OpenEye: Introducing ORD Best Practices for Eye-Tracking Data

Humans rely on their vision in almost every scenario, making eye movement data valuable across diverse fields such as psychology, linguistics, economics, human-computer interaction, and machine learning. However, a major challenge of eye movement research is the fragmentation of datasets—many are not publicly available, scarce, domain-specific, and lack interoperability. To address these issues, we propose the development of global open research data (ORD) standards for eye movement datasets to enhance accessibility, reusability, and cross-disciplinary collaboration. To support researchers in applying these standards, we are presenting a pipeline that can be used to work with and create eye movement data in a FAIR way. By establishing common guidelines and implementing the necessary tools for applying these guidelines to eye-tracking data collection, formatting, and sharing, we aim to break down existing barriers and foster in-novation across research communities.

Project duration: 01.07.2025 - 31.07.2026

Funded by: swissuniversities