📘 Building Reproducible Analysis Pipelines

This chapter aims to set the foundation for how to achieve analytical reproducibility, especially via good coding practices, structured workflows, and tools tailored for neuroimaging.

Key goals of this chapter:

• Show that reproducibility starts with how we write, document, and share code.

• Emphasize modular, readable, and shareable analysis pipelines.

• Provide examples on how to implement best practices in sharing code.

• Introduce relevant tools that can help you in sharing your analysis code.