International Journal of Knowledge Content Development & Technology

Research Institute for Knowledge Content Development & Technology (건국대학교 지식콘텐츠연구소)
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A Study on the Development of a Classification System for Industry-Academia-Research Cooperation Information

  • Younghee Noh (Department of Library & Information Science, Konkuk University) ;
  • Ho-won Kim (Library and Information Science at Konkuk University) ;
  • Jeong-won Roh (Library and Information Science at Konkuk University)
  • Received : 2024.12.31
  • Accepted : 2025.01.06
  • Published : 2025.03.31
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Abstract

Purpose: This study aims to develop a systematic classification system for efficiently managing and utilizing information related to industry-academia-research cooperation, addressing the gaps in structured data management. Methodology: The study employs literature review, case studies, expert interviews (FGI), and integrated analysis. A hierarchical decimal coding system was designed to ensure logical organization and accessibility of data. Findings: The proposed classification system comprises six major categories-organization, infrastructure, workforce development, entrepreneurship and employment, research and development, and commercialization-enhancing data usability and policy support. Implication: This study provides a foundational framework for managing industry-academia-research cooperation information, contributing to ecosystem sustainability. Future work should focus on governance policies for data protection, quality control, and institutional accountability.

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References

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