Practices for Data Transparency and Reproducibility
Originally posted:
Talk at Beyond the Numbers (St. Louis Fed), Online
- Slides
- For more information, see https://github.com/labordynamicsinstitute/beyond-2020-presentation
Abstract
Description: Reproducibility and replicability are critical elements of credible scientific research. Data provenance is an important, but often neglected piece of replicability. In particular when data cannot be published, but can be accessed by shared community, properly documenting provenance is essential, but difficult. I report on the experience gathered from nearly 1,000 reproducibility reports, and on the guidance we give to authors in order to provide good-enough data provenance.
The Beyond the Numbers 2020 website 
has a video recording.