Organizing Audio Data: A BIDS-Inspired Approach

Organizing Audio Data: A BIDS-Inspired Approach#

Organizing audio data effectively is crucial for efficient data retrieval, analysis, and sharing. Inspired by the Brain Imaging Data Structure (BIDS), a standardized format for organizing and describing neuroimaging data, we propose a similar methodology for audio data.

BIDS for Audio Data#

Just as BIDS provides a consistent way to manage neuroimaging data, we can apply similar principles to audio data. Here’s a proposed structure:

  • project/

    • dataset_description.json

    • participants.tsv

    • participants.json

    • sub-001/

      • ses-001/

        • audio/

          • sub-001_ses-001_task-description_audio.wav

          • sub-001_ses-001_task-description_audio.json

        • ses-001_scans.tsv

      • ses-002/

        • audio/

          • sub-001_ses-002_task-description_audio.wav

          • sub-001_ses-002_task-description_audio.json

        • ses-002_scans.tsv

    • sub-002/

      • ses-001/

        • audio/

          • sub-002_ses-001_task-description_audio.wav

          • sub-002_ses-001_task-description_audio.json

        • ses-001_scans.tsv

      • ses-002/

        • audio/

          • sub-002_ses-002_task-description_audio.wav

          • sub-002_ses-002_task-description_audio.json

        • ses-002_scans.tsv

In this structure:

  • sub-001 and sub-002 represent different subjects.

  • ses-001 and ses-002 represent different sessions.

  • audio directory contains the audio files and their corresponding JSON files containing metadata.

  • task-description is a short label of the task performed during the recording.

This structure allows for easy navigation and retrieval of specific audio files, making it highly efficient for large datasets.

Contents