• Title/Summary/Keyword: researcher collaboration

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Citation Impact of Collaboration from Intra- and Inter-disciplinary Perspectives: A Case Study of Korea

  • Lee, Jae Yun;Chung, EunKyung
    • Journal of Information Science Theory and Practice
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    • v.6 no.1
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    • pp.65-82
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    • 2018
  • Purpose - This research aims to examine collaboration from a disciplinary perspective in Korea. There are needs to explore to what extent researchers collaborate by discipline and across discipline along with the impact of collaboration. Design/methodology/approach - In order to investigate collaboration with respect to entire discipline areas and author-declared discipline information we analyzed a national researcher information database (Korean Researcher Information) with a citation index database (Korean Citation Index) covering the entire range of discipline. This study analyzed the data sets for 10 years (2004-2013) including a total of 8 categories and 119 sub-categories of disciplines, 109,551 researchers, 650,263 articles, and 1,170,039 citations in Korea. Findings - The results demonstrate that there are different intensities of collaboration from heavy to minimal across disciplines. In examining collaboration in terms of author and discipline levels, the results show that collaboration in author level rises, then inter-disciplinary collaboration increases accordingly, in most of the 119 discipline sub-categories. A number of disciplines, however, tended to collaborate more intensely within their own rather than with other disciplines. Moreover, the impact of collaboration tended to change over time depending on the types of collaboration. Specifically, inter-disciplinary collaboration was likely to have more immediate impact as pioneer research, especially among more than three disciplines, whereas the impact of intra-disciplinary collaboration is higher as time passes. Originality/value - In this research, a disciplinary investigation on collaboration is conducted for the entire range of disciplines in Korea. Through analyzing distinctive author-declared discipline information from the KRI, this research examines the intensities of collaboration across disciplines, collaboration in author level, and the impact of collaboration.

Changes in the Structure of Collaboration Network in Artificial Intelligence by National R&D Stage

  • Hyun, Mi Hwan;Lee, Hye Jin;Lim, Seok Jong;Lee, KangSan DaJeong
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.12-24
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    • 2022
  • This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

A Study on Categorizing Researcher Types Considering the Characteristics of Research Collaboration (공동연구 특성을 고려한 연구자 유형 구분에 대한 연구)

  • Jae Yun Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.59-80
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    • 2023
  • Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

Generation of Collaboration Network and Analysis of Researcher's Role in National Cancer Center (협업네트워크 구축과 연구자 역할 분석 -국립암센터 사례 중심으로-)

  • Jang, Hae-Lan
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.387-399
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    • 2015
  • Recently collaboration network is generated to find out experts in their field as potential collaborators in health care sector. In this paper, the co-author network of a National Cancer Center researcher was generated for identifying each researcher's role and collaborative research pattern. The co-author network of 2,437 authors was extracted from 1,194 SCI(E) publications from 2000 to 2010 and author's role was analyzed by author's centrality value. Centrality reflecting only the number of papers and centrality weighted by the paper number, impact factor, and authorship contribution was evaluated. On the comparison with simple degree centrality value and the weighted degree centrality, difference of value was statistically significant(t=11.66, p=0.00). Co-author network considering various variables of the paper provides more objective figure of researcher's role. This suggests that co-author network could be more effective in identifying potential collaborators.

Researcher Clustering Technique based on Weighted Researcher Network (가중치 정보를 가진 연구자 네트워크 기반의 연구자 클러스터링 기법)

  • Mun, Hyeon Jeong;Lee, Sang Min;Woo, Yong Tae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.2
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    • pp.1-11
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    • 2009
  • This study presents HCWS algorithm for researcher grouping on a weighted researcher network. The weights represent intensity of connections among researchers based on the number of co-authors and the number of co-authored research papers. To confirm the validity of the proposed technique, this study conducted an experimentation on about 80 research papers. As a consequence, it is proved that HCWS algorithm is able to bring about more realistic clustering compared with HCS algorithm which presents semantic relations among researchers in simple connections. In addition, it is found that HCWS algorithm can address the problems of existing HCS algorithm; researchers are disconnected since their connections are classified as weak even though they are strong, and vise versa. The technique described in this research paper can be applied to efficiently establish social networks of researchers considering relations such as collaboration histories among researchers or to create communities of researchers.

Current Status and Outlook of the Institute-Academia Collaboration in Aerospace field (항공우주 학연협력 현황과 전망)

  • Kim, Jong-Bum
    • Current Industrial and Technological Trends in Aerospace
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    • v.6 no.2
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    • pp.3-10
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    • 2008
  • Lee, Myung-bak Administration comprises the plan to foster the Universities as a world's research and development point, and to strengthen the Institute-Academia Collaboration for the knowledge based economy in the new plan of science and technology. In addition, by participating Universities into the medium-and long-term research business of government-supported institute, it is expected to strengthen the basic initiative research, revitalize the joint study conducted by the universities and government-supported institute, and to reshuffle the statutes to promote personnel exchanges between the universities and government-supported institute. Universities role as a principle of innovation in the field of Aerospace is getting its weight so that the necessity of the institute-academia collaboration is increasing. Types of the Institute-Academia Collaboration can be categorized into the Joint-Study, internships for the students in Masters and Ph. D. programs, Professor-Researcher Exchange, Joint Research Lab, and Joint Postgraduate Course, and those are the cases from the U.S., Brazil, Germany, France, Japan, and Korea. High mutual reliance on the research subject, mutual trust on the research capability, and abundant and flexible capabilities in sources are required to make a success in Institute-Academia Collaboration.

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The effect of Pre-training and Collaboration script types on Collaboration skills and Shared meatal model in CSCL (CSCL 환경에서 사전훈련과 협력 스크립트 유형이 협력능력과 공유정신모형에 미치는 영향)

  • Kim, Soo Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.4984-4993
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    • 2012
  • This study was initiated with the need of studies to promote learning and use of collaboration skills that learners should have in collaborative learning in CSCL. The researcher carried out research on 96 students taking the course of 'educational methods and educational technology' in K collage to take a look at the impact of prior training on collaboration in CSCL and interaction of types of collaborative scripts. To answer the first research question, the scores of each group's chatting in collaborative learning process and messages represented in the process of task performance based on collaborative skills were measured and analyzed. In addition, to answer the second research question, the scores of each group's shared mental model formulation based on relevant evaluation standards were analyzed. This study results, First, there was no significant difference in the acquisition of collaboration skills caused by interaction of prior training on collaboration and collaboration skills and collaborative scripts. However, it turned out that types of collaborative scripts give significant impacts on acquisition of collaboration skills. Second, there was also no significant difference between prior training on collaboration and the formulation of shared mental model by the interaction of collaborative scripts. However, it is showed that types of collaborative scripts have significant impacts on the formation of shared mental model.

Biotechnology Development Collaboration System and Limitations of Domestic Physician Scientists

  • Yu, Tae Gyu
    • International journal of advanced smart convergence
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    • v.11 no.4
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    • pp.247-252
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    • 2022
  • The purpose of the domestic physician scientist support program is to promote the development of various biotechnology. Therefore, it can be said that examining whether the purpose of support is being faithfully implemented has an important meaning for the future domestic biotechnology development ecosystem. Therefore, this study limited the subject of analysis to 79 MD-PhD experts who participated or participated in doctor scientist programs at major universities in Korea. Among them, a total of 25 researchers, one researcher from each classroom in parasitology, microbiology, pharmacology, biochemistry, physiology, and anatomy, which had the highest paper citations in the last five years (2016-2021), were selected to examine the relationship between joint research. It was selected as the subject of review. As a result, 25 selected pseudo-scientists(MD-PhD) identified domestic and foreign researchers who participated as co-researchers when publishing in overseas academic journals for the last 5 years(2016-2021), and identified the affiliation and name of the top 5 among them, as well as the pseudo-scientist(MD-PhD), it was possible to identify the relationship of a total of 123 co-researchers(excluding 2 missing values) of the top 5 co-researchers with a high degree of cooperation with respect to the researcher(25 in total), and the collaboration of pseudo-scientists. Relationships, major researchers, and research institutes were examined. Nodexl Basic 2018 ver. (Microsof) was used for the analysis, and the relationship between researchers could be visualized by applying network analysis techniques.

Researcher and Research Area Recommendation System for Promoting Convergence Research Using Text Mining and Messenger UI (텍스트 마이닝 방법론과 메신저UI를 활용한 융합연구 촉진을 위한 연구자 및 연구 분야 추천 시스템의 제안)

  • Yang, Nak-Yeong;Kim, Sung-Geun;Kang, Ju-Young
    • The Journal of Information Systems
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    • v.27 no.4
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    • pp.71-96
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    • 2018
  • Purpose Recently, social interest in the convergence research is at its peak. However, contrary to the keen interest in convergence research, an infrastructure that makes it easier to recruit researchers from other fields is not yet well established, which is why researchers are having considerable difficulty in carrying out real convergence research. In this study, we implemented a researcher recommendation system that helps researchers who want to collaborate easily recruit researchers from other fields, and we expect it to serve as a springboard for growth in the convergence research field. Design/methodology/approach In this study, we implemented a system that recommends proper researchers when users enter keyword in the field of research that they want to collaborate using word embedding techniques, word2vec. In addition, we also implemented function of keyword suggestions by using keywords drawn from LDA Topicmodeling Algorithm. Finally, the UI of the researcher recommendation system was completed by utilizing the collaborative messenger Slack to facilitate immediate exchange of information with the recommended researchers and to accommodate various applications for collaboration. Findings In this study, we validated the completed researcher recommendation system by ensuring that the list of researchers recommended by entering a specific keyword is accurate and that words learned as a similar word with a particular researcher match the researcher's field of research. The results showed 85.89% accuracy in the former, and in the latter case, mostly, the words drawn as similar words were found to match the researcher's field of research, leading to excellent performance of the researcher recommendation system.

A Spatial Analysis of Research Collaboration by Using Co-authorship Publications (공동저술 논문을 이용한 연구협력에 대한 공간적 분석)

  • Beck, Yeong Ki
    • Journal of the Korean Geographical Society
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    • v.50 no.6
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    • pp.641-657
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    • 2015
  • Nowadays research collaboration between the business, academic and governmental community is high on the policy agenda in all over the world, especially with regard to science-based technological innovation. The aim of this paper is to explore some of the changing spatial patterns of research collaboration by carrying out bibliometric analysis of co-authorship publications in major international and scientific journals that are jointly realized by Korean scientists and researchers in the seven science-based technologies for the period 2002~2012. Using the co-authored papers as an indicator of research collaboration with the institutional address of each co-authoring researcher and the geographic location of their affiliation, this paper describes some trends and patterns of domestic and international research collaborations. Identifying a rapid increase in the volume of co-authored papers and the trend towards multiple authorships over the last decade, the paper finds collaborative scientific research to be geographically dispersed at the different spatial scales. Despite the rising geographic dispersion of research collaboration within the nation, this paper finds that there were empirical evidences for the presence of localized knowledge production processes at regional level, and biased knowledge flows towards core areas with advanced research resources.

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