We're excited to show you some changes that are coming to the National Sleep Research Resource! Landing Page First, you'll notice a new landing page. The new landing page is designed to help researchers find data relevant to their research, to provide tools to analyze the data, and to keep you up-to-date on news about the growing NSRR research community. Keep reading
We've released a new update to our NSRR dataset downloader. To update to the latest version 0.4.0, type the following command: gem install nsrr --no-document In preparation for some upcoming changes, we've reviewed our installation instructions for Ruby as well. If you run into any issues installing Ruby on Windows, MacOS, or Linux, let us know on the forum or email us at support@sleepdata.org. For those who haven't already, we also now recommend the use of Ruby 2.3. Keep reading
Over the past two days we've updated EDFs across the site due to an issue identified with our original approach in scrubbing the EDF start date of recording. What Happened In order to have EDFs deidentified before being posted on the NSRR, the EDFs had their header start date set to "00.00.00". This seemed reasonable as it clearly indicated that the date had been removed, while adhering to the "dd.mm.yy" format for writing a date in the signal header. Keep reading
To our NSRR community members, The NIH published a Request for Information (RFI) that seeks your feedback on data management and sharing strategies. Responses to this request will help inform NIH on how to invest in future database and data tools to support the research community. We hope you have found the existing resources of the NSRR helpful and are interested in hearing of ways to further support your research. Please email us at support@sleepdata.org. Keep reading
We're excited to announce that over the past weekend we've surpassed our 50TB data shared to users milestone! Thank you to all of the over 400 students and researchers who have made use of the National Sleep Research Resource to further your research goals and experiences. The NSRR team has continued to publish updates to our existing datasets, and has expanded the resource by two new datasets. Keep reading
The 10th NSRR dataset went online earlier this month: Multi-Ethnic Study of Atherosclerosis (MESA) Sleep. The NSRR team worked closely with the Collaborative Health Studies Coordinating Center (CHSCC) to make these data available. Keep reading
We released a new version of the Hispanic Community Health Study / Study of Latinos dataset last week. This release contains data from the Sueño Ancillary study, which recruited more than 2,000 participants to take part in an additional data collection visit that included wrist-worn actigraphy data and sleep-related questionnaires. The actigraphy data are available both in summary form within the phenotype datasets, as well as in a more "raw", epoch-by-epoch format. Keep reading
The 9th NSRR dataset has come online: it is the Honolulu-Asia Aging Study of Sleep Apnea (HAASSA). We have done this in collaboration with Kuakini Health System, who write this about the overall project: An outgrowth of the Kuakini Honolulu Heart Program (HHP) is the Kuakini Honolulu-Asia Aging Study (HAAS) that was established in 1991 to study the causes of dementia, a disease that afflicts over five million Americans. Keep reading
The Complex Signals Core is an outreach project of the NHLBI-sponsored National Sleep Research Resource (NSRR) grant. As part of this effort, we are inaugurating a series of seminars with the aim of bringing HMS community members and others interested in the analysis, interpretation, and translational applications of biomedical signals. The first of a series of seminars/workshops will be held on August 31st 2016 at 1 pm in the Zinner Board Room, at 70 Francis Street, Boston, MA. Ary L. Keep reading
This blog post isn't about a new dataset or tool, but rather an expression of our appreciation for Susan Surovec and her work on the NSRR. Susan recently retired after spending more than 20 years with the Boston Sleep Reading Center group. Susan stewarded the Sleep Heart Health Study, our most popular dataset, from data collection all the way until its posting on the NSRR. Keep reading