The FAIRification of research in real-world evidence: A practical introduction to reproducible analytic workflows using Git and R.
Pharmacoepidemiol Drug Saf
; 33(1): e5740, 2024 Jan.
Article
en En
| MEDLINE
| ID: mdl-38173166
ABSTRACT
Transparency and reproducibility are major prerequisites for conducting meaningful real-world evidence (RWE) studies that are fit for decision-making. Many advances have been made in the documentation and reporting of study protocols and results, but the principles for version control and sharing of analytic code in RWE are not yet as established as in other quantitative disciplines like computational biology and health informatics. In this practical tutorial, we aim to give an introduction to distributed version control systems (VCS) tailored toward the FAIR (Findable, Accessible, Interoperable, and Reproducible) implementation of RWE studies. To ease adoption, we provide detailed step-by-step instructions with practical examples on how the Git VCS and R programming language can be implemented into RWE study workflows to facilitate reproducible analyzes. We further discuss and showcase how these tools can be used to track changes, collaborate, disseminate, and archive RWE studies through dedicated project repositories that maintain a complete audit trail of all relevant study documents.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Contexto en salud:
1_ASSA2030
Problema de salud:
1_geracao_evidencia_conhecimento
Asunto principal:
Flujo de Trabajo
Tipo de estudio:
Guideline
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Pharmacoepidemiol Drug Saf
Asunto de la revista:
EPIDEMIOLOGIA
/
TERAPIA POR MEDICAMENTOS
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos