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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9853092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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