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A new Brain Imaging Data Structure (BIDS) extension standardizes eye-tracking data organization. This ensures reliable, transparent neuroimaging research by structuring gaze and pupil data, enhancing data sharing and analysis.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Data Science

Background:

  • The Brain Imaging Data Structure (BIDS) is a crucial standard for neuroimaging data organization.
  • Existing BIDS extensions cover various modalities, but a specific standard for eye-tracking data is missing.
  • Lack of a standardized format hinders data sharing and reproducibility in eye-tracking research.

Purpose of the Study:

  • To introduce a BIDS extension (BEP20) for standardizing eye-tracking data and metadata.
  • To define a granular specification for organizing raw eye-tracking recordings, including gaze and pupil data.
  • To enhance BIDS by incorporating asynchronous model parameters and event messages.

Main Methods:

  • Developed a new BIDS extension (BEP20) specifically for eye-tracking data.
  • Defined data and metadata organization for raw eye-tracking recordings.
  • Incorporated a mechanism for asynchronous events, parameters, and messages.

Main Results:

  • BEP20 provides a structured format for eye-tracking data (gaze, pupil).
  • The extension accommodates raw data and associated metadata from eye-tracking devices.
  • BEP20 enables the inclusion of asynchronous contextual information and events.

Conclusions:

  • This BIDS extension establishes a robust standard for eye-tracking data.
  • BEP20 promotes the development of automated and transparent eye-tracking data structures.
  • The standard will bolster reliability and transparency in eye-tracking research.