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

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationCGIAR Independent Advisory and Evaluation Serviceen
cg.contributor.crpBig Data
cg.contributor.crpExcellence in Breeding
cg.howPublishedGrey Literatureen
cg.placeRomeen
cg.reviewStatusInternal Reviewen
cg.subject.systemEvaluationen
cg.subject.systemResearchen
dc.contributor.authorCGIAR Independent Advisory and Evaluation Serviceen
dc.date.accessioned2022-10-18T10:13:02Zen
dc.date.available2022-10-18T10:13:02Zen
dc.identifier.urihttps://hdl.handle.net/10568/125082
dc.titleCross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platformsen
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
dcterms.accessRightsOpen Access
dcterms.audienceCGIARen
dcterms.audienceDonorsen
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
dcterms.issued2022-09en
dcterms.languageen
dcterms.licenseOther
dcterms.publisherCGIAR Independent Advisory and Evaluation Serviceen
dcterms.subjectresearchen
dcterms.subjectagricultureen
dcterms.typeBrief

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