initiative", TransInformação, 28, pp.33~46 (2016)[DOI]
- Craig, I. D., "Do open access articles have greater citation impact? : a critical review of the literature", Journal of Informetrics, 1(3), pp.239~248 (2007)[DOI]
- Deerwester, S., "Indexing by latent semantic analysis", Journal of the American Society for Information Science, 41(6), pp.391~407 (1990)[DOI]
- Dieng, A. B., "Topic modeling in embedding spaces", Transactions of the Association for Computational Linguistics, 8, pp.439~453 (2020)[DOI]
- Du, H., "Research development on sustainable urban infrastructure from 1991 to 2017 : a bibliometric analysis to inform future innovations", Earth's Future, 7(7), pp.718~733 (2019)[DOI]
- Elvers, D., "Technology trends in biodegradable polymers : evidence from patent analysis", Polymer Reviews, 56(4), pp.584~606 (2016)[DOI]
- Stefan Eriksson, "The false academy: predatory publishing in science and bioethics", Medicine, Health Care and Philosophy, 20(2), pp.163~170 (2016), Springer Science and Business Media LLC[DOI]
- "Horizon Europe, open science: early knowledge and data sharing, and open collaboration" (2021)[URL]
- Franses, P. H., "A method to select between Gompertz and logistic trend curves", Technological Forecasting and Social Change, 46(1), pp.45~49 (1994)[DOI]
- Hofmann, T., "Probabilistic latent semantic indexing", Proceedings of the 22nd annual international Annual Conference of the Association for computing Machinery Special Interest Group in Information Retrieval Conference on Research and Development in Information Retrieval, pp.50~57 (1999)
- Jeong, B., "Social media mining for product planning : a product opportunity mining approach based on topic modeling and sentiment analysis", International Journal of Information Management, 48, pp.280~290 (2019)[DOI]
- Hyun Ji, "Topic Analysis of Scholarly Communication Research", Journal of Information Science Theory and Practice, 9(2), pp.47~65 (2021), 한국과학기술정보연구원[DOI]
- Ko, N., "Identifying product opportunities using social media mining : application of topic modeling and chance discovery theory", Institute of Electrical and Ectronics Engineers Access, 6, pp.1680~1693 (2017)[DOI]
- Ma, T., "Topic based research competitiveness evaluation", Scientometrics, 117(2), pp.789~803 (2018)[DOI]
- Ovadia, S., "ResearchGate and Academia.edu: academic social networks", Behavioral & Social Sciences Librarian, 33(3), pp.165~169 (2014)[DOI]
- Palmer, K. L., "Where there's a will, there's a way? : survey of academic librarian attitudes about open access", College & Research Libraries, 70(4), pp.315~335 (2008)[DOI]
- Ross-Hellauer, T., "What is open peer review? a systematic review", F1000Research, 6, pp.588~ (2017)[DOI]
- Sidorova, A., "Uncovering the intellectual core of the information systems discipline", Management Information Systems Quarterly, 32(3), pp.467~482 (2008)[DOI]
- Van Santen, J. A., "The natural products atlas : an open access knowledge base for microbial natural products discovery", American Chemical Society Central Science, 5(11), pp.1824~1833 (2019)[DOI]
- Yoon, J., "Tracing the evolving trends in electronic skin(e-skin)technology using growth curve and technology position-based patent bibliometrics", Institute of Electrical and Ectronics Engineers Access, 6, pp.26530~26542 (2018)[DOI]
- Yoon, J., "Tracing evolving trends in printed electronics using patent information", Journal of Nanoparticle Research, 16(7), pp.1~15 (2014)[DOI]
- Young, P., "Technological growth curves : a competition of forecasting models", Technological Forecasting and Social Change, 44(4), pp.375~389 (1993)[DOI]
- Zwietering, M. H., "Modeling of the bacterial growth curve", Applied and Environmental Microbiology, 56(6), pp.1875~1881 (1990)[DOI]
