Meghani Salimah H, Mooney-Doyle Kim, Barnato Amber, Colborn Kathryn, Gillette Riley, Harrison Krista L, Hinds Pamela S, Kirilova Dessi, Knafl Kathleen, Schulman-Green Dena, Pollak Kathryn I, Ritchie Christine S, Kutner Jean S, Karcher Sebastian
Department of Biobehavioral Health Sciences NewCourtland Center for Transitions and Health (S.H.M), Leonard Davis Institute of Health Economics; University of Pennsylvania, Philadelphia, PA.
Department of Family and Community Health (K.M.D), School of Nursing, University of Maryland, Baltimore, MD.
J Pain Symptom Manage. 2024 Sep;68(3):308-318. doi: 10.1016/j.jpainsymman.2024.05.027. Epub 2024 May 31.
Data sharing is increasingly an expectation in health research as part of a general move toward more open sciences. In the United States, in particular, the implementation of the 2023 National Institutes of Health Data Management and Sharing Policy has made it clear that qualitative studies are not exempt from this data sharing requirement. Recognizing this trend, the Palliative Care Research Cooperative Group (PCRC) realized the value of creating a de-identified qualitative data repository to complement its existing de-identified quantitative data repository. The PCRC Data Informatics and Statistics Core leadership partnered with the Qualitative Data Repository (QDR) to establish the first serious illness and palliative care qualitative data repository in the U.S. We describe the processes used to develop this repository, called the PCRC-QDR, as well as our outreach and education among the palliative care researcher community, which led to the first ten projects to share the data in the new repository. Specifically, we discuss how we co-designed the PCRC-QDR and created tailored guidelines for depositing and sharing qualitative data depending on the original research context, establishing uniform expectations for key components of relevant documentation, and the use of suitable access controls for sensitive data. We also describe how PCRC was able to leverage its existing community to recruit and guide early depositors and outline lessons learned in evaluating the experience. This work advances the establishment of best practices in qualitative data sharing.
作为向更开放科学总体转变的一部分,数据共享在健康研究中越来越成为一种期望。特别是在美国,2023年美国国立卫生研究院数据管理与共享政策的实施明确表明,定性研究也不能豁免于此数据共享要求。认识到这一趋势,姑息治疗研究合作组织(PCRC)意识到创建一个去识别化的定性数据存储库以补充其现有的去识别化定量数据存储库的价值。PCRC数据信息学与统计核心领导层与定性数据存储库(QDR)合作,在美国建立了首个严重疾病和姑息治疗定性数据存储库。我们描述了用于开发这个名为PCRC-QDR的存储库的过程,以及我们在姑息治疗研究人员社区中的推广和教育情况,这促成了首批十个项目在新存储库中共享数据。具体而言,我们讨论了我们如何共同设计PCRC-QDR,并根据原始研究背景创建了用于存储和共享定性数据的定制指南,为相关文档的关键组成部分建立统一期望,以及对敏感数据使用合适的访问控制。我们还描述了PCRC如何利用其现有社区招募和指导早期数据存入者,并概述了在评估这一经验过程中吸取的教训。这项工作推动了定性数据共享最佳实践的建立。