Session Schedule

Find a specific presentation in the session by navigating to the timestamp indicated below.

0:00:00
Introduction

0:02:05
Open science in sleep research in Europe: Legal limits, new opportunities and recent progress
Dagmar Krefting (Germany)

0:25:50
Benefits and challenges of open science: A neuro-AI perspective
Thomas Yeo (Singapore)

0:47:25
The National Sleep Resource enables phenotype research and personalized medicine
Shaun Purcell (United States)

1:18:08
Interoperability, integration and harmonization of data from multiple sources for sleep medicine
Christoph Schoebel (Germany)
Cynthia Schmidt (Germany)

Summary

Sleep medicine has generated extensive multimodal datasets from both clinical patients and research subjects. Historically, these data have been primarily analyzed to extract summary metrics, such as sleep staging, respiratory events, other physiological events. However, the richness and potential of these datasets remain underutilized. By integrating these datasets with electronic health records, we can greatly enhance the scope and impact of sleep research.
 
This symposium presents various open-access data resources, including multi-center studies and publicly available datasets, that support secondary analyses and cross-disciplinary research. In addition to data sharing, open science now includes algorithms and computational tools, hosted on platforms such as Github. In countries where data sharing is restricted, coordinated, collaborative federated learning offer promising alternatives for secure and decentralized analyses. The combination of open data and open science will accelerate innovation, foster reproducibility/validation, and advance collaboration in sleep medicine and sleep research.