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The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols

The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b) develop new analytic methods to innovate behavior...

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Autores principales: Chow, Sy-Miin, Nahum-Shani, Inbal, Baker, Justin T, Spruijt-Metz, Donna, Allen, Nicholas B, Auerbach, Randy P, Dunton, Genevieve F, Friedman, Naomi P, Intille, Stephen S, Klasnja, Predrag, Marlin, Benjamin, Nock, Matthew K, Rauch, Scott L, Pavel, Misha, Vrieze, Scott, Wetter, David W, Kleiman, Evan M, Brick, Timothy R, Perry, Heather, Wolff-Hughes, Dana L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853092/
https://www.ncbi.nlm.nih.gov/pubmed/36416389
http://dx.doi.org/10.1093/tbm/ibac069
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author Chow, Sy-Miin
Nahum-Shani, Inbal
Baker, Justin T
Spruijt-Metz, Donna
Allen, Nicholas B
Auerbach, Randy P
Dunton, Genevieve F
Friedman, Naomi P
Intille, Stephen S
Klasnja, Predrag
Marlin, Benjamin
Nock, Matthew K
Rauch, Scott L
Pavel, Misha
Vrieze, Scott
Wetter, David W
Kleiman, Evan M
Brick, Timothy R
Perry, Heather
Wolff-Hughes, Dana L
author_facet Chow, Sy-Miin
Nahum-Shani, Inbal
Baker, Justin T
Spruijt-Metz, Donna
Allen, Nicholas B
Auerbach, Randy P
Dunton, Genevieve F
Friedman, Naomi P
Intille, Stephen S
Klasnja, Predrag
Marlin, Benjamin
Nock, Matthew K
Rauch, Scott L
Pavel, Misha
Vrieze, Scott
Wetter, David W
Kleiman, Evan M
Brick, Timothy R
Perry, Heather
Wolff-Hughes, Dana L
author_sort Chow, Sy-Miin
collection PubMed
description The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b) develop new analytic methods to innovate behavioral theories and interventions. The heterogenous study designs, populations, and measurement protocols adopted by the seven studies within the ILHBN created practical challenges, but also unprecedented opportunities to capitalize on data harmonization to provide comparable views of data from different studies, enhance the quality and utility of expensive and hard-won ILD, and amplify scientific yield. The purpose of this article is to provide a brief report of the challenges, opportunities, and solutions from some of the ILHBN’s cross-study data harmonization efforts. We review the process through which harmonization challenges and opportunities motivated the development of tools and collection of metadata within the ILHBN. A variety of strategies have been adopted within the ILHBN to facilitate harmonization of ecological momentary assessment, location, accelerometer, and participant engagement data while preserving theory-driven heterogeneity and data privacy considerations. Several tools have been developed by the ILHBN to resolve challenges in integrating ILD across multiple data streams and time scales both within and across studies. Harmonization of distinct longitudinal measures, measurement tools, and sampling rates across studies is challenging, but also opens up new opportunities to address cross-cutting scientific themes of interest.
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spelling pubmed-98530922023-01-20 The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols Chow, Sy-Miin Nahum-Shani, Inbal Baker, Justin T Spruijt-Metz, Donna Allen, Nicholas B Auerbach, Randy P Dunton, Genevieve F Friedman, Naomi P Intille, Stephen S Klasnja, Predrag Marlin, Benjamin Nock, Matthew K Rauch, Scott L Pavel, Misha Vrieze, Scott Wetter, David W Kleiman, Evan M Brick, Timothy R Perry, Heather Wolff-Hughes, Dana L Transl Behav Med Brief Report The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b) develop new analytic methods to innovate behavioral theories and interventions. The heterogenous study designs, populations, and measurement protocols adopted by the seven studies within the ILHBN created practical challenges, but also unprecedented opportunities to capitalize on data harmonization to provide comparable views of data from different studies, enhance the quality and utility of expensive and hard-won ILD, and amplify scientific yield. The purpose of this article is to provide a brief report of the challenges, opportunities, and solutions from some of the ILHBN’s cross-study data harmonization efforts. We review the process through which harmonization challenges and opportunities motivated the development of tools and collection of metadata within the ILHBN. A variety of strategies have been adopted within the ILHBN to facilitate harmonization of ecological momentary assessment, location, accelerometer, and participant engagement data while preserving theory-driven heterogeneity and data privacy considerations. Several tools have been developed by the ILHBN to resolve challenges in integrating ILD across multiple data streams and time scales both within and across studies. Harmonization of distinct longitudinal measures, measurement tools, and sampling rates across studies is challenging, but also opens up new opportunities to address cross-cutting scientific themes of interest. Oxford University Press 2022-11-23 /pmc/articles/PMC9853092/ /pubmed/36416389 http://dx.doi.org/10.1093/tbm/ibac069 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society of Behavioral Medicine. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Report
Chow, Sy-Miin
Nahum-Shani, Inbal
Baker, Justin T
Spruijt-Metz, Donna
Allen, Nicholas B
Auerbach, Randy P
Dunton, Genevieve F
Friedman, Naomi P
Intille, Stephen S
Klasnja, Predrag
Marlin, Benjamin
Nock, Matthew K
Rauch, Scott L
Pavel, Misha
Vrieze, Scott
Wetter, David W
Kleiman, Evan M
Brick, Timothy R
Perry, Heather
Wolff-Hughes, Dana L
The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title_full The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title_fullStr The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title_full_unstemmed The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title_short The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
title_sort ilhbn: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853092/
https://www.ncbi.nlm.nih.gov/pubmed/36416389
http://dx.doi.org/10.1093/tbm/ibac069
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