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surveyydown: una plataforma de código abierto basada en el marcado para encuestas programables y reproducibles
Pingfan Hu1, Bogdan Bunea1, John Paul Helveston1
1Department of Engineering Management and Systems Engineering, George Washington University, Washington, District of Columbia, United States of America.
PloS one
|August 29, 2025
Resumen
Los investigadores ahora pueden construir encuestas programables y reproducibles utilizando SurveyDown, una plataforma que aprovecha el marcado y el código R. Esta herramienta de código abierto mejora la colaboración y el control de datos para la creación y el análisis de encuestas.
Área de la Ciencia:
- Ciencias de la computación
- Ciencia de los datos
- Ciencias sociales
Sus antecedentes:
- Las plataformas de encuestas tradicionales a menudo se basan en interfaces gráficas o hojas de cálculo, lo que limita la reproducibilidad y el control de versiones.
- La falta de integración con los flujos de trabajo de análisis de datos existentes en R puede obstaculizar la eficiencia de la investigación.
Objetivo del estudio:
- Introducir SurveyDown, una plataforma de código abierto para crear encuestas programables y reproducibles.
- Permitir a los investigadores aprovechar el código R y el marcado para un diseño avanzado de la encuesta y la gestión de datos.
Principales métodos:
- Utiliza R markdown para la definición de encuestas, permitiendo el control de versiones a través de plataformas como GitHub.
- Aprovecha el marco web R Shiny para hacer aplicaciones de encuestas interactivas.
- Soporta características complejas como la lógica condicional, la visualización dinámica de preguntas y la aleatorización.
Principales resultados:
- surveyydown permite la creación de encuestas altamente personalizables e interactivas.
- La plataforma facilita la integración perfecta con los flujos de trabajo de recopilación y análisis de datos basados en R.
- Los investigadores mantienen un control total sobre la ejecución de la encuesta y el almacenamiento de datos.
Conclusiones:
- surveyydown ofrece un enfoque reproducible y colaborativo para la investigación de encuestas.
- La plataforma permite a los investigadores con características avanzadas y un mayor control sobre sus datos.
- Mejora la eficiencia y la integridad del proceso de investigación de la encuesta.
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