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바이오 헬스케어 분야 국가연구개발 특허성과 네트워크 분석

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

  • 권영은 (과학기술연합대학원대학교 과학기술경영정책) ;
  • 김재수 (과학기술연합대학원대학교 과학기술경영정책)
  • 투고 : 2018.10.27
  • 심사 : 2018.12.20
  • 발행 : 2018.12.28

초록

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.

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.

키워드

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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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