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This is a big problem and not just in neuroscience. Reproducible science is inherently hard and there aren't a lot of great tools that make it easy. The key to

This is a big problem and not just in neuroscience. Reproducible science is inherently hard and there aren't a lot of great tools that make it easy. The key to solving it is having a way to track data lineage and a reproducible way to run the processing. I've been building a system that implements those ideas for the past several years called Pachyderm [0]. We've helped many scientists across different fields run their pipelines in a reproducible way. If you're suffering from this problem we'd love to chat with you. [0] https://www.pachyderm.com/ https://www.pachyderm.com/

SubiculumCode 6y ago
THis is why I am a big supporter of Configurable Pipeline for the Analysis of Connectomes (C-PAC) https://fcp-indi.github.io/docs/latest/user/index.html https://fcp-indi.github.io/docs/latest/user/index.html for neuroimaging. This software facilitates both exact reproducibility and testing variability in results as a function of multiple preprocessing choices, the latter allowing one to be sure that your results is not idiosyncratic to specific choices in proprocessing (e.g., smoothing, nuisance correction methods, etc).