The National Sleep Research Resource: towards a sleep data commons

• Published in: Journal of the American Medical Informatics Association : JAMIA Vol. 25; no. 10; pp. 1351 - 1358
• Main Authors: Zhang, Guo-Qiang, Cui, Licong, Mueller, Remo, Tao, Shiqiang, Kim, Matthew, Rueschman, Michael, Mariani, Sara, Mobley, Daniel, Redline, Susan
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.10.2018
• Subjects: Biomedical Research; Cohort Studies; Common Data Elements; Computational Biology; Datasets as Topic; Humans; Information Dissemination; Metadata; Polysomnography; Research and Applications; Retrospective Studies; Sleep Wake Disorders - diagnosis; Systems Integration; User-Computer Interface

The gold standard for diagnosing sleep disorders is polysomnography, which generates extensive data about biophysical changes occurring during sleep. We developed the National Sleep Research Resource (NSRR), a comprehensive system for sharing sleep data. The NSRR embodies elements of a data commons...