The National Sleep Research Resource (NSRR) is an NHLBI-supported repository for sharing large amounts of sleep data (polysomnography, actigraphy and questionnaire-based) from multiple cohorts, clinical trials, and other data sources. Launched in April 2014, the mission of the NSRR is to advance sleep and circadian science by supporting secondary data analysis, algorithmic development, and signal processing through the sharing of high-quality data sets.
As part of NHLBI’s efforts to harness data science to drive precision medicine, NSRR is collaborating with NHLBI BioData Catalyst® (BDC) to integrate NSRR data and resources into the BDC ecosystem. BDC is a cloud-based ecosystem where researchers can access NHLBI heart, lung, blood, and sleep data and leverage innovative data analysis tools, applications, and workflows to accelerate their research efforts.
The NSRR provides investigators with the ability to browse, search, and download sleep research data, using harmonized terms for core variables that are common across datasets. Sign up for an NSRR account here.
The NSRR currently hosts multiple large-scale datasets comprising a repository of tens of thousands of polysomnographic records, questionnaires, and demographic data. These data can be accessed by the public with the goal of advancing sleep and circadian science as well as signal processing and data analysis techniques. View Our Data Sets or use Our Cohort Matrix to find the data that best fits your needs.
A major aim of the NSRR is data harmonization, in which data is processed and formatted to be consistent across data sets. By harmonizing data across multiple studies, it is possible combine data in a principled way, increasing the statistical and scientific power of analyses.
The NSRR aims to provide open-source computational tools to the community to enable improved analysis and processing of sleep data. The NSRR pipeline is based on Luna, a C/C++ library focused on the analysis of large numbers of sleep studies. Luna is completely open-source and not dependent on proprietary software. If you're interested in analyzing sleep signals from the NSRR, you might want to start by looking at Luna. Browse all analysis tools here.
The NSRR encourages active engagement by the sleep and circadian communities, with the goals of expanding the breadth and depth of the sleep-related data and understanding of optimal methods of sleep data analysis. We provide:
The NSRR creates a unique space to share and link covariate data, complex physiological data, and quantitative signal (e.g., EEG, ECG) processing results. The NSRR team will guide you through the process of preparing and uploading your datasets to the NSRR. We welcome contributions from researchers in sleep medicine and related disciplines. The NSRR provides all data cost-free to incoming users who complete an online data request. All data - retrospective and prospective - are welcome on the NSRR.