IPUMS Redesign

IPUMS重新设计

• 批准号: 8435914
• 负责人: Steve Ruggles
• 金额: $ 59.92万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-27 至 2018-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8435914
• 关键词: Address; Affect; American; Area; Behavior; Behavioral Research; Behavioral Sciences; Biological Preservation; Categories; Censuses; Cereals; Characteristics; Classification; Collaborations; Communities; Community Surveys; Computer software; Data; Data Collection; Data Set; Data Sources; Databases; Demography; Discipline; Documentation; Economic Models; Economics; Education and Outreach; Elements; Ensure; Family; Fertility; Foundations; Funding; Future; Geography; Growth; Health; Health Resources; Industry; Investments; Knowledge; Laboratory Study; Maintenance; Medical Research; Metadata; Mission; Modeling; National Institute of Child Health and Human Development; Nature; Nuptiality; Occupations; Persons; Policy Analysis; Population; Population Growth; Population Research; Process; Publications; Records; Research; Research Infrastructure; Research Personnel; Sampling; Series; Social Change; Source; Speed; Structure; Surveys; System; Testing; Time; Training; United States National Institutes of Health; base; cost; data structure; design; falls; human population dynamics; improved; innovation; meetings; mortality; new technology; novel; population health; population movement; population survey; programs; public health relevance; social; social model; theories; tool

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.

描述（由申请人提供）：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观数据样本。 IPUMS 通过最大限度地减少冗余工作、简化数据访问、提高研究的可重复性和提高数据可靠性，降低了人口和健康研究界的成本。大规模集成微观数据的可用性为对变化过程进行细粒度的背景分析提供了非凡的新机会，从而导致跨不同主题和学科的变革性研究。在过去的五年里，IPUMS 看到使用该数据库的研究人员数量、他们请求的数据量以及他们产生的高影响力出版物的数量呈爆炸式增长。但与此同时，研究人员对基础设施的扩展、改进和支持提出了前所未有的需求。该项目将开展四项主要活动来满足这一需求： 1. 数据库扩展。 IPUMS 支持的美国数据量将在未来五年内增加一倍，包括描述约 5 亿人特征的 775 个统一数据集。 2. 数据和元数据改进。该项目将开展一系列活动，以改进记录并使其更容易获取，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综合变量。 3. 数据基础设施和访问。支持 IPUMS 数据收集的底层基础设施将使用列存储数据结构、简化元数据创建和维护的新颖工具集以及简化数据操作和减少研究人员冗余工作的新工具进行重新设计。 4.传播和可持续性。 IPUMS Redesign 将继续提供用户支持、培训和推广，还将实施新战略，利用 IPUMS 用户社区的专业知识来促进合作和科学发现。为了确保数十年的保护，该项目将制定并实施新的保护计划。该基础设施是卫生研究和政策分析的基本资源。对过去的模型和描述是过去社会变革理论和未来预测的基础。因此，该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。