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Analysis of National R&D Patent Performance Network in Bio-Healthcare Sector

바이오 헬스케어 분야 국가연구개발 특허성과 네트워크 분석

  • 권영은 (과학기술연합대학원대학교 과학기술경영정책) ;
  • 김재수 (과학기술연합대학원대학교 과학기술경영정책)
  • Received : 2018.10.27
  • Accepted : 2018.12.20
  • Published : 2018.12.28

Abstract

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.

본 논문은 바이오 헬스 분야의 기술융합구조와 핵심기술 연구 분야를 파악하기 위해 국가R&D 수행으로 창출된 특허성과를 기반으로 네트워크 분석을 실시한 논문으로서, 이를 위한 기반 연구인 특허네트워크 분석을 실시하여 이에 대한 문제점을 도출하고 NTIS로부터 데이터를 수집하여 연구프레임 네트워크를 기반으로 바이오 헬스케어 분야 국가R&D 특허 현황 분석과 IPC 네트워크 분석을 통해 도출된 5개의 그룹을 바이오 헬스케어 분야 기술체계 기준으로 주제를 선정하였다. 분류된 것을 대상으로 기술 파급효과가 가장 높은 기술을 도출하여 다른 분야의 비교를 통해 국가R&D 분야의 연구비 투자에 대한 방향을 제시하였다. 향후 해외특허자료 분석을 추가적으로 실시하고, 기술융합과 정부투자 연구비의 상관분석을 보완하여 연구비투자 방향성 모색에 기여할 것으로 판단된다.

Keywords

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Fig. 1. Research Framwork

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Fig. 2. Number of Convergence technology patents

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Fig. 3. IPC-based Patent Network in Bio-Healthcare

Table 1. Definition of Technology convergence

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Table 2. Number of patent applications

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Table 3. Technical topics-Top10 IPC by Network Cluster

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Table 4. Government R&D investments

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Table 5. Centrality of IPC(Top 20)

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References

  1. J. Y. Choi. & Y. A. Joe. & S. K. Jeong. (2013). Technology convergence measurement and diffusion trend analysis using patent data. Seoul : KIET.
  2. S. U. Bae. & D. G. Kwag. & E. Y. Park. (2015) The Study of the Aviation Industrial Technology Convergence through Patent analysis. Journal of the Korea Convergence Society, 6(5), 219-225. DOI: 10.15207/JKCS.2015.6.5.219
  3. Analyzing and responding to the main sectors of industry that lead the fourth industrial revolution era, (2015). Seongnam City : Infofo
  4. Bio-health industry trend and technology strategy, (2017). Seoul : KIAT.
  5. M. H. Lee. (2016). Bio-Health Innovation System and the Role of Government. Seoul : STEPI.
  6. Frascati Manua, (2016). Seoul : OECD&KISTEP
  7. J. C. Choi. (2018). Big Data Patent Analysis Using Social Network Analysis. Journal of the Korea Convergence Society, 9(2), 251-257 https://doi.org/10.15207/JKCS.2018.9.2.251
  8. J. H. Yun. & Y. J. Geum. (2016). Analyzing dynamic patterns of technology convergence using patent co-classification analysis : a case of healthcare service. Industrial Engineering &Management Systems, 2016(11), 383-391.
  9. J. H. Kim. & M. S. Lee. & H. C. Kim. (2017). Healthcare in the Internet of Things Major Applications Trends : Focusing on Patient Analysis. Korea Technology Innovation Society Conference, 2017(11), 1507-1521.
  10. I. D. Cho. & N. G. Kim. (2011). Recommending Core and Connecting Keywords of Research Area Using Social Network and Data Mining Techniques. Journal of Intelligence and Information Systems, 17(1), 127-138. https://doi.org/10.13088/JIIS.2011.17.1.127
  11. J. E. .Heo. & C. H. Yang. (2013). Applying Network Analysis in Convergent Research Relationships: The Case of High-Tech Convergence Technology Development Program. Journal of Korea Technology Innovation Society, 16(4), 883-912.
  12. Y. J. Han. (2017). Patenting Trend of Internet of Things(IoT) in China. Journal of the Korea Convergence Society, 8(8), 1-8. https://doi.org/10.15207/JKCS.2017.8.8.001
  13. K. Y. Shin. & J. H. Lee. (2013). An Employment Verification Method Using Social Network Analysis. Journal of KISS : Databases, 40(6), 370-376.
  14. Diagnose bio-health industry issues to realize bio economy, (2017). Seoul : KISTEP.
  15. K. Y. Kwahk.(2017). Social network analysis. Seoul : ChungRam
  16. National Science & Technology Information Service, http://www.ntis.go.kr
  17. Korea Intellectual Property Rights Information Service, http://www.kipris.or.kr