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Datos en cuarentena

Authors: Florencia Serale; Arturo Muente;

Datos en cuarentena

Abstract

Entre los meses de abril y mayo del 2020, la División de Innovación para Servir al Ciudadano y el Sector de Conocimiento, Innovación y Comunicación del Banco Interamericano de Desarrollo (BID) lanzaron una serie de seminarios en línea llamados “Datos en cuarentena” con el objetivo de generar una conversación alrededor del uso, apertura y calidad de los datos en el contexto de la pandemia del COVID-19. La serie ofreció un espacio para entender los desafíos regionales, compartir experiencias e intercambiar opiniones de expertos. Los temas de los seminarios fueron: (1) uso de datos personales durante la pandemia; (2) retos de gobernanza y calidad de datos para fortalecer la toma de decisiones informadas; (3) el futuro de la agenda de datos y la “nueva normalidad” de los datos personales. Estas discusiones siguen siendo tan relevantes ahora como lo eran entonces, en un contexto en el que los países continúan enfrentando las consecuencias de la crisis sanitaria a la vez que despliegan sus estrategias de vacunación masiva. Para el desarrollo de los webinars, un grupo de expertos multidisciplinario de primer nivel y representativo de la comunidad de datos (gobierno, academia, sociedad civil, sector privado) permitió identificar las lecciones de esta crisis y el futuro de la agenda de datos.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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