The potential of data pooling through open data infrastructure in motor performance research

Abstract Open data is a core principle of open science that promotes transparency, collaboration, and innovation through data sharing and reuse. In motor performance research, it offers significant potential to overcome the limitations of small, isolated studies by enabling large-scale interdisciplinary analyses. Despite their benefits, open data practices remain underutilised in this field. This discussion paper examines the opportunities and challenges of implementing open data infrastructure in motor performance research, using the MO|RE data repository as an example. MO|RE supports FAIR principles through tailored functionalities like standardised metadata, harmonisation, and quality control. However, technical, legal, and cultural barriers still limit wider adoption. Recent developments in German sports science show progress toward fostering an open data culture. The paper argues that combining technical solutions with institutional support and cultural change is crucial to unlocking the full potential of open data for advancing motor performance research.