INCF SIG on Brain Imaging Data Structure (BIDS)

Brain Imaging Data Standard (BIDS) is an easy to use format for describing and organizing neuroimaging datasets.

Contact info

Team

The BIDS community is constantly growing and consists of the authors of the original paper [1] as well as people enrolled in the bids-discussion mailing list. The community is open to new members and feedback from anyone.

Chair

Krzysztof J. Gorgolewski
Stanford University, USA

Deputy Chair

Thomas Nichols
University of Warwick, Coventry, UK

Description

About BIDS

Brain Imaging Data Standard (BIDS) is a recently developed easy to use format for describing and organizing neuroimaging datasets. It was originally developed with a focus on human MRI data, but is currently extended to other modalities such as PET and MEG. A growing number of neuroimaging software is also being adapted to take in BIDS formatted datasets (BIDS Apps).

Learn more about BIDS: http://bids.neuroimaging.io/

About this SIG

This SIG will aim at facilitating discussions around extensions and revisions of the BIDS standards as well as the development of BIDS related tools (BIDS Apps, validators, converters).

The SIG primary form of communication is via the mailing list and discussions over the exact wording of the standard are facilitated by online editable documents (Google Docs). In person, meetings are planned for specific BEPs.

Past meetings

SIG meeting in Kuala Lumpur, August 22, in conjunction with Neuroinformatics 2017.

Other activities

BIDS coding sprint Stanford, August 28 - September 1. (Learn more about the sprint on Twitter)

Outcomes

  • Minor and major revisions of the BIDS standard
  • BIDS Extensions Proposals (BEPs)
  • Validation and conversion tools
  • APIs

Funding

This work is currently sponsored by the Laura and John Arnold Foundation.

References

[1] Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., et al. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data, 3, 160044. Retrieved from http://dx.doi.org/10.1038/sdata.2016.44