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.
Anglès
00 - Ciència i coneixement. Investigació. Cultura. Humanitats
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IRTA
Loshin, David. 2009. "Data Quality And MDM". Master Data Management, 87-103. doi:10.1016/b978-0-12-374225-4.00005-9.
"The DCN CURATE(D) Steps – Data Curation Network". 2023. Datacurationnetwork.Org. https://datacurationnetwork.org/outputs/workflows/.