패션비즈니스 (Journal of Fashion Business)

  • 제28권5호
  • /
  • Pages.17-35
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  • 2024
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  • 1229-3350(pISSN)
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  • 2288-1867(eISSN)
한국패션비즈니스학회 (The Korean Society of Fashion Business)
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웹 4.0시대의 패션데이터 활용을 위한 연구: 오픈패션 개념과 오픈패션 라이선스 제안

A Study on the Utilization of Fashion Data in the Web 4.0 Era: Proposal of the Open Fashion Concept and Open Fashion License

  • Ha Youn Kim (Kunsan National University, School of Clothing and Textiles) ;
  • Minkyun Kim (CA Planet Co., Ltd.) ;
  • Yeojin Lee (Seoul National University, Department of Fashion and Textiles) ;
  • Woojin Choi (The Hong Kong Polytechnic University, School of Fashion and Textiles)
  • 투고 : 2024.09.04
  • 심사 : 2024.11.13
  • 발행 : 2024.11.30
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초록

Traditionally, design knock-off has been negatively perceived as it can undermine the unique value of a brand by unauthorizedly appropriating a designer's creative efforts without compensation. On the contrary, the piracy paradox refers to the idea that knock-off in design can actually promote innovation within the fashion industry and benefit creators. This study proposes a new concept called "Open Fashion" by applying an open-source license framework from the software industry to fashion data. Open Fashion aims to promote sharing and utilization of fashion data, offering institutional mechanisms to address the issue of design knock-off from ethical and economic perspectives. Based on concepts of "open-source licenses" widely used in the software industry and "creative commons (CC)" licenses in the content field, this study developed an "Open Fashion License (OFL)" tailored to fashion data. This study examined open-source licenses basedon the latest "Open Source Software License Guide" provided by NIPA and "creative commons (CC)" licenses in the content field. It applies them to fashion data. The Open Fashion License is finalized basedon review and consensus of five experts. Consequently, this study proposed three types of OFL, depending on whether the original creator's work was modified and the obligation to redistribute modified data: 1) Permissive, 2) Copyleft, and 3) Source-Available. This study seeks to promote ongoing innovation and growth in the fashion industry by creating ethical and transparent systems that could formalize the cyclical nature of fashion, as described in the piracy paradox theory.

키워드

과제정보

본 연구는 (재)한국의류지능화연구소의 지원으로 작성됨

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