Journal of the Korean Society for Library and Information Science (한국문헌정보학회지)

Korean Society For Library And Information Science (한국문헌정보학회)
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A Study on the Establishment of the Comprehensive Academic Contents Linking System: Focusing on KISTI

학술 콘텐츠 종합링킹체제 구축에 관한 연구 - KISTI를 중심으로 -

  • 김주섭 (전북대학교 문헌정보학과) ;
  • 전예린 (전북대학교 문헌정보학과) ;
  • 김선태 (전북대학교 문헌정보학과)
  • Received : 2021.01.22
  • Accepted : 2021.02.15
  • Published : 2021.02.28
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Abstract

The purpose of this study is to propose a plan to implement the comprehensive linking system centered on identifiers in order to provide seamless academic information services to researchers. To achieve this goal, interviews were conducted with 17 researchers from five centers and one secretariat belonging to KISTI. The contents of the interview are about the establishment and management status of the identifier of the academic information service DB. As a result of the interview, it was found that the identification rate for identifiers such as KOI was high in the case of domestic articles DB, but the identification rate for global identifiers such as ORCID was low in the case of foreign articles DB except for DOI. To solve this problem, this study proposes the council for joint use of a comprehensive linking system to build the comprehensive linking system model centered on identifiers. The joint use council will be organized around domestic academic information distribution institutions, and the council is expected to discover and implement new services through ID linkage by collecting foreign identifiers.

이 연구의 목적은 연구자에게 끊김 없는 학술정보서비스를 제공하기 위하여 식별자를 중심으로 한 종합링킹체제를 구현할 수 있는 방안을 제시하는 것이다. 해당 목적을 달성하기 위하여 KISTI 소속의 5개 센터 및 1개 사무국 소속 17명의 연구자와 인터뷰를 진행하였다. 인터뷰 내용은 학술정보서비스 DB의 식별자 구축 및 관리 현황에 대한 것으로 면담 결과, 국내 논문 DB의 경우 KOI 등의 식별자에 대한 식별률은 높았지만 해외논문의 경우, DOI를 제외하고 ORCID 등 글로벌 식별자에 대한 식별률은 낮은 것으로 나타났다. 이러한 문제를 해결하기 위해 본 논문에서는 식별자를 중심으로 한 종합링킹체제 모델을 구축하기 위한 종합링킹체제 공동활용협의회를 제안하였다. 공동활용협의회는 국내 학술정보유통기관을 중심으로 구성될 것이며 구성된 협의회에서는 해외 식별자를 수집하여 식별자 연계를 통한 새로운 서비스가 발굴되고 구현될 것으로 기대한다.

Keywords

Acknowledgement

본 연구는 2020년도 한국과학기술정보연구원(KISTI) 주요사업 과제(국가과학기술콘텐츠 종합링킹체제 구축 연구; 연구과제번호 K-20-IP-11-01D-1)로 수행한 것임.

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