Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms

cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationCGIAR Independent Advisory and Evaluation Serviceen_US
cg.contributor.crpBig Dataen_US
cg.contributor.crpExcellence in Breedingen_US
cg.howPublishedGrey Literatureen_US
cg.placeRomeen_US
cg.reviewStatusInternal Reviewen_US
cg.subject.systemEvaluationen_US
cg.subject.systemResearchen_US
dc.contributor.authorCGIAR Independent Advisory and Evaluation Serviceen_US
dc.date.accessioned2022-10-18T10:13:02Zen_US
dc.date.available2022-10-18T10:13:02Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/125082en_US
dc.titleCross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platformsen_US
dcterms.abstractThis cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. Lessons from the brief are intended to be applied across CGIAR's portfolio and to inform interventions outside CGIAR that pursue similar objectivesen_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceCGIARen_US
dcterms.audienceDonorsen_US
dcterms.bibliographicCitationCGIAR Independent Advisory and Evaluation Service (2022). Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms. Brief. Rome: CGIAR Independent Advisory and Evaluation Service (IAES).en_US
dcterms.issued2022-09en_US
dcterms.languageenen_US
dcterms.licenseOtheren_US
dcterms.publisherCGIAR Independent Advisory and Evaluation Serviceen_US
dcterms.subjectresearchen_US
dcterms.subjectagricultureen_US
dcterms.typeBriefen_US

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