Online training report on: Agronomic Data Collection and Management Tools for Better Agricultural Research

cg.contactm.devkota@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpResilient Agrifood Systems - RAFSen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.initiativeExcellence in Agronomyen_US
cg.contributor.initiativeFragility to Resilience in Central and West Asia and North Africaen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idAtassi, Layal: 0000-0002-7271-7591en_US
cg.creator.idAttaher, Samar: 0000-0001-8488-180Xen_US
cg.creator.idDevkota Wasti, Mina: 0000-0002-2348-4816en_US
cg.creator.idNangia, Vinay: 0000-0001-5148-8614en_US
cg.date.embargo-end-dateTimelessen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.subject.sdgSDG 1 - No povertyen_US
dc.contributorAttaher, Samaren_US
dc.contributorDevkota Wasti, Minaen_US
dc.contributorNangia, Vinayen_US
dc.creatorAtassi, Layalen_US
dc.date.accessioned2024-01-09T18:16:11Z
dc.date.available2024-01-09T18:16:11Z
dc.description.abstractExcellence in Agronomy (EiA) and Fragility to Resilience in Central and West Asia and North Africa (F2R-CWANA) are “One CGIAR” Initiatives that aim for sustainable intensification and climate change adaptation in addition to building resilient agrifood systems in the region to support smallholder farmers by providing evidence-based data-driven agronomy solutions. Thus, it is critical to improve agronomic research techniques and contexts by utilizing digital tools that enable researchers to develop and share FAIR digital data sets (findable, accessible, interoperable, and reusable). When data is shared under the same community-agreed-upon standards, making data interoperable allows the data to be reused for scientific research as inputs for different analyses and models to deliver insights and management options for stakeholders, including the ultimate beneficiaries, who are often poor farmers.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationLayal Atassi, Samar Attaher, Mina Devkota Wasti, Vinay Nangia. (11/10/2023). Online training report on: Agronomic Data Collection and Management Tools for Better Agricultural Research.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/69018
dc.languageenen_US
dc.subjecttraining reporten_US
dc.subjectagronomic data collectionen_US
dc.titleOnline training report on: Agronomic Data Collection and Management Tools for Better Agricultural Researchen_US
dc.typeReporten_US
dcterms.available2023-10-11en_US
mel.sub-typeTraining materialen_US

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