CGIAR Platform for Big Data in Agriculture
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Amazon

Amazon

by Stefanie Neno | Aug 8, 2018 | Private Sector

Wageningen University

Wageningen University

by Stefanie Neno | Aug 8, 2018 | Academia

University of Adelaide

University of Adelaide

by Stefanie Neno | Aug 8, 2018 | Academia

University of Western Australia

University of Western Australia

by Stefanie Neno | Aug 8, 2018 | Academia

University of Twente

University of Twente

by Stefanie Neno | Aug 8, 2018 | Academia

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The Platform for Big Data in Agriculture harnesses the power of big data for agricultural research and development. It is one of three CGIAR research platforms and it is carried out with support from the CGIAR Trust Fund, UKAID and through bilateral funding agreements.

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Acknowledgement Guideline

This document presents a recommended template on how to acknowledge Big Data’s support.

 

SUPPORT TYPE EXAMPLE
100% funded by big data This work was undertaken as part of, and funded by, CGIAR Platform for Big Data in Agriculture.
Funded by big data and other donors This work was undertake as part of CGIAR Platform for Big Data in Agriculture. Funding support for this work was provided by CGIAR Platform for Big Data in Agriculture, (names of other funders in alphabetical order).
Shared services The (name of the product) used in this work was provided by CGIAR Platform for Big Data in Agriculture as a Shared Service.
Event/ training program The (name of the event or training program) was organized and funded by CGIAR Platform for Big Data in Agriculture.
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