FACTORS IN AGING: Best Practices in Archiving and Sharing Interoperable Longitudinal Data Resources on Aging

老龄化因素：归档和共享可互操作的老龄化纵向数据资源的最佳实践

• 批准号: 10686410
• 负责人: JAMES W MCNALLY
• 金额: $ 74.4万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10686410
• 关键词: Acceleration; Address; Adoption; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Archives; Area; Basic Science; Behavioral Research; Bibliography; COVID-19 complications; COVID-19 risk; Cataloging; Clinical Research; Cognition; Collection; Common Data Element; Communities; Data; Data Analyses; Data Collection; Democracy; Development; Disease; Documentation; Educational process of instructing; Educational workshop; Extensible Markup Language; Foundations; Gerontology; Goals; Growth; Health; Health Promotion; Health behavior; Individual; Infrastructure; Interdisciplinary Study; Knowledge; Life Cycle Stages; Longitudinal Studies; Metadata; Mission; Modeling; National Archive; Outcome; Phase; Play; Process; Public Health; Quality of life; Research; Research Infrastructure; Research Personnel; Resources; Role; Science; Secondary to; Services; Standardization; Structure; Techniques; Training; Training and Education; United States National Institutes of Health; Work; comorbidity; computerized; data infrastructure; data integration; data interoperability; data management; data portal; data preservation; data resource; data sharing; digital; effective intervention; flexibility; improved; innovation; interdisciplinary collaboration; interoperability; operation; outreach; repository; social media; symposium; therapy development; tool; usability; web site; webinar

The National Archive of Computerized Data on Aging (NACDA) mission is to create a dynamic and flexible data infrastructure to stimulate health research and advance knowledge related to the gerontological lifecourse. Through the development and delivery of research resources and data services, NACDA alerts researchers to secondary data analysis opportunities, provides tools to locate and access relevant materials, and enhances the availability of gerontological data. NACDA plays a vital role in replicating previous results and discovering new findings. This R33 application enhances NACDA’s ability to support the development of new interdisciplinary collaborations, taking these relationships in significantly new directions. Transforming NACDA’s approach to longitudinal data distribution, we introduce a model based upon data interoperability, a logical extension of NACDA’s work in innovative longitudinal data enhancements. This application introduces NACDA’s adoption of the interoperability model to support aging research for multidisciplinary team science by introducing a standardized infrastructure that integrates existing and emerging findings in a way that accelerates the development of interventions to improve aging-related outcomes. The present application will create the tools and resources to address this need. This application’s specific goals will develop a data-sharing infrastructure to advance data interoperability in emerging scientific areas, facilitating team science and multidisciplinary research. By organizing independent but related data collections into a uniform structure, this application’s outcomes will accelerate aging research beyond what is achievable using existing collections that treat independent data collections as unique objects. 1) Identify- NACDA will continue identifying the universe of aging, formally cataloging these data, providing structured metadata, and physically preserving data collections as appropriate. Using “Common Data Elements” (CDE) approaches, this process will formalize variable-level information and concepts structures. We will create cross-domain XML/DDI templates to unify longitudinal studies across waves for longitudinal aging data identified as high priority by NIA. 2) Integrate- The project will relate the independent longitudinal studies to each other across health thematics, including Alzheimer’s disease and related dementias (ADRD), cognitions, risks associated with COVID 19 complications, existing comorbidities, and broader health conditions. 3) Operationalize – Make the data resources and analysis tools available to the research community and provide ongoing support and training for the interoperability portal. A DDI-based Cross-Domain Interoperability (CDI) framework will maintain the integrated data collections, support services, bibliographic tracking, and social media outreach. The project will provide training and educational services through conference presentations, workshops, and online webinars. This application introduces a sustainable research infrastructure supporting team science.

国家老龄化计算机化数据档案馆(NACDA)的任务是创建一个动态和灵活的数据基础设施，以促进健康研究和促进与老年学生命过程有关的知识。通过开发和提供研究资源和数据服务，NACDA提醒研究人员注意二次数据分析机会，提供工具来查找和获取相关材料，并提高老年学数据的可用性。NACDA在复制以前的结果和发现新发现方面发挥着至关重要的作用。这一R33应用程序增强了NACDA支持发展新的跨学科协作的能力，使这些关系朝着显著的新方向发展。转换NACDA的纵向数据分布方法，我们引入了一个基于数据互操作性的模型，这是NACDA在创新的纵向数据增强方面工作的逻辑扩展。此应用程序引入了NACDA采用的互操作性模型，通过引入标准化基础设施来支持多学科团队科学的老龄化研究，该基础设施以一种加速开发干预措施的方式整合了现有和新兴的发现，以改善与老龄化相关的结果。本申请将创建工具和资源来满足这一需求。该应用程序的具体目标将开发一个数据共享基础设施，以促进新兴科学领域的数据互操作性，促进团队科学和多学科研究。通过将独立但相关的数据集合组织到一个统一的结构中，此应用程序的结果将加速老化研究，而不是使用将独立数据集合视为唯一对象的现有集合所能实现的研究。1)识别--NACDA将继续识别老化的世界，对这些数据进行正式编目，提供结构化的元数据，并酌情实际保存数据集合。使用“通用数据元素”(CDE)方法，这一过程将使变量级别的信息和概念结构正式化。我们将创建跨域的XML/DDI模板，以统一NIA确定为高优先级的纵向老化数据的跨波纵向研究。2)整合--该项目将在包括阿尔茨海默病和相关痴呆症(ADRD)、认知、与COVID19并发症相关的风险、现有的合并症和更广泛的健康状况等健康主题上，将独立的纵向研究相互联系起来。3)可操作性--向研究界提供数据资源和分析工具，并为互操作性门户网站提供持续支持和培训。一个基于DDI的跨域互操作性(CDI)框架将维持综合数据收集、支助服务、书目跟踪和社交媒体推广。该项目将通过会议介绍、讲习班和在线网络研讨会提供培训和教育服务。这个应用引入了一个支持团队科学的可持续研究基础设施。