From Observation to Knowledge: Harnessing Reproducible Practices to Accelerate Science
To Know
About this Class
Reproducible research practices are essential for transforming raw scientific observations into robust, actionable knowledge. This talk explores how advances in infrastructure, developed by ReproNim and the community, empower researchers to better share, reuse, and build upon scientific data.
Dr. Kennedy will highlight our interactions with collaborative platforms like OpenNeuro, to make versioned and re-executable computation accessible at scale. In addition, the ENIGMA Parkinson’s Disease project will serve as an example highlighting harmonization and query across dozens of research sites, and how public and private metadata stores (so-called ReproLakes and ReproPonds) can be integrated to support FAIR (Findable, Accessible, Interoperable, Reusable) and reproducible analyses.