Designing for data sharing: Considerations for advancing health equity in data management and dissemination

Data sharing, the act of making scientific research data available to others, can accelerate innovation and discoveries, and ultimately enhance public health. The National Cancer Institute Implementation Science Centers in Cancer Control convened a diverse group of research scientists, practitioners, and community partners in three interactive workshops (May-June 2022) to identify and discuss factors that must be considered when designing research for equitable data sharing with a specific emphasis on implementation science and social, behavioral, and population health research. This group identified and operationalized a set of seven key considerations for equitable data sharing-conceptualized as an inclusive process that fairly includes the perspectives and priorities of all partners involved in and impacted by data sharing, with consideration of ethics, history, and benefits-that were integrated into a framework. Key data-sharing components particularly important for health equity included: elevating data sharing into a core research activity, incorporating diverse perspectives, and meaningfully engaging partners in data-sharing decisions throughout the project lifecycle. As the process of data sharing grows in research, it is critical to continue considering the potential positive and adverse impact of data sharing on diverse beneficiaries of health data and research.

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Publication Details

Journal
Translational Behavioral Medicine
Published
2024-08-30
DOI
https://doi.org/10.1093/tbm/ibae049
Citations
1
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
0.54

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article

Designing for data sharing: Considerations for advancing health equity in data management and dissemination

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1 citations
Translational Behavioral Medicine
Ethics in Clinical Research
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article

Designing for data sharing: Considerations for advancing health equity in data management and dissemination

Deborah J. Cohen, Justin D. Smith, Heather D’Angelo, Borsika Adrienn Rabin, Wynne E. Norton, Melody S. Goodman, Emily V. Dressler, Rebekka M. Lee, April Y. Oh
article en
1 citations

Abstract

Data sharing, the act of making scientific research data available to others, can accelerate innovation and discoveries, and ultimately enhance public health. The National Cancer Institute Implementation Science Centers in Cancer Control convened a diverse group of research scientists, practitioners, and community partners in three interactive workshops (May-June 2022) to identify and discuss factors that must be considered when designing research for equitable data sharing with a specific emphasis on implementation science and social, behavioral, and population health research. This group identified and operationalized a set of seven key considerations for equitable data sharing-conceptualized as an inclusive process that fairly includes the perspectives and priorities of all partners involved in and impacted by data sharing, with consideration of ethics, history, and benefits-that were integrated into a framework. Key data-sharing components particularly important for health equity included: elevating data sharing into a core research activity, incorporating diverse perspectives, and meaningfully engaging partners in data-sharing decisions throughout the project lifecycle. As the process of data sharing grows in research, it is critical to continue considering the potential positive and adverse impact of data sharing on diverse beneficiaries of health data and research.

Translational Behavioral MedicineVol. 14(11)
Harvard University (US), Oregon Health & Science University (US), University of Utah (US), University of California San Diego (US), Human Longevity (United States) (US), National Cancer Institute (US), Wake Forest University (US), New York University (US)
National Cancer Institute
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Ethics in Clinical Research
0.54
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