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

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cg.contactv.graziano@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Potato Center - CIPen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.crpCRP on Dryland Cereals - DCen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.crpCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idGraziano, Valerio: 0000-0002-2025-3449en_US
cg.creator.idProietti, Claudio: 0000-0002-3969-288Xen_US
cg.creator.idBonaiuti, Enrico: 0000-0002-4010-4141en_US
cg.creator.idJani, Sara: 0000-0003-2554-5026en_US
cg.identifier.doihttps://dx.doi.org/10.7490/f1000research.1114910.1en_US
cg.subject.agrovocdataen_US
cg.subject.agrovocevaluationen_US
cg.subject.agrovoclearningen_US
cg.subject.agrovocmonitoringen_US
cg.subject.agrovocplanningen_US
cg.subject.agrovocdata managementen_US
cg.subject.agrovocdata qualityen_US
cg.subject.agrovocdata processingen_US
cg.subject.agrovocdatabasesen_US
cg.subject.agrovocdata accessen_US
cg.subject.agrovocdata miningen_US
cg.subject.agrovocdata analysisen_US
cg.subject.agrovocdata retrievalen_US
cg.subject.agrovocdata gatheringen_US
cg.subject.agrovocknowledge sharingen_US
dc.contributorHolmes, Hollyen_US
dc.contributorProietti, Claudioen_US
dc.contributorBonaiuti, Enricoen_US
dc.contributorJani, Saraen_US
dc.creatorGraziano, Valerioen_US
dc.date.accessioned2017-09-27T13:14:05Z
dc.date.available2017-09-27T13:14:05Z
dc.description.abstractImpact 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.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/4R4NGaZQ/v/e098224a19ca1c8e8a27728d0cafaf0aen_US
dc.identifier.citationValerio 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).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7479
dc.languageenen_US
dc.publisherInternational Center for Agricultural Research in the Dry Areas (ICARDA)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectdata-seten_US
dc.subjectdata systemen_US
dc.subjectdatabaseen_US
dc.subjectdata sharingen_US
dc.titleMonitoring, Evaluation & Learning (MEL): Envisioning an Optimal Data Flow to achieve Development Outcomesen_US
dc.typePresentationen_US
dcterms.available2017-09-07en_US

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