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Salud Pública

Rory Chen1, Vibeke S Catts1, Ashleigh S Vella1

  • 1Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, Sydney, NSW, Australia.

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|December 23, 2025
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Resumen
Este resumen es generado por máquina.

El Global Ageing and Dementia Study Explorer (GLADSE) centraliza los datos de investigación sobre demencia, mejorando la accesibilidad y la colaboración multiplataforma para un descubrimiento científico más rápido. Esta herramienta mejora la Localización, Accesibilidad, Interoperabilidad y Reutilización (FAIR) de los datos en las plataformas de investigación sobre demencia a nivel mundial.

Palabras clave:
Salud PúblicaDemenciaMetadatosInvestigaciónColaboraciónCiencia de DatosGerontologíaNeurociencia

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Área de la Ciencia:

  • Gerontología
  • Neurociencia
  • Ciencia de Datos

Sus antecedentes:

  • Las plataformas descentralizadas de investigación sobre demencia dificultan el descubrimiento y la reutilización de datos.
  • Los investigadores enfrentan desafíos para navegar por múltiples sitios y compilar manualmente metadatos.
  • Las plataformas existentes como Dementias Platform Australia, Dementias Platform UK y ADDI enfatizan los principios de datos FAIR pero carecen de acceso unificado.

Objetivo del estudio:

  • Desarrollar una solución integrada para explorar y comparar conjuntos de datos de investigación sobre demencia en múltiples plataformas.
  • Mejorar la Localización, Accesibilidad, Interoperabilidad y Reutilización (FAIR) de los datos en la investigación sobre demencia.
  • Facilitar la colaboración multiplataforma y el análisis federado.

Principales métodos:

  • Desarrollado el Global Ageing and Dementia Study Explorer (GLADSE), una aplicación R Shiny de código abierto.
  • Recopilados y estandarizados metadatos utilizando los temas y dominios del modelo de datos C-SURV.
  • Construido GLADSE con módulos R Shiny bajo el framework golem para modularidad y escalabilidad.

Principales resultados:

  • GLADSE centraliza la exploración de metadatos, permitiendo la comparación directa de conjuntos de datos entre plataformas.
  • La herramienta ofrece un panel interactivo con filtros, visualizaciones y generación de informes.
  • La retroalimentación temprana indica una mejora en el descubrimiento de datos, la colaboración multiplataforma y las capacidades de análisis federado.

Conclusiones:

  • GLADSE avanza la investigación sobre demencia al hacer que los datos sean FAIR y fomentar la colaboración.
  • Los desarrollos futuros incluyen la incorporación de metadatos a nivel de medición, de imagen y genómicos.
  • La herramienta maximiza la inversión pública en infraestructura de investigación y apoya el progreso en la comprensión y el tratamiento de la demencia.