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dc.contributorBonaiuti, Enricoen_US
dc.creatorGraziano, Valerioen_US
dc.date2019-02-26en_US
dc.date.accessioned2019-02-27T11:44:35Z
dc.date.available2019-02-27T11:44:35Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/337dd472c2a412b8907a98e2cd38f87aen_US
dc.identifier.citationValerio Graziano, Enrico Bonaiuti. (26/2/2019). Making Dataset Interoperable and Machine Readable: Operative Workshop.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9555
dc.description.abstractData curation has become a key component to ensure accuracy of research and usability of its results. The International Center for Agricultural Research in Dry Areas (ICARDA) with the participation of the International Livestock Research Institute (ILRI) has led this operative workshop with the aim of a) raising awareness of the importance of datasets cleanliness for machine reading and knowledge sharing for reusability and collaboration in research, b) analyze together with the scientists their constraints in dataset compiling and use in the perspective of promoting their results by also promoting their datasets. The General Dataset Curation Guide (GDCG) – compiled in partnership with the CRP on Grain Legumes and Dryland Cereals (GLDC), CRP on Livestock (LIVESTOCK), Platform on Big Data (BDP) and ICARDA GeoAgro – has been presented and the solutions it offers have been tested live by the scientists, providing ground for future discussion and more in-depth analysis of the subject.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectdataseten_US
dc.subjectdata curationen_US
dc.subjectdataset curationen_US
dc.subjectcurationen_US
dc.titleMaking Dataset Interoperable and Machine Readable: Operative Workshopen_US
dc.typeReporten_US
cg.creator.idGraziano, Valerio: 0000-0002-2025-3449en_US
cg.creator.idBonaiuti, Enrico: 0000-0002-4010-4141en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocknowledge managementen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpBig Data in Agriculture - BDAen_US
cg.contributor.funderInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.projectCGIAR Platform for Big Data in Agricultureen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionGlobalen_US
cg.contactvalerio.graziano@cgmel.orgen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttp://bigdata.cgiar.org/en_US
mel.sub-typeOther (Workshop Report)en_US
mel.funder.grant#International Center for Tropical Agriculture - CIAT :C-109-17en_US


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