All the resources and conText a new conScript needs, smushed together into a single repository.
Welcome to the Center for Open Neuroscience, where we are working together to make Neuroscience a better science!
We do that by developing standards, workflows, tools, and automation to improve the effieniency, transparency, and reproducibility of the next generation of Neuroscience.
If you are a new employee of the Center for Open Neuroscience, see con/boarding.
There are a LOT of things to know! We have a handy definitions page, which briefly introduces acronyms, projects, and more with links.
Here are a few resources that can help to understand how the projects fit together into the Open Neuroscience ecosystem.
5 Steps to More Reproducible Neuroimaging Research : High level of how many of the ReproNim projects fit together into a Reproducibility-friendly workflow.
1. Study Design
2. Data Collection
3. Data Processing
4. Statistical Analysis
5. Publication
Dartmouth neuroimaging fundamentals : Course that covers basic MRI physics, and high level explanations of programming, data analysis, and more!
(private) ReproNim grant 2021 drive : All the drafts and responses of the 2021 ReproNim Grant.
Open is not enough. Let’s take the next step: an integrated, community-driven computing platform for neuroscience : note written in 2012
Promoting an open research culture
Dianne Patterson's Neuroimaging Core Docs for the University of Arizona group is an excellent resource that covers usage of many open source Neuroimaging tools for BIDS data.
A new virtue of phantom MRI data: explaining variance in human participant data
- Python package template for new research software projects: https://github.com/UCL-ARC/python-tooling
- Utility to create a basic Python project structure with tests, CI etc.: https://github.com/neuroinformatics-unit/python-cookiecutter
- A template for small scientific python projects (aged): https://github.com/uwescience/shablona
- CON @jwodder's template: https://github.com/jwodder/pyrepo
- Template repo for bootstrapping and maintaining SOPs (Standard operation procedures): https://github.com/nipreps/SOPs-Cookiecutter