Exceptional Longevity Data Management and Coordinating Center

高龄是阿尔茨海默病(AD)和阿尔茨海默病相关疾病(ADRD)导致痴呆症的主要危险因素。调查导致健康老龄化和超长寿命的因素，是减轻老年痴呆症和相关痴呆症等老年病负担的机会。为此，国家老龄研究所(NIA)建立了四个长寿翻译项目，致力于确定人类和非人类物种长寿和对与年龄相关的疾病的韧性的遗传和其他分子特征。利用团队科学的方法来汇集整个网络中数十名研究人员的互补方法和专业知识，通过聚合包括阿尔茨海默氏症和相关痴呆在内的各个领域的资源和知识，为扩展和整合这项工作提供了一个强大的机会。拟议的非凡长寿数据管理和协调核心(El DMCC)的总体目标是通过促进对有助于非凡健康和对AD和ADRD等与年龄相关的疾病的复原力的保护因素的研究，帮助El研究界在这些工作中提供帮助。DMCC将通过以下方式解决这一目标：(1)建立生态环境数据和资源的动态目录，(2)启动跨团队分析项目和数据挑战，以利用来自生态环境项目和AD Resilience项目的专业知识和数据，(3)开发生态环境知识门户，作为生态环境研究资源的中央枢纽，以及(4)试点有限的数据共享空间，以便能够在云环境中为生态环境调查人员方便地计算生态环境和生态环境数据。

Advanced age is the primary risk factor for developing dementia due to Alzheimer’s Disease (AD) and Alzheimer’s Disease Related Disorders (ADRD). Investigating the factors that contribute to healthy aging and exceptional long life represents an opportunity to reduce the burden of diseases of aging including Alzheimer’s and related dementias. To this end, the National Institute on Aging (NIA) has established four longevity translational projects working to identify genetic and other molecular signatures of long life and resilience to age-related diseases in humans and non-human species. Employing team science approaches to assemble the complementary approaches and expertise of the dozens of researchers across this network presents a powerful opportunity to extend and integrate this work by aggregating resources and knowledge across domains, including Alzheimer’s and related dementias. The overarching goal of the proposed Exceptional Longevity Data Management and Coordination Core (EL DMCC) is to aid the EL research community in these efforts by facilitating research on protective factors that contribute to exceptional health and resilience to age-related diseases like AD and ADRD. The DMCC will address this goal by (1) Establishing a dynamic catalog of EL data and resources, (2) Initiating cross-team analytical projects and data challenges to leverage expertise and data from across the EL projects and in conjunction with AD resilience projects, (3) Developing an EL Knowledge Portal to act as a central hub for EL research resources, and (4) Piloting a limited data commons to enable facile computation on EL and AD data within the cloud environment for EL investigators.