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; 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.

有关老龄化数据（NACDA）任务的全国计算机数据档案是创建动态和灵活的数据基础架构，以刺激健康研究并提高与老年学生活相关的知识。通过开发和交付研究资源和数据服务，NACDA提醒研究人员获得二级数据分析机会，提供了定位和访问相关材料的工具，并提高了老年学数据的可用性。 NACDA在复制先前的结果并发现新发现中起着至关重要的作用。该R33应用程序增强了NACDA支持开发新的跨学科合作的能力，并将这些关系朝着大量的新方向发展。将NACDA转化为纵向数据分布的方法，我们引入了基于数据互操作性的模型，这是NACDA在创新纵向数据增强中的工作的逻辑扩展。该应用程序引入了NACDA通过引入标准化的基础架构来支持多学科团队科学的老化研究，以加快改善与衰老相关的衰老相关的干预措施的方式来支持现有和新兴发现的标准化基础架构，以支持多学科团队科学的老化研究。本应用程序将创建工具和资源来满足这一需求。该应用程序的特定目标将开发数据共享基础架构，以提高新兴科学领域的数据互操作性，从而支持团队科学和多学科研究。通过将独立但相关的数据收集组织为统一的结构，该应用程序的结果将加速使用使用现有集合将独立数据收集作为独特对象的现有集合所实现的目标。 1）识别NACDA将继续识别衰老的宇宙，正式对这些数据进行分类，提供结构化的元数据，并符合适用的物理保留数据收集。使用“通用数据元素”（CDE）方法，此过程将形式化可变级别的信息和概念结构。我们将创建跨域XML/DDI模板，以统一跨波的纵向研究，以确定为NIA确定为高优先级的纵向老化数据。 2）整合 - 该项目将在健康主题中相互关联独立的纵向研究，包括阿尔茨海默氏病和相关痴呆症（ADRD），认知，与共同的19并发症，现有合并症和更广泛的健康状况相关的认知，风险。 3）操作 - 使研究社区可用数据资源和分析工具，并为互操作性门户提供持续的支持和培训。基于DDI的跨域互操作性（CDI）框架将维护综合数据收集，支持服务，书目跟踪和社交媒体外展。该项目将通过会议演讲，研讨会和在线网络研讨会提供培训和教育服务。该应用程序介绍了支持团队科学的可持续研究基础设施。