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CODATA-RDA Escuelas de Ciencia de Datos para la Investigación

Authors: Cordoba, Marcela Alfaro; Bezuidenhout, Louise; Cobe, Rafael; Jadid, Sara El; Peterson, Bianca; Quick, Rob; Shanahan, Hugh P.; +1 Authors

CODATA-RDA Escuelas de Ciencia de Datos para la Investigación

Abstract

La investigación cuantitativa contemporánea -sobre todo cuando aborda los retos de investigación más significativos y transdisciplinarios- no puede llevarse a cabo de forma eficaz sin una serie de competencias relacionadas con los datos. Esto incluye los principios y la práctica de la ciencia abierta y la gestión de datos de investigación, el uso de una serie de plataformas e infraestructuras de datos, análisis a gran escala, estadísticas, visualización y técnicas de modelado, desarrollo de software y anotación. Las escuelas de ciencias de datos para la investigación de CODATA-RDA tienen como objetivo abordar la necesidad crítica de competencias en torno a la ciencia de los datos, la gestión de los datos de investigación y la práctica de la ciencia abierta, reuniendo las iniciativas y los recursos existentes y emergentes en un programa fundacional de la ciencia de los datos de investigación que sea sostenible y aplicable en todo el mundo, en particular para los países de ingresos bajos y medios (PIBM). El enfoque consiste en organizar una serie de escuelas de dos semanas de duración que proporcionen una base en la amplia gama de temas descritos anteriormente a los investigadores de carrera temprana (ECR), centrándose en el apoyo a las personas de PIBM. Desde agosto de 2016, estas escuelas han tenido lugar en Trieste (Italia), Sao Paulo (Brasil), Pretoria (Suráfrica), Brisbane (Australia) y Kigali (Ruanda), además de las escuelas en línea durante la pandemia.

Keywords

escuelas de verano, formación, personas investigadoras jóvenes, datos para la investigación

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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