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Indonesian state educational universities' bibliometric dataset.

Lantip Diat Prasojo1, Reni Fatmasari2, Eti Nurhayati3

  • 1Department of Educational Management, Postgraduate Program, Universitas Negeri Yogyakarta, Indonesia.

Data in Brief
|December 25, 2018
PubMed
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This study presents a bibliometric dataset of ten leading Indonesian universities, analyzing publications from the Scopus database. The data covers publication trends, subject areas, and affiliations to map research output.

Area of Science:

  • Bibliometrics
  • Educational Research
  • Higher Education Studies

Background:

  • Bibliometric analysis is crucial for understanding research output and impact.
  • Indonesian higher education institutions are increasingly participating in global research.
  • A comprehensive dataset is needed to evaluate the research landscape of leading Indonesian educational universities.

Purpose of the Study:

  • To present a bibliometric dataset for ten leading Indonesian educational universities.
  • To provide insights into publication trends, subject areas, and affiliations.
  • To serve as a foundation for future bibliometric and research impact studies.

Main Methods:

  • Data extraction from the Scopus database.
  • Bibliometric analysis techniques applied to publication records.

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  • Systematic collection of data on documents per year, subject area, source title, document type, country/territory, author, affiliation, and citation counts.

    • Main Results:

    • The dataset includes comprehensive publication data for Universitas Pendidikan Indonesia (UPI), Universitas Negeri Malang (UM), Universitas Negeri Semarang (UNNES), Universitas Negeri Surabaya (Unesa), Universitas Negeri Yogyakarta (UNY), Universitas Negeri Makassar (UNM), Universitas Negeri Jakarta (UNJ), Universitas Negeri Padang (UNP), Universitas Negeri Medan (Unimed), and Universitas Negeri Gorontalo (UNG).
    • Analysis covers documents per year, subject areas, source titles, document types, and author/affiliation data.
    • Information on most cited documents is provided for each university.

    Conclusions:

    • This data article offers a valuable resource for researchers interested in Indonesian higher education and research output.
    • The dataset facilitates comparative analysis and trend identification in educational research.
    • It supports evidence-based policymaking and strategic development within Indonesian universities.