<p>Monitoring, Evaluation & Learning (MEL): envisioning an optimal data flow to achieve development outcomes</p>

Valerio Graziano; Holly Anne Holmes; Claudio Proietti; Enrico Bonaiuti; Sara Jani

doi:10.7490/f1000research.1114910.1

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Graziano V, Holmes HA, Proietti C et al. Monitoring, Evaluation & Learning (MEL): envisioning an optimal data flow to achieve development outcomes [version 1; not peer reviewed]. F1000Research 2017, 6:1739 (slides) (https://doi.org/10.7490/f1000research.1114910.1)

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Monitoring, Evaluation & Learning (MEL): envisioning an optimal data flow to achieve development outcomes

Valerio Graziano¹, Holly Anne Holmes², Claudio Proietti², Enrico Bonaiuti³, Sara Jani⁴

Published 22 Sep 2017 (https://doi.org/10.7490/f1000research.1114910.1)

Author Affiliations

¹ The International Center for Agricultural Research in Dry Areas (ICARDA), Italy
² CGIAR Research Program on Roots, Tubers and Bananas (CRP-RTB), Peru
³ The International Center for Agricultural Research in Dry Areas (ICARDA), Jordan
⁴ International Center for Agricultural Research in the Dry Areas (ICARDA), Canada

Copyright © 2017 Graziano V et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 22 Sep 2017

Monitoring, Evaluation & Learning (MEL): envisioning an optimal data flow to achieve development outcomes
[version 1; not peer reviewed]

Valerio Graziano¹, Holly Anne Holmes², Claudio Proietti², Enrico Bonaiuti³, Sara Jani⁴

Author Affiliations

Presented at

Interest Group on Agricultural Data (IGAD) Pre-Meeting of the Research Data Alliance (RDA) 10th Plenary 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

IGAD, RDA, research data, data sharing, agriculture, CGIAR, MEL, monitoring, evaluation, learning, online platform, data flow

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