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Reference
Lessons
- Introduction
- Reproducibility Basics
- Shell: Getting around the “black box”
- (Neuro)Debian/Git/GitAnnex/DataLad: Distributions and Version Control
- ReproEnv: Virtual machines/Containers, Neurodocker
- Break
- FAIR Data
- Overview: Data and the FAIR Principles
- Lunch
- Data Processing
- Neuroimaging Workflows
- ReproIn/DataLad: A complete portable and reproducible fMRI study from scratch
- ReproIn/DataLad: A Reproducible GLM Demo Analysis
- Break
- Statistics
- An introduction to the Statistics in reproducibility module
License

Hands on reproducible analysis of neuroimaging data: Nov. 2-3, UCSD

Introduction

Overview

Teaching: 30 min
Exercises: 0 min

Questions

Objectives

The presentation here

Key Points

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