Brain Imaging Data Structure (BIDS)

Neuroimaging experiments result in complicated data that can be arranged in many different ways. So far there is no consensus on how to organize and share data obtained in neuroimaging experiments. Lack of consensus (or a standard) leads to misunderstandings and time wasted on rearranging data or rewriting scripts expecting certain structure. BIDS (Brain Imaging Data Structure) was developed to give the community a simple and easy to adopt way of organizing neuroimaging and behavioral data.

Software currently supporting BIDS

• BIDS Apps (a growing set of portable containerized data processing pipelines that understand BIDS datasets)

• Converters

  • AFNI BIDS-tools

  • BIDS2ISATab

  • BIDSto3col

  • BIDS2NDA

  • bidskit

  • Data2Bids

  • Dcm2Bids

  • DCM2NIIx

  • DICM2NII

  • HeuDiConv

  • OpenfMRI2BIDS

  • ReproIn (HeuDiConv-based turnkey solution)

  • bids2xar (for XNAT import)

  • XNAT2BIDS

  • Horos (Osirix) export plugin

  • BIDS2NIDM

  • BIDScoin

  • MNE-BIDS (MEG/EEG/iEEG)

  • EEGLAB with plugin (MEG/EEG analysis package)

• Institution specific data management/conversion tools

  • dac2bids

  • Conversion tool for the Donders InstituteAutobids from the Centre for Functional and Metabolic Mapping (CFMM) at Western’s Robarts Research Institute

  • Biscuit
    Graphically convert raw KIT and Elekta MEG data to BIDS format

• Other Tools

  • Automatic Analysis (fMRI processing toolbox)

  • BIDSHandler (Python module allowing complete manipulation of BIDS data)

  • Brainstorm (MEG/EEG analysis package)

  • C-PAC (Configurable Pipeline for the Analysing Connectomes)

  • FMRIPREP (preprocessing workflow)

  • OpenNeuro (repository)

  • PyBIDS (Python module to harmonize access and manipulation)

• Quality Assessment

  • MRIQC

  • QAP