Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report

On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture Convention, hosted by the International Cente...

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Autor principal: CGIAR Platform for Big Data in Agriculture
Formato: Informe técnico
Lenguaje:Inglés
Publicado: International Center for Tropical Agriculture 2017
Materias:
Acceso en línea:https://hdl.handle.net/10568/89448
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author CGIAR Platform for Big Data in Agriculture
author_browse CGIAR Platform for Big Data in Agriculture
author_facet CGIAR Platform for Big Data in Agriculture
author_sort CGIAR Platform for Big Data in Agriculture
collection Repository of Agricultural Research Outputs (CGSpace)
description On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture Convention, hosted by the International Center for Tropical Agriculture (CIAT) in Palmira, Colombia. The Convention marked the programmatic launch of the Platform, which aims to enable the development sector to embrace data and other digital technology approaches to solve agricultural development problems faster, better and at greater scale. The Platform works across the CGIAR network and CGIAR Research Programs (CRPs) and with the gamut of stakeholders in the agriculture sector as they grapple with creation, curation, and sharing data to enable new approaches to complex development challenges. The Platform is designed around three strategic pillars: Organize, Convene, and Inspire. The first aims to organize data so datasets are findable, accessible, and interoperable so they can be used increasingly in big data analytics. In addition, this pillar will develop open digital infrastructures for the sector that support the CGIAR’s work and enable new partnerships and innovations. The aim to convene analysts, researchers and public, private and non-profit actors in the agriculture sector will build new partnerships that both shape and fully leverage digital technologies in support of global agricultural development. The final pillar is to inspire these actors to push the limits of research and innovation to generate new data-driven approaches that solve real world development problems faster, cheaper, and more efficiently.
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spelling CGSpace894482025-03-13T09:44:15Z Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report CGIAR Platform for Big Data in Agriculture data big data grupo consultivo sobre investigación agrícola internacional investigación agricola technological innovation innovation data sets agriculture On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture Convention, hosted by the International Center for Tropical Agriculture (CIAT) in Palmira, Colombia. The Convention marked the programmatic launch of the Platform, which aims to enable the development sector to embrace data and other digital technology approaches to solve agricultural development problems faster, better and at greater scale. The Platform works across the CGIAR network and CGIAR Research Programs (CRPs) and with the gamut of stakeholders in the agriculture sector as they grapple with creation, curation, and sharing data to enable new approaches to complex development challenges. The Platform is designed around three strategic pillars: Organize, Convene, and Inspire. The first aims to organize data so datasets are findable, accessible, and interoperable so they can be used increasingly in big data analytics. In addition, this pillar will develop open digital infrastructures for the sector that support the CGIAR’s work and enable new partnerships and innovations. The aim to convene analysts, researchers and public, private and non-profit actors in the agriculture sector will build new partnerships that both shape and fully leverage digital technologies in support of global agricultural development. The final pillar is to inspire these actors to push the limits of research and innovation to generate new data-driven approaches that solve real world development problems faster, cheaper, and more efficiently. 2017 2017-11-17T12:46:57Z 2017-11-17T12:46:57Z Report https://hdl.handle.net/10568/89448 en Open Access application/pdf International Center for Tropical Agriculture BIG DATA (2017). Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report. CGIAR Platform for Big Data in Agriculture. 12 p.
spellingShingle data
big data
grupo consultivo sobre investigación agrícola internacional
investigación agricola
technological innovation
innovation
data sets
agriculture
CGIAR Platform for Big Data in Agriculture
Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title_full Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title_fullStr Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title_full_unstemmed Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title_short Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report
title_sort alliance for a data revolution cgiar platform for big data in agriculture 2017 convention report
topic data
big data
grupo consultivo sobre investigación agrícola internacional
investigación agricola
technological innovation
innovation
data sets
agriculture
url https://hdl.handle.net/10568/89448
work_keys_str_mv AT cgiarplatformforbigdatainagriculture allianceforadatarevolutioncgiarplatformforbigdatainagriculture2017conventionreport