Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Feature Analyze and Research of National Convergence R&D: With Focus on the Text Mining

국가 융합 R&D 특성 분석에 관한 연구: 텍스트분석을 중심으로

  • Yoo, KiCheol (Chungbuk National University, Department of Management Information System) ;
  • Lee, TaeHee (Undergraduate Course, Chungbuk National University, Department of Management Information System) ;
  • Choi, SangHyun (Chungbuk National University, Department of Management Information System) ;
  • Lee, JungHwan (Chungbuk National University, Department of Management Information System)
  • Received : 2019.12.15
  • Accepted : 2020.02.15
  • Published : 2020.02.29
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Abstract

There is a growing interest in convergence. National R & D is also providing various policies and institutional support to promote convergence research. Convergence research, however, does not clearly specify its characteristics at the academic and government levels. This research proceeds with the process of collecting, refining, analyzing, modeling, verifying and visualizing national R & D data through the National Science and Technology Information Service (NTIS). The method is to derive the convergence research characteristics and to derive through text mining, focusing on the unstructured information of national R & D project data. The study confirmed that there was a difference in perception between the definition of converged research and the research site. In order to improve this, the research suggested that convergence among research subjects, collaboration among research topics reflecting various backgrounds and characteristics of researchers, and analysis of characteristics of convergence research using information were suggested in the process of establishing convergence policy.

Keywords

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