dc.contributor.author
Reverté, Carmen
dc.contributor.author
Bonay Giner, Enric
dc.contributor.other
Producció Animal
dc.date.accessioned
2025-10-21T12:56:29Z
dc.date.available
2025-10-21T12:56:29Z
dc.date.created
2022-07-22
dc.date.issued
2023-07-04
dc.identifier.uri
https://hdl.handle.net/20.500.12327/2292
dc.description.abstract
The 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.
dc.relation
Loshin, David. 2009. "Data Quality And MDM". Master Data Management, 87-103. doi:10.1016/b978-0-12-374225-4.00005-9.
dc.relation
"The DCN CURATE(D) Steps – Data Curation Network". 2023. Datacurationnetwork.Org. https://datacurationnetwork.org/outputs/workflows/.
dc.relation.uri
https://www.sciencedirect.com/science/article/abs/pii/B9780123742254000059
dc.relation.uri
https://datacurationnetwork.org/outputs/workflows/
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
IRTA Data Curation Checklist for Researchers
dc.type
info:eu-repo/semantics/workingPaper
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
dc.contributor.group
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