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The reproducibility of COVID-19 data analysis: paradoxes, pitfalls, and future challenges

In the midst of the COVID-19 experience, we learned an important scientific lesson: knowledge acquisition and information quality in medicine depends more on “data quality” rather than “data quantity.” The large number of COVID-19 reports, published in a very short time, demonstrated that the most a...

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Detalles Bibliográficos
Autores principales: Serio, Clelia Di, Malgaroli, Antonio, Ferrari, Paolo, Kenett, Ron S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896906/
https://www.ncbi.nlm.nih.gov/pubmed/36741433
http://dx.doi.org/10.1093/pnasnexus/pgac125