IPUMS Redesign

说明(申请人提供)：从1850年至今的人口普查和调查数据的一系列兼容的大型微型数据样本。IPUMS通过最大限度地减少重复工作、简化数据访问、增加研究的可复制性以及提高数据可靠性，降低了人口和健康研究社区的成本。大规模综合微观数据的可获得性为变化过程的细粒度背景分析提供了新的非同寻常的机会，从而产生了跨越各种主题和学科的变革性研究。在过去五年中，IPUMS使用数据库的研究人员数量、他们要求的数据量以及他们出版的影响很大的出版物的数量都出现了爆炸性增长。然而，与此同时，研究人员对基础设施的扩展、改善和支持提出了前所未有的需求。为满足这一需求，本项目将开展四项主要活动：1.数据库扩容。未来五年，IPUMS支持的美国数据量将翻一番，包括描述约5亿人特征的775个协调数据集。2.数据和元数据改进。该项目将开展一系列活动，以改进文件并使其更容易获得，纠正数据错误，提供空间分析的创新工具，并开发描述家庭和职业的新的综合变量。3.数据基础设施和接入。将使用列存储数据结构、简化元数据创建和维护的新工具集以及简化数据操作和减少研究人员多余工作的新工具，重新设计支持IPUMS数据收集的基础基础设施。4.传播和可持续性。IPUMS重新设计将继续提供用户支持、培训和外联，并将实施新的战略，利用IPUMS用户群体的专门知识促进合作和科学发现。为了确保几十年的保护，该项目将制定和实施新的保护计划。这一基础设施是卫生研究和政策分析的基本资源。过去的模型和描述既是过去社会变革的理论基础，也是对未来的预测。因此，数据系列为研究健康和人口过程提供了一个独特的实验室，并为我们开发和测试社会和经济模型提供了所需的经验基础。

DESCRIPTION (provided by applicant): A compatible series of large microdata samples of census and survey data spanning the period from 1850 to the present. IPUMS reduces costs for the population and health research community by minimizing redundant effort, simplifying data access, increasing the replicability of studies, and improving data reliability. The availability o large-scale integrated microdata has opened extraordinary new opportunities for fine-grained contextual analyses of processes of change, resulting in transformational research across a diverse range of topics and disciplines. Over the past five years, IPUMS has seen explosive growth in the number of researchers using the database, the amount of data they request, and the number of high-impact publications they produce. At the same time, however, there is unprecedented demand from researchers for expansion, improvement, and support of the infrastructure. This project will undertake four major activities to meet this demand: 1. Database expansion. The quantity of U.S. data supported by IPUMS will double over the coming five years to include 775 harmonized datasets describing the characteristics of approximately 500 million persons. 2. Data and metadata improvement. The project will undertake a series of activities to improve documentation and make it more accessible, correct data errors, provide innovative tools for spatial analysis, and develop new integrated variables describing families and occupations. 3. Data infrastructure and access. The underlying infrastructure supporting the IPUMS data collection will be redesigned using column-store data structures, a novel toolset to simplify metadata creation and maintenance, and new tools to simplify data manipulation and reduce redundant effort by researchers. 4. Dissemination and sustainability. IPUMS Redesign will continue to provide user support, training, and outreach, and will also implement new strategies to harness the expertise of the IPUMS user community to promote collaboration and scientific discovery. To ensure preservation over multiple decades, the project will develop and implement a new preservation plan. This infrastructure is a basic resource for health research and policy analysis. Models and descriptions of the past underlie both theories of past social change and projections into the future. Accordingly, the data series provides a unique laboratory for the study of health and demographic processes, and provides the empirical foundation we need for developing and testing social and economic models.