Making Cognitive Neuroscience More Open and Reproducible

Why can researchers generate highly divergent conclusions from the same data? The last decade of neuroscience research has provided clear evidence of a reproducibility problem, related to variables like high flexibility in data analysis strategies or low statistical power of many imaging studies. Dr. Russell Poldrack outlines the role of open science in addressing such issues, and the emerging ecosystem of tools that can help enable a future of transparent and reproducible research.
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