Practices for Data Transparency and Reproducibility
Originally posted:
Talk at RT2 2020, Online
- Slides
- Part of a series
- For more information, see https://github.com/labordynamicsinstitute/practices-presentation-2020
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.
Notes
- RT2 2020 agenda (see also OSF) in Session “Day 4 Data Sharing”
- Other materials connected to this session
- See OSF storage
- Dena Plemmons - Ethics
- Jen Sturdy - Responsible Open Data