Shreeve Kaitlyn N, Hurley Robert W, Adams Meredith C B
University of Massachusetts School of Medicine, Worcester, MA 01655, United States.
Department of Anesthesiology, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States.
JAMIA Open. 2025 May 21;8(3):ooaf040. doi: 10.1093/jamiaopen/ooaf040. eCollection 2025 Jun.
This work aims to provide a specialized template for integrating diverse study data types with varying sharing restrictions specific to NIH HEAL Initiative chronic pain and substance use research.
We adapted the NIH-GEN DMSP template from DMPTool to incorporate comprehensive guidance from the NIH HEAL Initiative Public Access and Data Sharing Policy.
Our template provides structured guidance on implementing common data elements, standardizing metadata, protecting sensitive information, and selecting appropriate HEAL-compliant data repositories.
Adapting to evolving data policies presents challenges for researchers, particularly when funding institutions update requirements and existing guidance primarily addresses clinical trials and basic science research rather than complex, multisource data integration.
This streamlined planning template enables researchers to efficiently comply with NIH data sharing standards while ensuring data follows Findable, Accessible, Interoperable, and Reusable (FAIR) principles . By simplifying the process, we facilitate improved data management practices that enhance collaboration across diverse HEAL research projects.
本研究旨在提供一个专门的模板,用于整合具有不同共享限制的多种研究数据类型,这些限制特定于美国国立卫生研究院(NIH)的“治愈创议”(HEAL)慢性疼痛和物质使用研究。
我们对DMPTool中的NIH - GEN DMSP模板进行了调整,以纳入NIH HEAL倡议公共获取和数据共享政策的全面指导。
我们的模板为实施通用数据元素、规范元数据、保护敏感信息以及选择合适的符合HEAL标准的数据存储库提供了结构化指导。
适应不断演变的数据政策给研究人员带来了挑战,特别是当资助机构更新要求且现有指导主要针对临床试验和基础科学研究而非复杂的多源数据整合时。
这个简化的规划模板使研究人员能够有效地遵守NIH数据共享标准,同时确保数据遵循可查找、可访问、可互操作和可重用(FAIR)原则。通过简化流程,我们促进了改进的数据管理实践,增强了不同HEAL研究项目之间的合作。