Robert Wood Johnson Foundation, Princeton, New Jersey, USA.
Big Data. 2022 Sep;10(S1):S15-S18. doi: 10.1089/big.2022.0206.
Population-specific data gaps for a range of demographic characteristics, including race, ethnicity, sex, sexual orientation, gender identity, and disability status, inhibit efforts to protect and improve public health. To identify system and policy levers for addressing these data inequities, the Robert Wood Johnson Foundation (RWJF) convened five expert panels to inform deliberations of the National Commission to Transform Public Health Data Systems (as well as other articles in this supplement). This article reflects the experiences and observations of the authors, RWJF program officers who worked with the expert panels. It provides a brief overview of the process for selecting and convening the expert panels, how this process demonstrated principles of equity, and key themes that emerged across the panels. The processes RWJF used to develop and support the expert panels reflect the Foundation's effort to challenge orthodoxies in research and philanthropy that perpetuate and exacerbate disparities in health and well-being.
人群特定数据的差距涵盖了多种人口特征，包括种族、民族、性别、性取向、性别认同和残疾状况，这些差距阻碍了保护和改善公共卫生的努力。为了确定解决这些数据不平等的系统和政策杠杆，罗伯特·伍德·约翰逊基金会（RWJF）召集了五个专家小组，为国家公共卫生数据系统转型委员会（以及本增刊中的其他文章）的审议提供信息。本文反映了作者的经验和观察，作者是与专家小组合作的 RWJF 项目官员。本文简要概述了选择和召集专家小组的过程，该过程如何体现公平原则，以及各小组之间出现的主要主题。RWJF 用于开发和支持专家小组的过程反映了该基金会努力挑战在研究和慈善事业中使健康和福祉方面的差异永久化和恶化的正统观念。
