Life Course Center External Innovative Network Core

项目概要/摘要：外部创新研究网络 老龄化数据密集型研究网络（NDIRA）将支持新兴的跨学科研究。 一个科学家社区，使用新颖的横截面、纵向和上下文数据集进行研究 关于人口老龄化。NDIRA将把成熟的老龄化学者与新进入该领域的学者聚集在一起， 向他们介绍了解老年人健康状况的基本数据。通过促进 沟通和协作，以及在数据管理和分析方面提供实际帮助， 我们将为人才库和数据资源库做出贡献，以解决人口统计问题， 老龄化经济学 创新的NIA支持的数据基础设施项目正在为以下方面提供新的机会： 了解人口老龄化的趋势和差异，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，文化和制度变化的影响 对老年人口的影响。这些新数据源中的许多对研究人员构成了重大挑战 因为它们的规模大、结构复杂或访问受限。NDIRA旨在缓解这些问题 通过培养一个学者社区，将利用新的数据源进行老龄化研究，这将带来挑战。的 核心将促进研究，解决行为和社会研究的NIA的司的关键优先事项。 NDIRA将（1）建立一个广泛的从事老龄化数据密集型研究的研究人员社区;（2）确定 并解决这些研究人员面临的共同问题;（3）吸引新用户并增加多样性 的研究社区。

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.