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Making raw-to-BIDS less painful: multimodal conversion and curation with BIDS Manager #28

@karellopez

Description

@karellopez

Title

Making raw-to-BIDS less painful: multimodal conversion and curation with BIDS Manager

Name of the tutor(s)

Dr. Karel López Vilaret, Dr. Jorge F. Bosch-Bayard

Link to the tutorial materials

https://ancplaboldenburg.github.io/bids_manager_documentation/

Expected duration

90 minutes preferred; additional 45-minute fast-track version available if needed

Recording Consent

Yes

Required skills

Beginner-friendly

Programming Language

Python / GUI-based software / BIDS conversion tools

Tags

BIDS, raw-to-BIDS, data curation, metadata, MRI, MEG, EEG, reproducibility, neuroimaging, GUI, validation

Image/Logo for the OHBM TrainTrack website

https://github.com/karellopez/BIDS-Manager/blob/main/miscellaneous/images/Logo_negative_square.png

Short description

This Deeper TrainTrack introduces BIDS Manager, a specialized GUI-driven software for interactive raw-to-BIDS conversion and curation across MRI, MEG, and EEG datasets.

The session is designed as a practical bridge between BIDS concepts and real-world data conversion. Many researchers understand the value of BIDS, but the actual step from chaotic raw data to a clean BIDS dataset can still be difficult, fragmented, and highly manual. BIDS Manager addresses this gap by combining metadata scanning, interactive curation, conversion control, BIDS tree preview, validation, and post-conversion review into one integrated workflow.

The session will follow three main steps:

  1. Short introduction to BIDS
    A brief overview of the BIDS logic, focusing on why consistent naming, metadata, folder structure, and validation matter for downstream analysis, sharing, and reproducibility.

  2. Introduction to BIDS Manager
    A short demonstration of the software concept and interface, including how BIDS Manager scans raw acquisitions, detects metadata and organization issues, supports suffix mapping, handles repeated runs, previews the future BIDS structure, and connects conversion decisions with validation.

  3. Hands-on multimodal raw-to-BIDS conversion
    The main part of the session will be practical. Participants will work through example conversion and curation workflows for MRI, MEG, and EEG data, learning how to inspect raw inputs, make curation decisions, run conversion, check the generated BIDS structure, and review the output.

For the organizers:

The preferred duration is 90 minutes (Friday 12th during deeper traintrack). An additional 45-minute fast-track version covering the same core workflow is also available if the schedule let me. The longer version would allow a more complete introduction and additional practical examples across modalities.

This TrainTrack is conceptually related to BIDS workshop content, but it is designed as a standalone practical session for participants who already have some familiarity with BIDS or who want to see how raw-to-BIDS conversion and curation can be implemented in practice. I am happy to coordinate the timing and framing with other BIDS-related TrainTracks or workshops to avoid unnecessary overlap and make the programme as coherent as possible for participants.

I also have this website:

https://karellopez.github.io/INDoS_BrainHack/

The program is more detailed here. Please attach.

Please read and follow the OHBM Code of Conduct

  • I agree to follow the OHBM Code of Conduct during the hackathon

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