KKU-BiblioMerge: A novel tool for multi-database integration in bibliometric analysis

Autores/as

DOI:

https://doi.org/10.47909/ijsmc.157

Palabras clave:

multi-database integration, bibliometric tool, scientometric analysis, data deduplication, cross-platform analysis, KKU-BiblioMerge

Resumen

Objetivo. Este estudio tuvo como objetivo desarrollar y validar KKU-BiblioMerge V.1.0, una herramienta bibliométrica diseñada para abordar las limitaciones de los datos de una sola fuente en el análisis bibliométrico mediante la integración de datos de múltiples bases de datos, específicamente Scopus y Web of Science (WoS).
Diseño/Metodología/Enfoque. La herramienta se desarrolló utilizando el marco R Shiny e incorpora funciones clave para la deduplicación de datos, el mapeo de campos y las comprobaciones de integridad para garantizar una fusión eficaz de conjuntos de datos. El rendimiento de KKU-BiblioMerge se evaluó probando su capacidad para importar, fusionar y exportar datos bibliométricos, centrándose en la eficiencia y la precisión de la consolidación de registros de Scopus y WoS.
Hallazgos. La aplicación KKU-BiblioMerge procesó e integró eficazmente 686 documentos iniciales, eliminando el 24,49 % de registros duplicados para producir un conjunto de datos final de 518 entradas únicas. La herramienta demostró una sólida consistencia de datos y una alta precisión en el mapeo de campos, ofreciendo una integración multiplataforma confiable de datos bibliométricos en comparación con herramientas como VOSviewer y Biblioshiny.
Originalidad/Valor. KKU-BiblioMerge V.1.0 proporciona una solución robusta y fácil de usar para el análisis bibliométrico de múltiples bases de datos, lo que permite una comprensión más completa e imparcial de los panoramas de investigación. Su capacidad para integrar diversos conjuntos de datos sienta las bases para el avance del software bibliométrico, ampliando el alcance y la precisión de los análisis en todos los dominios científicos.

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Citas

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Iberoamerican Journal of Science Measurement and Communication

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Publicado

2025-02-01

Cómo citar

Chansanam, W., & Li, C. (2025). KKU-BiblioMerge: A novel tool for multi-database integration in bibliometric analysis. Iberoamerican Journal of Science Measurement and Communication, 5(1), 1–16. https://doi.org/10.47909/ijsmc.157

Número

Vol. 5 Núm. 1 (2025): Iberoamerican Journal of Science Measurement and Communication

Sección

Artículo original

Licencia

Derechos de autor 2025 Wirapong Chansanam, Chunqiu Li

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