Poster / Presentation

Monitoring, Evaluation & Learning (MEL): Envisioning an Optimal Data Flow to achieve Development Outcomes

author(s) Graziano, Valerio - Holmes, Holly - Proietti, Claudio - Bonaiuti, Enrico - Jani, Sara
from International Center for Agricultural Research in the Dry Areas (ICARDA)
permalink open
themes
regions
  • Northern America
  • Americas
  • World
citation

Valerio Graziano, Holly Holmes, Claudio Proietti, Enrico Bonaiuti, Sara Jani. (7/9/2017). Monitoring, Evaluation & Learning (MEL): Envisioning an Optimal Data Flow to achieve Development Outcomes. Beirut, Lebanon: International Center for Agricultural Research in the Dry Areas (ICARDA)
Monitoring, Evaluation & Learning (MEL): Envisioning an Optimal Data Flow to achieve Development Outcomes

Publications and datasets provided via GARDIAN

Abstract

Impact in agricultural research is strictly related to the data flow quality within research for development institutions. Achieving the Sustainable Development Goals (or Development Outcomes) is the final stage of the Impact Pathway adopted by the CGIAR, a multi-step strategy that has data management at its core. 
To answer the need for findable, accessible, interoperable and reusable data within the Consortium, the online platform Monitoring, Evaluation & Learning (MEL) has been developed and implemented in 2015, 
in full compliance with the CGIAR Open Access and Data Management Policy of 2013

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