AMP-AD Data Coordination Center Supplement - Lowering Barriers of Access and Use: Framingham Generation 1 Brain Aging Data

AMP-AD 数据协调中心补充资料 - 降低访问和使用障碍：Framingham 第一代大脑老化数据

• 批准号: 9816850
• 负责人: LARA M MANGRAVITE
• 金额: $ 41.5万
• 依托单位: SAGE BIONETWORKS
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9816850
• 关键词: Alzheimer' s Disease; Biological Markers; Brain; Code; Cognitive aging; Consultations; Data; Data Analyses; Data Coordinating Center; Data Set; Dementia; Dictionary; Documentation; FAIR principles; Framingham Heart Study; Future; Generations; Genetic; Genomics; Health; Knowledge; Life Style; Link; Modernization; National Heart, Lung, and Blood Institute; Plasma; Process; Protocols documentation; Research Personnel; Resources; Risk Factors; Serum; Social Network; Time; aging brain; brain health; cloud based; cohort; data sharing; dementia risk; health data; innovation; programs

Accelerating Alzheimer’s Disease Innovation and Discovery by Lowering Barriers to Framingham Cognitive Aging and Dementia Data The Framingham Heart Study (FHS) started in 1948 with the Original Generation 1 (Gen 1) cohort. This cohort has undergone 32 regular health examinations over 64 years in which many co-morbid features and risk factors (e.g., demographic, health, lifestyle, social networks, genetic/genomic, serum and plasma biomarkers) linked to future risk of dementia/Alzheimer’s disease (AD). Additionally, surveillance for incident dementia/AD has been underway since 1976. However, the complicated state of the data has resulted in a rich data set that uses a dissemination protocol that does not meet today’s principles for FAIR data (Findable, Accessible, Interoperable, Reusable). The proposed supplement seeks to modernize the data sharing process for the FHS brain health data to meet necessary standards for reuse by AMP-AD and other brain researchers. To meet this data sharing objective, we will prepare a master brain health dataset that includes all the coding programs and enhanced data dictionary necessary to process the raw data and convert into a more readily analyzable format. We will use the AMP-AD Knowledge Portal to broadly distribute the coding programs and documentation needed to understand and prepare FHS data for analysis, thereby eliminating redundant effort by researchers trying to use FHS data, particularly for the first time. We will also pursue alternative cloud- based strategies in consultation with FHS and the NHLBI.

通过降低障碍来加速阿尔茨海默病的创新和发现 认知老化和痴呆数据 FHS研究始于1948年，最初的第1代（Gen 1）队列。该队列 在64年的时间里，她经历了32次定期健康检查，其中许多共病特征和风险 因素（例如，人口统计学、健康、生活方式、社交网络、遗传/基因组、血清和血浆生物标志物） 与未来痴呆/阿尔茨海默病（AD）的风险有关。此外，监测痴呆/AD事件 从1976年就开始了然而，数据的复杂状态导致了丰富的数据集， 使用不符合当今FAIR数据原则（可查找，可解释， 可互操作、可重用）。拟议的补充旨在使FHS的数据共享流程现代化 大脑健康数据，以满足必要的标准，供AMP-AD和其他大脑研究人员重复使用。满足这一 数据共享目标，我们将准备一个主大脑健康数据集，其中包括所有编码程序， 处理原始数据并将其转换为更易于分析的数据所需的增强型数据字典 格式.我们将使用AMP-AD知识门户广泛分发编码程序， 理解和准备FHS数据进行分析所需的文档，从而消除了多余的工作 研究人员试图使用FHS数据，特别是第一次。我们还将寻求替代云- 与FHS和NHLBI协商制定基于战略的战略。