General Dataset Curation Guide (GDCG)
cg.contact | francesco.bonechi@cgmel.org | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.crp | CGIAR Research Program on Livestock Agri-Food Systems - Livestock | en_US |
cg.contributor.crp | CGIAR Research Program on Grain Legumes and Dryland Cereals - GLDC | en_US |
cg.contributor.crp | Big Data in Agriculture - BDA | en_US |
cg.contributor.funder | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.project | CGIAR Platform for Big Data in Agriculture | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.end-date | 2019-01-17 | en_US |
cg.coverage.start-date | 2018-09-01 | en_US |
cg.subject.agrovoc | data management | en_US |
cg.subject.agrovoc | data quality | en_US |
dc.creator | Bonechi, Francesco | en_US |
dc.date.accessioned | 2019-02-13T13:07:32Z | |
dc.date.available | 2019-02-13T13:07:32Z | |
dc.description.abstract | This presentation addresses some of the dataset curation steps: cleaning files, data dictionary, referencing to standard vocabulary and all the others required actions and processes to curate the datasets. The result also consists in the conversion of the file from a licensed software format (e.g. Microsoft Excel), which can be open only using the same family of products with specific supported versions, to a stable format like the CSV one, compatible with any other CSV reading program, ensuring that the file can be read well into the future. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/1c6e80ef3680d8bafd917604563cf478/v/c7b3c3955aaf130ef2c550df047786b2 | en_US |
dc.identifier.citation | Francesco Bonechi. (30/10/2019). General Dataset Curation Guide (GDCG). | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/9440 | |
dc.language | en | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.subject | data sharing | en_US |
dc.subject | data curation | en_US |
dc.title | General Dataset Curation Guide (GDCG) | en_US |
dc.type | Presentation | en_US |
dcterms.available | 2019-10-30 | en_US |
mel.funder.grant# | International Center for Tropical Agriculture - CIAT :C-109-17 | en_US |
mel.project.open | http://bigdata.cgiar.org/ | en_US |