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   <dc:title>IRTA Data Curation Checklist for Researchers</dc:title>
   <dc:creator>Reverté, Carmen</dc:creator>
   <dc:creator>Bonay Giner, Enric</dc:creator>
   <dc:contributor>Producció Animal</dc:contributor>
   <dc:contributor>Altres Activitats</dc:contributor>
   <dcterms: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, &#xd;
Uniqueness, Validity, Consistency and Accuracy) and data curation best practices from DCN &#xd;
CURATED Steps.</dcterms:abstract>
   <dcterms:dateAccepted>2025-10-21T12:56:29Z</dcterms:dateAccepted>
   <dcterms:available>2025-10-21T12:56:29Z</dcterms:available>
   <dcterms:created>2025-10-21T12:56:29Z</dcterms:created>
   <dcterms:issued>2023-07-04</dcterms:issued>
   <dc:type>info:eu-repo/semantics/workingPaper</dc:type>
   <dc:identifier>http://hdl.handle.net/20.500.12327/2292</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>https://www.sciencedirect.com/science/article/abs/pii/B9780123742254000059</dc:relation>
   <dc:relation>https://datacurationnetwork.org/outputs/workflows/</dc:relation>
   <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>
   <dc:relation>"The DCN CURATE(D) Steps – Data Curation Network". 2023. Datacurationnetwork.Org. https://datacurationnetwork.org/outputs/workflows/.</dc:relation>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>Attribution 4.0 International</dc:rights>
   <dc:publisher>IRTA</dc:publisher>
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