A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research
How can we improve transparency and reproducibility in neuroimaging research? This guide covers three major topics in open science (data, code, and publications) and offers practical advice as well as highlighting advantages of adopting more open research practices.
A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research | PLOS Biology Article Authors Metrics Comments Media Coverage Reader Comments Figures Figures Abstract Recent years have seen an increase in alarming signals regarding the lack of replicability in neuroscience, psychology, and other related fields. To avoid a widespread crisis in neuroimaging research and consequent loss of credibility in the public eye, we need to improve how we do science. This article aims to be a practical guide for researchers at any stage of their careers that will help them make t
Explore this link on the map →saved by
related reading
- The Good Research Code Handbook — Good research codegoodresearch.dev
- The speed of science - Works in Progress Magazineworksinprogress.co
- Gap Mapgap-map.org
- Neurdiness Blog | Grace W. Lindsay | Computational Neuroscientist | Page 2gracewlindsay.com
- Neuroscience is pre-paradigmatic. Consciousness is whytheintrinsicperspective.com
- RajLabrajlaboratory.blogspot.com
- Neuroinformatics – Emotivemotiv.com
- A heart of firemarleyx.com
- Why you should share your data - by Sergey Frolovspinespresso.substack.com
- Lab AI Policy | Todd Gureckistodd.gureckislab.org
- Frontiers | Author guidelinesfrontiersin.org
- Tips and Code for Empirical Research Workflows — AI Alignment Forumalignmentforum.org