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SRS Podcast (#5): Sleep and Circadian Informatics Data Harmonization - Dr. Diego Mazzotti

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Manage episode 343021953 series 3336230
Content provided by Sleep Research Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sleep Research Society or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Episode Summary:

In this month’s episode Jesse Cook (Host) and Dr. Diego Mazzotti reviewed the major takehomes from a recent workshop focused on data harmonization of sleep and circadian informatics. The conversation unfolds into a broader discussion that covers topics including open science, the promise and pitfalls of “big data,” data sharing, and much more.

Timestamps:

(00:00) - Introduction

(00:50) - Topic Orientation

(03:30) - An introduction to Dr Diego Mazzotti and the paper

(4:30) - Beginning of guest interview

(6:00) - Dr Mazzotti’s journey into biomedical informatics

(11:48) - Word Association!

(14.23) - 10,000 foot view of paper

(18:35) - Key findings

(22:01) - An introduction to SRS taskforce

(24.12) - A deeper dive into the workshop and actigrams

(31:04) - A deeper dive into the workshop and data sharing

(35:40) - The barriers of peer review and data sharing

(48:48) - Future directions into improvements in data sharing

(58:47) - Thank you and acknowledgements

(59:50) - Outro

Relevant Links and Social Media:

Some Information on the National Sleep Research Resource (NSRR):

The [sleepdata.org]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.

Get in contact with us:

[email protected]

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 343021953 series 3336230
Content provided by Sleep Research Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sleep Research Society or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Episode Summary:

In this month’s episode Jesse Cook (Host) and Dr. Diego Mazzotti reviewed the major takehomes from a recent workshop focused on data harmonization of sleep and circadian informatics. The conversation unfolds into a broader discussion that covers topics including open science, the promise and pitfalls of “big data,” data sharing, and much more.

Timestamps:

(00:00) - Introduction

(00:50) - Topic Orientation

(03:30) - An introduction to Dr Diego Mazzotti and the paper

(4:30) - Beginning of guest interview

(6:00) - Dr Mazzotti’s journey into biomedical informatics

(11:48) - Word Association!

(14.23) - 10,000 foot view of paper

(18:35) - Key findings

(22:01) - An introduction to SRS taskforce

(24.12) - A deeper dive into the workshop and actigrams

(31:04) - A deeper dive into the workshop and data sharing

(35:40) - The barriers of peer review and data sharing

(48:48) - Future directions into improvements in data sharing

(58:47) - Thank you and acknowledgements

(59:50) - Outro

Relevant Links and Social Media:

Some Information on the National Sleep Research Resource (NSRR):

The [sleepdata.org]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.

Get in contact with us:

[email protected]

  continue reading

27 episodes

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