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A Study on the Management of Name Identifier System for ISNI-based Data Integration

ISNI 기반 데이터 융합을 위한 저자식별체계 운용에 관한 연구

  • 이승민 (중앙대학교 문헌정보학과) ;
  • 곽승진 (충남대학교 문헌정보학과) ;
  • 오상희 (충남대학교 문헌정보학과) ;
  • 박진호 (주식회사 리스트 사업개발본부)
  • Received : 2019.02.18
  • Accepted : 2019.03.04
  • Published : 2019.03.30

Abstract

Most fields of society have constructed and utilized various name identifier systems such and International Standard Name Identifier(ISNI), Open Researcher and Contributor ID(ORCID), and Interested Parties Information System(IPI) in order to uniquely identify individual authors and institutions and to associate them to data related to creative works. Although it might be inevitable to apply name identifier systems in the current data environment with rapid association and integration of data across fields, there are many problems to be addressed when utilizing those systems. In order to overcome these problems and construct better information ecological system by associating and linking data from various fields, this research analyzed advanced cases for data integration based on ISNI. Through the analysis, it suggested managemental refinements for efficiently utilizing ISNI in data integration and association.

현재 사회 각 분야에서는 개별 저작자 및 기관을 고유하게 식별하고 이를 다양한 저작물 관련 데이터와 연계하기 위해서 International Standard Name Identifier(ISNI), Open Researcher and Contributor ID(ORCID), Interested Parties Information System(IPI) 등과 같은 여러 가지 저자식별체계들을 구축, 적용해 왔다. 분야별 데이터 연계와 융합이 점차적으로 가속화되고 있는 현재의 데이터 환경에서 저자식별체계의 적용은 필연적인 것이라 볼 수 있지만, 저자식별체계를 활용하는데 있어서의 한계들도 여러 가지 측면에서 대두되고 있다. 이러한 한계를 극복하고, 저자식별체계를 중심으로 다양한 분야의 데이터를 융합하여 보다 나은 정보생태계를 구축하기 위해, 본 연구에서는 ISNI 중심의 데이터 융합 선진사례를 분석하고, 이를 기반으로 데이터 융합에서 ISNI 저자식별 체계를 효율적으로 운용하기 위한 개선사항을 제안하였다.

Keywords

BBROBV_2019_v30n1_29_f0001.png 이미지

<그림 1> ISNI 구문 체계

BBROBV_2019_v30n1_29_f0002.png 이미지

<그림 2> ORCID의 구문 구조

BBROBV_2019_v30n1_29_f0003.png 이미지

<그림 3> VIAF의 전거레코드의 예

BBROBV_2019_v30n1_29_f0004.png 이미지

<그림 4> BnF 전거레코드와 ISNI 식별체계의 연계

BBROBV_2019_v30n1_29_f0005.png 이미지

<그림 5> MusicBrainz 레코드의 예

BBROBV_2019_v30n1_29_f0006.png 이미지

<그림 6> Wikidata에서의 저자식별체계 적용

BBROBV_2019_v30n1_29_f0007.png 이미지

<그림 7> ISNI를 이용한 개인과 기관, 기관과 기관 사이의 식별

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