In June 2014, OHBM Council created a “Statement on Neuroimaging Research and Data Integrity”, and in a practical move created a Committee on Best Practices in Data Analysis and Sharing (COBIDAS).
COBIDAS MRI
The OHBM Committee on Best Practice in Data Analysis and Sharing (COBIDAS) on MRI was completed in 2016 and is available here: http://www.humanbrainmapping.org/COBIDASreport and on bioRxiv. You can cite this document with this reference:
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., Proal, E., Thirion, B., Van Essen, D. C., White, T., Yeo, B. T. T. (2016). Best Practices in Data Analysis and Sharing in Neuroimaging using MRI. bioRxiv doi: 10.1101/054262.
"Best practices in data analysis and sharing in neuroimaging using MRI" has been published in Nature Neuroscience. As part of the Springer Nature Content Sharing Initiative, you can now publicly share full-text access to a view-only version of your paper by using the following SharedIt link: http://rdcu.be/pxWt
Thomas E. Nichols, PhD
Chair, COBIDAS
COBIDAS MEEG
At the OHBM Town Hall meeting in 2017, the issue of an additional COBIDAS initiative – this time focused on EEG and MEG data (or MEEG for short) was discussed, and quickly implemented by Aina Puce and Cyril Pernet. The COBIDAS MEEG followed closely the report made for MRI with the same spirit in promoting best practices for reproducible neuroimaging. A preprint is available in the OSF server: https://osf.io/a8dhx and the whole document can be read as blogs at https://cobidasmeeg.wordpress.com/. The COBIDAS welcomes feedback from the community.
COBIDAS clinical fMRI for Language Mapping
In 2017, Professor Susan Bookheimer proposed the preparation of a Best Practice document for clinical functional MRI during the Vancouver annual meeting and a first draft was made for the 2019 Rome annual meeting. After the COVID-19 pandemic and much revision, the document was finalized by Natalie L. Voets and Andreas Bartsch in 2023. The document provided a comprehensive view on clinical challenges associated with fMRI mapping from the choice of the data acuisition and paradigms to the reporting. The white paper is available as a preprint on the OSF (https://osf.io/r7u8p) and as a blog with browsable subsections at https://cobidasclinicalfmriforlanguagemapping.wordpress.com/.
Leave your feedback
COBIDAS will continue to be updated and improve the report as feedback is received. You can send comments and add your feedback to the COBIDAS blog here: http://cobidas.wordpress.com.