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A Study on Development of New Content Selection Indicators for Digital Curation Platform

디지털 큐레이션 플랫폼을 위한 신규 학술 콘텐츠 선정 지표 개발에 관한 연구

  • Seok-Hyoung Lee ;
  • Kangsandajung Lee ;
  • Jayhoon Kim ;
  • Hyejin Lee
  • 이석형 (충남대학교 문헌정보학과) ;
  • 이강산다정 (한국과학기술정보연구원 디지털큐레이션센터) ;
  • 김재훈 (한국과학기술정보연구원 디지털큐레이션센터) ;
  • 이혜진 (한국과학기술정보연구원 디지털큐레이션센터)
  • Received : 2024.08.04
  • Accepted : 2024.08.19
  • Published : 2024.08.31

Abstract

Academic information providers are working on developing and establishing new types of content in response to the diverse academic content needs of researchers. To efficiently build and manage a wide range of content, these institutions are establishing digital curation platforms. These platforms apply digital transformation technologies to automate the collection, construction, and management of academic content, supporting researchers' activities by providing necessary content. To operate these platforms efficiently, it is essential to establish criteria that can effectively address the diverse content needs of users. We developed indicators for selecting new content and applied these selection priorities on a trial basis to the digital curation platform. The indicators for new content selection include content value, user demand and satisfaction, and the ease and efficiency of content collection, construction, and management. These indicators can be utilized during the acquisition and selection stages of the digital resource lifecycle.

연구자의 다양한 학술 콘텐츠 수요에 대응하기 위해 학술정보 제공기관에서는 새로운 유형의 콘텐츠를 발굴하고 디지털 큐레이션 플랫폼을 통해 구축·관리하고 있다. 그러나, 제한된 예산 및 인력과 콘텐츠 관리 프로세스 복잡화 등의 이유로 이용자의 신규 콘텐츠 요구를 효율적으로 대응할 수 있는 기준이 필요하다. 본 연구에서는 디지털 전환 기술을 적용하여 학술 콘텐츠의 수집, 구축, 관리를 자동화하여 연구자의 연구활동에 필요한 다양한 콘텐츠를 지원하는 디지털 큐레이션 플랫폼을 위한 신규 콘텐츠 선정 지표를 개발하고 국내 대표 과학기술분야 학술정보 유통기관인 A기관의 디지털 큐레이션 플랫폼에 시범 적용하였다. 신규 콘텐츠 선정 지표는 콘텐츠의 가치, 이용자의 요구도 및 만족도, 콘텐츠 수집, 구축, 관리의 용이성과 효율성을 포함하고 있으며, 디지털 자원 라이프 사이클 단계 중 입수 및 선정 단계에서 활용 가능하다.

Keywords

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