Software Open Access
Princeton Handbook for Reproducible Neuroimaging
Paula P. Brooks;
Elizabeth A. McDevitt;
Anne C. Mennen;
Meghan Testerman;
Na Yeon Kim;
Matteo Visconti di Oleggio Castello;
Samuel A. Nastase
The goal of this handbook is to provide a reference for best practices in reproducible fMRI research. There’s no single “right” answer for many questions in fMRI, but here we try to provide helpful references and recommendations. Many elements of the handbook are specific to the Princeton Neuroscience Institute computing infrastructure, but the principles are widely applicable. This document will be updated over time as best practices evolve.
Files
(14.8 MB)
| Name | Size | |
|---|---|---|
|
handbook-0.2.0.zip
md5:b38a1601c9ad77cbd3e15e39bd8085fa |
14.8 MB | Download |
175
13
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 175 | 44 |
| Downloads | 13 | 5 |
| Data volume | 175.8 MB | 74.0 MB |
| Unique views | 130 | 36 |
| Unique downloads | 13 | 5 |
Indexed in
- Publication date:
- January 21, 2021
- DOI:
-
- Keyword(s):
- BIDS neuroimaging reproducibility fMRI DataLad open science
- Related identifiers:
- Compiles
- Supplementary material
- 10.5281/zenodo.3677090 (Dataset)
- 10.5281/zenodo.3727775 (Dataset)
- License (for files):
- Other (Open)