Our commitment to open & reproducible science
NIBL is committed to promoting open and reproducible science. We are making our best efforts to accomplish this via:
- Time-stamped preregistration of studies clearly defining a priori hypotheses and methods, as well as identifying which approaches were performed post hoc;
- Open sharing of scripts for our testing paradigms, data processing and data analyses;
- Uploading raw MRI/fMRI and unthresholded statistical maps for public use.
The below links provide direction to the various repositories and sites that facilitate our commitment to reproducible science. Please understand that our efforts are an evolving process and thus data and/or scripts may not be currently available (particularly around the intail publication of papers), however please visit the projects page here, where links tied to specific projects are provided.
If you can't find what you need please contact us directly and we will happily provide any and all data/scripts upon request.
Preregistrations & behavioral data are available via the Open Science Framework
Paradigm, data processing & analysis scripts can be found on our Github
Our raw MRI/fMRI data can be found at OpenfMRI
Our unthresholded statistical maps associated with our publications can be found at NeuroVault
Additional open science resources
Center for Open Science
Our mission is to provide expertise, tools, and training to help researchers create and promote open science within their teams and institutions. Promoting these practices within the research funding and publishing communities accelerates scientific progress.
Stanford Center for Reproducible Neuroscience
The Stanford Center for Reproducible Neuroscience was founded in 2015, with the goal of harnessing high-performance computing to make neuroscience research more reliable.