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) 的使命是创建一个动态且灵活的数据基础设施，以促进健康研究并推进与老年学生命历程相关的知识。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，提供查找和访问相关材料的工具，并提高老年学数据的可用性。 NACDA 在重复以前的结果和发现新的发现方面发挥着至关重要的作用。该 R33 应用程序增强了 NACDA 支持新的跨学科合作发展的能力，使这些关系朝着全新的方向发展。我们改变了 NACDA 的纵向数据分布方法，引入了一种基于数据互操作性的模型，这是 NACDA 在创新纵向数据增强方面工作的逻辑延伸。该应用程序介绍了 NACDA 采用互操作性模型来支持多学科团队科学的老龄化研究，方法是引入标准化基础设施，该基础设施整合现有和新兴发现，加速干预措施的开发，以改善老龄化相关的结果。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成统一的结构，该应用程序的结果将加速老龄化研究，超出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目标。 1) 识别——NACDA 将继续识别老龄化领域，对这些数据进行正式编目，提供结构化元数据，并酌情物理保存数据集合。使用“通用数据元素”（CDE）方法，该过程将形式化变量级信息和概念结构。我们将创建跨域 XML/DDI 模板，以统一 NIA 确定的高优先级纵向老化数据的跨波纵向研究。 2) 整合——该项目将把各个健康主题的独立纵向研究相互联系起来，包括阿尔茨海默氏病和相关痴呆症 (ADRD)、认知、与 COVID 19 并发症相关的风险、现有合并症和更广泛的健康状况。 3) 运营——为研究界提供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) 框架将维护集成的数据收集、支持服务、书目跟踪和社交媒体推广。该项目将通过会议演示、研讨会和在线网络研讨会提供培训和教育服务。该应用程序引入了支持团队科学的可持续研究基础设施。