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Cambiar la ecuación en la visualización de datos científicos.

Peter Fox1, James Hendler

  • 1Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

Science (New York, N.Y.)
|February 12, 2011
PubMed
Resumen
Este resumen es generado por máquina.

Los científicos necesitan mejores herramientas de visualización de datos para la investigación. Las tecnologías emergentes de bases de datos y web pueden hacer que las visualizaciones sean más accesibles e integradas en el proceso científico, mejorando la exploración de datos.

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Área de la Ciencia:

  • Ciencia de datos Ciencia de datos.
  • La computación científica es la computación científica.
  • Información Visualización de la información

Sus antecedentes:

  • El creciente volumen de datos científicos, o diluvio de datos, requiere métodos efectivos para la interpretación de los datos.
  • Las prácticas científicas actuales a menudo tratan la visualización de datos como una salida final en lugar de una herramienta de investigación iterativa.

Objetivo del estudio:

  • Explorar cómo las tecnologías emergentes pueden facilitar la integración de la visualización de datos en el ciclo de vida de la investigación científica.
  • Abordar las limitaciones de las prácticas actuales de visualización en el análisis de datos científicos.

Principales métodos:

  • Revisión de los desafíos actuales en la visualización de datos científicos.
  • Análisis del potencial de las nuevas tecnologías de bases de datos para la visualización.
  • Evaluación de las tecnologías emergentes basadas en la web para la generación de visualizaciones rentables.

Principales resultados:

  • La visualización de datos es con frecuencia un punto final, no una parte integral de la investigación científica.
  • Las nuevas tecnologías de bases de datos y web ofrecen soluciones potenciales para reducir los costos de visualización.
  • Estos avances pueden permitir un uso más amplio de la visualización a lo largo del proceso de investigación.

Conclusiones:

  • La integración de herramientas de visualización a lo largo del ciclo de vida científico es crucial para la interpretación de los datos.
  • Las tecnologías emergentes pueden reducir la barrera de entrada para crear y utilizar visualizaciones científicas.
  • La generación rentable de visualizaciones puede mejorar el descubrimiento científico y la comprensión.