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dc.contributor.authorReverté, Carmen
dc.contributor.authorBonay Giner, Enric
dc.contributor.otherProducció Animalca
dc.date.accessioned2023-07-05T09:06:41Z
dc.date.created2022-07-22
dc.date.issued2023-07-04
dc.identifier.urihttp://hdl.handle.net/20.500.12327/2292
dc.description.abstractThe Data Curation Checklist for researchers is a practical quick and guide for researchers, part of the internal workflow before depositing a publication in the institutional repository to ensure basic practices of FAIR data. The document is based on simple data quality dimensions (Timeliness, Completeness, Uniqueness, Validity, Consistency and Accuracy) and data curation best practices from DCN CURATED Steps.ca
dc.format.extent1ca
dc.language.isoengca
dc.publisherIRTAca
dc.relationLoshin, David. 2009. "Data Quality And MDM". Master Data Management, 87-103. doi:10.1016/b978-0-12-374225-4.00005-9.ca
dc.relation"The DCN CURATE(D) Steps – Data Curation Network". 2023. Datacurationnetwork.Org. https://datacurationnetwork.org/outputs/workflows/.ca
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/B9780123742254000059ca
dc.relation.urihttps://datacurationnetwork.org/outputs/workflows/ca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleIRTA Data Curation Checklist for Researchersca
dc.typeinfo:eu-repo/semantics/workingPaperca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc00ca
dc.contributor.groupAltres Activitatsca


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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