Reproducibility In The OHDSI Environment — Why It Matters, And How We Improve Upon It

The March 29 OHDSI Community Call focused on reproducibility, and three leaders in the community shared presentations on this topic.

– The 2021 OHDSI Reproducibility Challenge (Anna Ostropolets)
– Creating Reproducible Studies (Martijn Schuemie)
– The OHDSI Reproducibility Service (Asieh Golozar)

The videos and slides from each presentation are available below.

Anna Ostropolets, a PhD student at Columbia University, shared a presentation on the OHDSI Reproducibility Challenge, a one-day event held during the 2021 OHDSI Symposium that attempted to have teams of OHDSI collaborators reproduce the cohort logic for target, comparator and outcome cohorts for a published study run outside of OHDSI.

Martijn Schuemie, a Research Fellow in epidemiology analytics at Janssen Research and Development, shared a presentation on creating reproducible studies using OHDSI tools and best practices. Topics included the need for analyses to be repeatable, writing studies as a pipeline, and how to create the proper study package.

Asieh Golozar, Vice President and Global Head of Data Science at Odysseus Data Services, Inc., shared a community update on the OHDSI Reproducibility Service, which is centered at The Roux Institute at Northeastern University. This talk includes discussion of what type of study makes for a good candidate for reproducibility, the approach with the Center, and a proof of concept study that is seeking data partner collaboration.

The 2021 OHDSI Reproducibility Challenge (Anna Ostropolets)

Slides

Video Presentation

Creating Reproducible Studies (Martijn Schuemie)

Slides

Video Presentation

The OHDSI Reproducibility Service (Asieh Golozar)

Slides

Video Presentation

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