The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Data Scholarship: Data Journals and Data Repositories

데이터 스칼라십: 데이터 저널과 데이터 리포지토리를 중심으로

  • Hyoungjoo Park (Dept. of Library and Information Science, Chungnam National Univeristy)
  • 박형주 (충남대학교 문헌정보학과)
  • Received : 2023.10.16
  • Accepted : 2023.11.10
  • Published : 2024.01.31
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Abstract

The purpose of this study is to comprehend the knowledge structure of data scholarship within data journals and repositories. The study explored various aspects, including types of peer review, co-occurrence analysis through author keywords, and network analysis via article titles. The majority of data repositories in the DCI are maintained by countries in North America and the European Union. In Korea, data repositories are predominantly managed by research institutions. This study contributes to enhancing our understanding of the practices in data scholarship.

본 연구는 데이터 스칼라십을 이해하기 위하여 데이터 논문으로 색인되는 저널의 지적 구조를 분석 및 시각화하고 데이터 리포지토리의 운영을 비교하였다. 동료 평가(peer review) 유형을 살펴보고, 공동 출현 분석(co-occurence analysis) 및 네트워크 분석(network analysis)을 실시하였다. WoS에 데이터 논문으로 색인되는 상위 10위 저널은 전통적인 유형과 데이터 논문 유형을 혼재해서 발간하고 있었다. DCI에 색인되는 데이터 리포지토리는 대부분 북미 및 유럽 국가에서 운영하고 있다. 국내의 데이터 리포지토리는 대부분 연구원에서 운영하고 있다. 본 연구의 결과는 데이터 저널, 데이터 리포지토리 등 데이터 스칼라십의 관행을 이해하는 데 도움이 되기를 바란다.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임.(NRF-2022M3J6A1084843)

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