Our research leverages data science tools to increase transparency and reproducibility in epidemiology. We regularly publish analysis datasets and replication scripts. The data science best practices for transparency and reproducibility are summarized in a lab manual, which our team is continuously updating. In addition, we have developed an internal replication process that increases reproducibility by identifying and resolving errors prior to publication.
Reproducibility-focused lab manual
Internal replication of computational workflows in scientific research. Gates Open Research. 2020.
Rigour and reproducibility in perinatal and paediatric epidemiologic research using big data. Paediatric and Perinatal Epidemiology. 2023.
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