Life Course Center External Innovative Network Core

项目摘要/摘要：外部创新研究网络 老龄化数据密集研究网络(Ndira)将支持一种新兴的跨学科 使用新的横断面、纵向和背景数据集合进行研究的科学家社区 关于人口老龄化。Ndira将把成熟的老龄化学者和新进入该领域的学者聚集在一起，并 向他们介绍对了解老年人健康状况至关重要的数据。通过培养 通信和协作，以及在数据管理和分析方面提供实际协助， 我们将为人才库和数据资源库做出贡献，以解决人口统计和 老龄化经济学。 NIA支持的创新数据基础设施项目为 了解人口老龄化的趋势和差距，早期生活经历对晚年生活的影响 结果，以及经济、家庭、环境、地理、文化和体制变化的影响 关于老年人口的背景。这些新数据源中的许多都给研究人员带来了巨大的挑战 因为它们规模大、结构复杂或准入受限。Ndira旨在缓解这些问题 通过培养一个将利用新的数据来源进行老龄化研究的学者社区来应对挑战。这个 CORE将促进针对NIA行为和社会研究部关键优先事项的研究。 Ndira将(1)建立一个广泛的研究人员社区，从事关于老龄化的数据密集型研究；(2)确定 并解决这些研究人员面临的共同问题；以及(3)吸引新用户并增加多样性 研究团体的成员。

Project Summary/Abstract: External Innovative Research Network The Network for Data-Intensive Research on Aging (NDIRA) will support an emerging interdisciplinary community of scientists using novel collections of cross-sectional, longitudinal, and contextual data for research on population aging. NDIRA will bring established scholars of aging together with scholars new to the field and introduce them to data that are fundamental to understanding health outcomes at older ages. By fostering communication and collaboration, as well as providing hands-on assistance in data management and analysis, we will contribute to both the talent pool and the data resource pool for addressing the demography and economics of aging. Innovative NIA-supported data infrastructure projects are opening new opportunities for understanding trends and disparities in population aging, the impact of early life experiences on later life outcomes, and the effect of changing economic, familial, environmental, geographic, cultural, and institutional contexts on the older population. Many of these new data sources pose significant challenges for researchers because of their large scale, complex structure, or restricted access. NDIRA is designed to mitigate these challenges by fostering a community of scholars that will draw on novel data sources for research on aging. The Core will promote research that addresses key priorities of the NIA’s Division of Behavioral and Social Research. NDIRA will (1) build a broad community of researchers engaged in data-intensive research on aging; (2) identify and address common problems faced by those researchers; and (3) engage new users and increase the diversity of the research community.