Literature DB >> 35030631

Sleep and circadian informatics data harmonization: a workshop report from the Sleep Research Society and Sleep Research Network.

Diego R Mazzotti1,2, Melissa A Haendel3, Julie A McMurry3, Connor J Smith4, Daniel J Buysse5, Till Roenneberg6, Thomas Penzel7, Shaun Purcell8, Susan Redline9, Ying Zhang9, Kathleen R Merikangas10, Joseph P Menetski11, Janet Mullington12, Eilis Boudreau4.   

Abstract

The increasing availability and complexity of sleep and circadian data are equally exciting and challenging. The field is in constant technological development, generating better high-resolution physiological and molecular data than ever before. Yet, the promise of large-scale studies leveraging millions of patients is limited by suboptimal approaches for data sharing and interoperability. As a result, integration of valuable clinical and basic resources is problematic, preventing knowledge discovery and rapid translation of findings into clinical care. To understand the current data landscape in the sleep and circadian domains, the Sleep Research Society (SRS) and the Sleep Research Network (now a task force of the SRS) organized a workshop on informatics and data harmonization, presented at the World Sleep Congress 2019, in Vancouver, Canada. Experts in translational informatics gathered with sleep research experts to discuss opportunities and challenges in defining strategies for data harmonization. The goal of this workshop was to fuel discussion and foster innovative approaches for data integration and development of informatics infrastructure supporting multi-site collaboration. Key recommendations included collecting and storing findable, accessible, interoperable, and reusable data; identifying existing international cohorts and resources supporting research in sleep and circadian biology; and defining the most relevant sleep data elements and associated metadata that could be supported by early integration initiatives. This report introduces foundational concepts with the goal of facilitating engagement between the sleep/circadian and informatics communities and is a call to action for the implementation and adoption of data harmonization strategies in this domain.
© The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  circadian rhythm; harmonization; informatics; ontology; sleep

Mesh:

Year:  2022        PMID: 35030631      PMCID: PMC9189941          DOI: 10.1093/sleep/zsac002

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   6.313


  42 in total

Review 1.  Sleep problems and work injuries: a systematic review and meta-analysis.

Authors:  Katrin Uehli; Amar J Mehta; David Miedinger; Kerstin Hug; Christian Schindler; Edith Holsboer-Trachsler; Jörg D Leuppi; Nino Künzli
Journal:  Sleep Med Rev       Date:  2013-05-21       Impact factor: 11.609

2.  Sleep Duration Linked to Cardiovascular Disease.

Authors:  Bridget M Kuehn
Journal:  Circulation       Date:  2019-05-21       Impact factor: 29.690

Review 3.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

Review 4.  Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource.

Authors:  Dennis A Dean; Ary L Goldberger; Remo Mueller; Matthew Kim; Michael Rueschman; Daniel Mobley; Satya S Sahoo; Catherine P Jayapandian; Licong Cui; Michael G Morrical; Susan Surovec; Guo-Qiang Zhang; Susan Redline
Journal:  Sleep       Date:  2016-05-01       Impact factor: 5.849

5.  Effects of Computer-Based Documentation Procedures on Health Care Workload Assessment and Resource Allocation: An Example From VA Sleep Medicine Programs.

Authors:  Kathleen F Sarmiento; Eilis A Boudreau; Connor J Smith; Bhavika Kaul; Nancy Johnson; Robert L Folmer
Journal:  Fed Pract       Date:  2020-08

6.  Reliability of the Structured Clinical Interview for DSM-5 Sleep Disorders Module.

Authors:  Daniel J Taylor; Allison K Wilkerson; Kristi E Pruiksma; Jacob M Williams; Camilo J Ruggero; Willie Hale; Jim Mintz; Katherine Marczyk Organek; Karin L Nicholson; Brett T Litz; Stacey Young-McCaughan; Katherine A Dondanville; Elisa V Borah; Antoinette Brundige; Alan L Peterson
Journal:  J Clin Sleep Med       Date:  2018-03-15       Impact factor: 4.062

7.  Sleep problems: an emerging global epidemic? Findings from the INDEPTH WHO-SAGE study among more than 40,000 older adults from 8 countries across Africa and Asia.

Authors:  Saverio Stranges; William Tigbe; Francesc Xavier Gómez-Olivé; Margaret Thorogood; Ngianga-Bakwin Kandala
Journal:  Sleep       Date:  2012-08-01       Impact factor: 5.849

8.  Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study.

Authors:  Jeong-Whun Kim; Seok Kim; Borim Ryu; Wongeun Song; Ho-Young Lee; Sooyoung Yoo
Journal:  Sci Rep       Date:  2021-03-29       Impact factor: 4.379

9.  Launching PCORnet, a national patient-centered clinical research network.

Authors:  Rachael L Fleurence; Lesley H Curtis; Robert M Califf; Richard Platt; Joe V Selby; Jeffrey S Brown
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

10.  The National Sleep Research Resource: towards a sleep data commons.

Authors:  Guo-Qiang Zhang; Licong Cui; Remo Mueller; Shiqiang Tao; Matthew Kim; Michael Rueschman; Sara Mariani; Daniel Mobley; Susan Redline
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.