Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

BACKGROUND: No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments. METHODS: Deve...

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Detalles Bibliográficos
Autores principales: Schmidt, Carsten Oliver, Struckmann, Stephan, Enzenbach, Cornelia, Reineke, Achim, Stausberg, Jürgen, Damerow, Stefan, Huebner, Marianne, Schmidt, Börge, Sauerbrei, Willi, Richter, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019177/
https://www.ncbi.nlm.nih.gov/pubmed/33810787
http://dx.doi.org/10.1186/s12874-021-01252-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019177/
https://www.ncbi.nlm.nih.gov/pubmed/33810787
http://dx.doi.org/10.1186/s12874-021-01252-7

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