IPUMS Redesign

IPUMS重新设计

• 批准号: 8806566
• 负责人: Steve Ruggles
• 金额: $ 57.21万
• 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 2016-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8806566
• 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; 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）：一系列兼容的大型微数据样本和人口普查和调查数据，该样本涉及从1850年到现在的期间。 IPUMS通过最大程度地减少冗余努力，简化数据访问，提高研究的可复制性并提高数据可靠性来降低人口和健康研究社区的成本。大型集成微型数据的可用性为变革过程的细粒度上下文分析开辟了非凡的新机会，从而导致了各种主题和学科的变革性研究。在过去的五年中，使用数据库的研究人员数量，他们要求的数据量以及他们生成的高影响力出版物的数量，IPUM的研究人员数量爆炸性增长。然而，与此同时，研究人员对基础设施的扩展，改进和支持有前所未有的需求。该项目将开展四个主要活动以满足这一需求：1。数据库扩展。 IPUM支持的美国数据数量将在未来五年内翻一番，其中包括775个协调数据集，描述了约5亿人的特征。 2。数据和元数据改进。该项目将开展一系列活动，以改善文档并使其更容易访问，正确的数据错误，为空间分析提供创新的工具，并开发描述家庭和职业的新的集成变量。 3。数据基础架构和访问。支持IPUMS数据收集的基础基础架构将使用列店数据结构，一种简化元数据创建和维护的新型工具集重新设计，以及简化数据操纵并减少研究人员冗余努力的新工具。 4。传播和可持续性。 IPUMS REDESIGN将继续提供用户支持，培训和外展活动，还将实施新的策略来利用IPUMS用户社区的专业知识，以促进协作和科学发现。为了确保数十年的保存，该项目将制定并实施新的保存计划。该基础设施是健康研究和政策分析的基本资源。过去的模型和描述是过去社会变革的理论和未来的预测理论。因此，数据系列为研究健康和人口过程提供了独特的实验室，并为开发和测试社会和经济模型提供了经验基础。