Authors: Ariel Rokem & Tal Yarkoni
As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales.
Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice.
This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data.
