Advancing Equity, Diversity, and Inclusion in Data Research: Insights from a PEDRI Cross-Sector Roundtable.

IF 2.2 Q3 HEALTH CARE SCIENCES & SERVICES
International Journal of Population Data Science Pub Date : 2026-07-06 eCollection Date: 2026-01-01 DOI:10.23889/ijpds.v11i5.3606
Samaira Khan, Doreen Tembo, Katie Porter, Cassie Smith
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引用次数: 0

Abstract

Persistent inequities in research datasets mean that marginalised communities are routinely under-represented. Engagement practices often unintentionally exclude the very groups most affected by data-driven decisions, while organisations frequently lack the training, resources, or guidance needed to address these gaps. Together, these issues risk reinforcing structural inequities and undermining the quality, relevance, and public trust of data research. To respond to these challenges, PEDRI convened a cross-sector roundtable in September 2025, bringing together twenty researchers, engagement practitioners, inclusion specialists, and public contributors to identify practical strategies for embedding EDI throughout the research lifecycle. Participants identified several critical barriers: exclusionary engagement practices, over-reliance on the same communities, inconsistent data collection standards, lack of funding for Public Involvement and engagement and insufficient EDI training for researchers and data managers. The group identified a range of solutions rooted in intersectional approaches and the need to embed meaningful public involvement at every research stage. Priority actions included expanding PEDRI's Resources Hub with tailored EDI guidance, strengthening its convening role, and working with partners across the sector nationally and internationally to connect researchers with diverse communities, reduce engagement burden, and align sector-wide EDI and PIE priorities. This presentation will share concrete findings, cross-sector solutions, and priority actions arising from the roundtable. By placing inclusion at the heart of data research, we can build not only better datasets, but a fairer, more trustworthy research ecosystem that serves all communities.

推进数据研究的公平性、多样性和包容性:来自PEDRI跨部门圆桌会议的见解。
研究数据集中持续存在的不平等意味着边缘化社区通常代表性不足。参与实践往往无意中排除了受数据驱动决策影响最大的群体,而组织往往缺乏解决这些差距所需的培训、资源或指导。总之,这些问题有可能加剧结构性不平等,破坏数据研究的质量、相关性和公众信任。为了应对这些挑战,PEDRI于2025年9月召开了一次跨部门圆桌会议,汇集了20名研究人员、参与从业者、包容专家和公共贡献者,以确定在整个研究生命周期中嵌入EDI的实用策略。与会者确定了几个关键障碍:排斥性参与做法、过度依赖同一社区、不一致的数据收集标准、缺乏公众参与和参与的资金以及对研究人员和数据管理人员的EDI培训不足。该小组确定了一系列基于交叉方法的解决方案,以及在每个研究阶段嵌入有意义的公众参与的必要性。优先行动包括通过量身定制的EDI指导扩大PEDRI的资源中心,加强其召集作用,并与国内和国际部门的合作伙伴合作,将研究人员与不同社区联系起来,减少参与负担,并协调全部门的EDI和PIE优先事项。本次演讲将分享圆桌会议的具体成果、跨部门解决方案和优先行动。通过将包容性置于数据研究的核心,我们不仅可以建立更好的数据集,还可以建立一个更公平、更值得信赖的研究生态系统,为所有社区服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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