Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network

BACKGROUND: High data quality is of crucial importance to the integrity of research projects. In the conduct of multi-center observational cohort studies with increasing types and quantities of data, maintaining data quality is challenging, with few published guidelines. METHODS: The Cure Glomerulon...

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Detalles Bibliográficos
Autores principales: Gillespie, Brenda W., Laurin, Louis-Philippe, Zinsser, Dawn, Lafayette, Richard, Marasa, Maddalena, Wenderfer, Scott E., Vento, Suzanne, Poulton, Caroline, Barisoni, Laura, Zee, Jarcy, Helmuth, Margaret, Lugani, Francesca, Kamel, Margret, Hill-Callahan, Peg, Hewitt, Stephen M., Mariani, Laura H., Smoyer, William E., Greenbaum, Larry A., Gipson, Debbie S., Robinson, Bruce M., Gharavi, Ali G., Guay-Woodford, Lisa M., Trachtman, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039553/
https://www.ncbi.nlm.nih.gov/pubmed/33851061
http://dx.doi.org/10.1016/j.conctc.2021.100749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039553/
https://www.ncbi.nlm.nih.gov/pubmed/33851061
http://dx.doi.org/10.1016/j.conctc.2021.100749

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