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

IF 3.6 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Borsika A Rabin, Justin D Smith, Emily V Dressler, Deborah J Cohen, Rebekka M Lee, Melody S Goodman, Heather D'Angelo, Wynne E Norton, April Y Oh
{"title":"Designing for data sharing: Considerations for advancing health equity in data management and dissemination.","authors":"Borsika A Rabin, Justin D Smith, Emily V Dressler, Deborah J Cohen, Rebekka M Lee, Melody S Goodman, Heather D'Angelo, Wynne E Norton, April Y Oh","doi":"10.1093/tbm/ibae049","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48679,"journal":{"name":"Translational Behavioral Medicine","volume":" ","pages":"637-642"},"PeriodicalIF":3.6000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568841/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Behavioral Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/tbm/ibae049","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

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.

设计数据共享:在数据管理和传播中促进健康公平的考虑因素。
数据共享,即向他人提供科研数据的行为,可以加速创新和发现,并最终提高公众健康水平。美国国家癌症研究所癌症控制实施科学中心在三个互动研讨会(2022 年 5 月至 6 月)上召集了一批研究科学家、从业人员和社区合作伙伴,以确定和讨论在设计公平数据共享研究时必须考虑的因素,并特别强调实施科学以及社会、行为和人口健康研究。该小组确定并实施了公平数据共享的七项关键考虑因素--将其概念化为一个包容的过程,公平地纳入参与数据共享和受数据共享影响的所有合作伙伴的观点和优先事项,同时考虑道德、历史和利益--并将其纳入一个框架。对健康公平尤为重要的数据共享关键要素包括:将数据共享提升为一项核心研究活动,纳入不同的观点,以及在整个项目生命周期中让合作伙伴有意义地参与数据共享决策。随着数据共享进程在研究中的发展,继续考虑数据共享对健康数据和研究的不同受益者可能产生的积极和消极影响至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Translational Behavioral Medicine
Translational Behavioral Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
6.80
自引率
0.00%
发文量
87
期刊介绍: Translational Behavioral Medicine publishes content that engages, informs, and catalyzes dialogue about behavioral medicine among the research, practice, and policy communities. TBM began receiving an Impact Factor in 2015 and currently holds an Impact Factor of 2.989. TBM is one of two journals published by the Society of Behavioral Medicine. The Society of Behavioral Medicine is a multidisciplinary organization of clinicians, educators, and scientists dedicated to promoting the study of the interactions of behavior with biology and the environment, and then applying that knowledge to improve the health and well-being of individuals, families, communities, and populations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信