Kaitlyn N Shreeve, Robert W Hurley, Meredith C B Adams
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引用次数: 0
摘要
目的:这项工作旨在为整合不同的研究数据类型提供一个专门的模板,这些数据类型具有不同的共享限制,具体到NIH HEAL倡议慢性疼痛和物质使用研究。材料和方法:我们改编了来自DMPTool的NIH- gen DMSP模板,以纳入NIH HEAL倡议公共访问和数据共享政策的综合指导。结果:我们的模板提供了关于实现公共数据元素、标准化元数据、保护敏感信息和选择适当的符合heali的数据存储库的结构化指导。讨论:适应不断变化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和现有指导主要针对临床试验和基础科学研究而不是复杂的多源数据集成时。结论:该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、可互操作和可重复使用(FAIR)原则。通过简化流程,我们促进了数据管理实践的改进,从而加强了不同HEAL研究项目之间的协作。
Navigating the new NIH Data Management Sharing plan: the NIH HEAL Initiative Data2Action DMPTool template.
Objectives: 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.
Materials and methods: We adapted the NIH-GEN DMSP template from DMPTool to incorporate comprehensive guidance from the NIH HEAL Initiative Public Access and Data Sharing Policy.
Results: Our template provides structured guidance on implementing common data elements, standardizing metadata, protecting sensitive information, and selecting appropriate HEAL-compliant data repositories.
Discussion: 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.
Conclusion: 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.