Developing pathways for community-led research with big data: a content analysis of stakeholder interviews

Abstract Background Big data (BD) informs nearly every aspect of our lives and, in health research, is the foundation for basic discovery and its tailored translation into healthcare. Yet, as new data resources and citizen/patient-led science movements offer sites of innovation, segments of the popu...

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Main Authors: Shira Grayson, Megan Doerr, Joon-Ho Yu
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Health Research Policy and Systems
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12961-020-00589-7
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spelling doaj-cb32f618a80d4912b4d0d59e2260ef8e2020-11-25T03:44:42ZengBMCHealth Research Policy and Systems1478-45052020-07-0118111210.1186/s12961-020-00589-7Developing pathways for community-led research with big data: a content analysis of stakeholder interviewsShira Grayson0Megan Doerr1Joon-Ho Yu2Sage BionetworksSage BionetworksInstitute for Public Health Genetics, University of WashingtonAbstract Background Big data (BD) informs nearly every aspect of our lives and, in health research, is the foundation for basic discovery and its tailored translation into healthcare. Yet, as new data resources and citizen/patient-led science movements offer sites of innovation, segments of the population with the lowest health status are least likely to engage in BD research either as intentional data contributors or as ‘citizen/community scientists’. Progress is being made to include a more diverse spectrum of research participants in datasets and to encourage inclusive and collaborative engagement in research through community-based participatory research approaches, citizen/patient-led research pilots and incremental research policy changes. However, additional evidence-based policies are needed at the organisational, community and national levels to strengthen capacity-building and widespread adoption of these approaches to ensure that the translation of research is effectively used to improve health and health equity. The aims of this study are to capture uses of BD (‘use cases’) from the perspectives of community leaders and to identify needs and barriers for enabling community-led BD science. Methods We conducted a qualitative content analysis of semi-structured key informant interviews with 16 community leaders. Results Based on our analysis findings, we developed a BD Engagement Model illustrating the pathways and various forces for and against community engagement in BD research. Conclusions The goal of our Model is to promote concrete, transparent dialogue between communities and researchers about barriers and facilitators of authentic community-engaged BD research. Findings from this study will inform the subsequent phases of a multi-phased project with the ultimate aims of organising fundable frameworks and identifying policy options to support BD projects within community settings.http://link.springer.com/article/10.1186/s12961-020-00589-7Big Datacommunity engagementcommunity-led researchpatient-led researchpublic healthqualitative analysis
collection DOAJ
language English
format Article
sources DOAJ
author Shira Grayson
Megan Doerr
Joon-Ho Yu
spellingShingle Shira Grayson
Megan Doerr
Joon-Ho Yu
Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
Health Research Policy and Systems
Big Data
community engagement
community-led research
patient-led research
public health
qualitative analysis
author_facet Shira Grayson
Megan Doerr
Joon-Ho Yu
author_sort Shira Grayson
title Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
title_short Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
title_full Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
title_fullStr Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
title_full_unstemmed Developing pathways for community-led research with big data: a content analysis of stakeholder interviews
title_sort developing pathways for community-led research with big data: a content analysis of stakeholder interviews
publisher BMC
series Health Research Policy and Systems
issn 1478-4505
publishDate 2020-07-01
description Abstract Background Big data (BD) informs nearly every aspect of our lives and, in health research, is the foundation for basic discovery and its tailored translation into healthcare. Yet, as new data resources and citizen/patient-led science movements offer sites of innovation, segments of the population with the lowest health status are least likely to engage in BD research either as intentional data contributors or as ‘citizen/community scientists’. Progress is being made to include a more diverse spectrum of research participants in datasets and to encourage inclusive and collaborative engagement in research through community-based participatory research approaches, citizen/patient-led research pilots and incremental research policy changes. However, additional evidence-based policies are needed at the organisational, community and national levels to strengthen capacity-building and widespread adoption of these approaches to ensure that the translation of research is effectively used to improve health and health equity. The aims of this study are to capture uses of BD (‘use cases’) from the perspectives of community leaders and to identify needs and barriers for enabling community-led BD science. Methods We conducted a qualitative content analysis of semi-structured key informant interviews with 16 community leaders. Results Based on our analysis findings, we developed a BD Engagement Model illustrating the pathways and various forces for and against community engagement in BD research. Conclusions The goal of our Model is to promote concrete, transparent dialogue between communities and researchers about barriers and facilitators of authentic community-engaged BD research. Findings from this study will inform the subsequent phases of a multi-phased project with the ultimate aims of organising fundable frameworks and identifying policy options to support BD projects within community settings.
topic Big Data
community engagement
community-led research
patient-led research
public health
qualitative analysis
url http://link.springer.com/article/10.1186/s12961-020-00589-7
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