OREONI

Open and Reproducible Neuroimaging: From study inception to publication. Resources for the entire research life cycle.

A recent collaborative work effort meets one common barrier in practicing Open Science by its core: How do I practice Open Science?

Even though the interest in and the understanding of the need of Open Science is rising, researchers often just don’t know how to follow an Open Science research workflow and where to fine the necessary resources. With this paper, a consortium of over 20 experts from different neuroimaging modalities gathered detailed information to give guidance for exactly those questions.

Besides a list of around 250 resources on open and reproducible neuroimaging research, the tools and practices are also reviewed and grouped by their appearance in the research life cycle. The article thus comprehensively covers practices and resources for every step in the neuroimaging research life cycle (figures and headings reused from Niso et al. (2022)1 under a CC-BY-NC-ND 4.0 license):

Practices and tools for preparation, piloting, pre-registration, obtaining participants’ consent and ongoing quality control and assessment.
Open-source acquisition hardware and software
RDM standards and tools: from data organization to annotation and publication
Analysis workflows and software to ensure reproducibility
FAIR sharing, publication and beyond

The published article lives as a Jupyter book build on a Github repository. Everyone who is interested in the OREONI project can clone the repository and contribute to the Jupyter book. The authors especially encourage everyone “who finds the uptake of specific practices difficult” to contribute to the OREONI project, since the overall goal is to overcome these very difficulties that are commonly experienced by Open-Science-newbies.

  1. https://doi.org/https://doi.org/10.1016/j.neuroimage.2022.119623 ↩