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[문헌정보학] 연구동향

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글로벌 학술연구 동향: 문헌정보학 (Library and Information Science)

2014-01-01 ~ 2023-12-31 · 생성일 2024-05-21T10:00:00Z
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주요 동향 요약

  • 지난 10년간 문헌정보학 분야 논문 수는 꾸준히 증가하여, 2014년 8,540편에서 2023년 12,850편으로 성장하였습니다.
  • 주요 연구 키워드에는 ‘Bibliometrics’, ‘Information Retrieval’, ‘Digital Libraries’, ‘Open Access’, ‘Data Science’ 등이 있으며, 최근에는 ‘Research Data Management’(+120%)와 ‘Data Science’(+45%)가 크게 성장하였습니다.
  • 상위 연구 기관은 Leiden University(네덜란드), Indiana University(미국), University of Sheffield(영국) 등이, 상위 국가는 미국(27.5%), 중국(14.7%), 영국(11.7%)이 차지합니다.
  • 연구 클러스터는 학술 커뮤니케이션·계량, 데이터 큐레이션·인프라, 정보 리터러시, 계산 정보학, 기록유산, 정보윤리 등으로 분포되어 있습니다.
  • ‘FAIR Principles’, ‘AI in Libraries’, ‘Misinformation/Disinformation’, ‘Data Literacy’ 등 신흥 연구주제가 최근 급성장하며 새롭게 부상하고 있습니다.

핵심 지표

연도별 논문 수 (2014~2023)
연도 총 논문 수 리뷰 논문 컨퍼런스 논문
2014 8,540 430 2,100
2015 8,750 450 2,150
2016 9,100 480 2,200
2017 9,450 510 2,300
2018 9,980 550 2,450
2019 10,560 620 2,550
2020 11,230 710 2,600
2021 11,950 780 2,750
2022 12,400 830 2,850
2023 12,850 890 2,950
상위 연구 키워드 Top 10
키워드 논문 수 최근 성장률
Bibliometrics 7,520 +15.0%
Information Retrieval 6,980 +8.0%
Digital Libraries 6,550 +12.0%
Information Literacy 6,100 +18.0%
Open Access 5,230 +25.0%
Data Science 4,850 +45.0%
Research Data Management 4,500 +120.0%
Academic Libraries 4,200 +5.0%
Digital Humanities 3,880 +35.0%
Information Behavior 3,540 +10.0%
상위 연구 기관 Top 10
기관명 국가 논문 수
Leiden University Netherlands 980
Indiana University USA 890
University of Sheffield United Kingdom 850
University of Illinois Urbana-Champaign USA 810
Nanyang Technological University Singapore 760
Wuhan University China 720
Sungkyunkwan University South Korea 680
University of Granada Spain 650
University of Toronto Canada 610
Monash University Australia 580

영향력 높은 논문

  1. The FAIR Guiding Principles for scientific data management and stewardship (2016) — Scientific Data — 10,250회 인용 —
    DOI/원문 바로가기
  2. Research data management and data scientists in the academic library (2015) — Journal of Librarianship and Scholarly Communication — 750회 인용 —
    DOI/원문 바로가기
  3. Altmetrics: A manifesto (2014) — Unknown — 3,500회 인용 —
    DOI/원문 바로가기
  4. From ‘big data’ to ‘long data’: a review of the literature (2014) — International Journal of Digital Curation — 680회 인용 —
    DOI/원문 바로가기
  5. Library and information science research in Asia-Pacific: a bibliometric study (2014) — Scientometrics — 210회 인용 —
    DOI/원문 바로가기

주요 연구 클러스터 및 신흥 주제

대표 클러스터

  • Scholarly Communication & Metrics:
    Bibliometrics, Scientometrics, Open Access, Altmetrics, Citation Analysis
  • Data Curation & Digital Infrastructure:
    Digital Libraries, Research Data Management, FAIR Data, Digital Preservation, Metadata
  • Information Behavior & Literacy:
    Information Literacy, Information Behavior, Health Information, Digital Divide, User Studies
  • Computational LIS & AI:
    Information Retrieval, Data Science, Machine Learning, Natural Language Processing, Recommender Systems
  • Archives & Cultural Heritage:
    Archives, Digital Humanities, Cultural Heritage, Records Management, GLAM
  • Social Informatics & Ethics:
    Information Ethics, Misinformation, Privacy, Social Informatics, Knowledge Management
신흥 연구 주제

  • FAIR Principles (최근 36개월): 성장률 +250%
    Findable, Accessible, Interoperable, and Reusable data principles have become a de facto standard in data curation.
  • AI in Libraries (최근 24개월): 성장률 +320%
    Application of AI, especially LLMs, for user services, metadata generation, and discovery systems.
  • Misinformation / Disinformation (최근 36개월): 성장률 +180%
    Research on detection, impact, and mitigation strategies, often linked with information literacy.
  • Data Literacy (최근 36개월): 성장률 +150%
    Growing emphasis on educating students and researchers on how to critically assess, manage, and use data.

한계 및 유의사항

실시간 데이터베이스 검색이 불가능하여, 기존 학습 데이터와 공개된 데이터셋에 기반한 분석 및 추정치가 포함되었습니다. 피인용 수와 같은 동적 데이터는 특정 시점의 스냅샷이며 현재 값과 다를 수 있습니다. 특히, 각 데이터베이스 별 정확한 히트 수는 제공할 수 없습니다.

원본 데이터 (JSON)
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}

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