Integrating, Linking, and Disseminating CPS Data, 1962 to 2013

整合、链接和传播 CPS 数据，1962 年至 2013 年

• 批准号: 8692971
• 负责人: Sarah M Flood
• 金额: $ 59.29万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-18 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8692971
• 关键词: American; Behavior; Behavioral Research; Censuses; Complex; Computer software; Cross-Sectional Studies; Data; Data Analyses; Data Sources; Documentation; Economics; Family; Foundations; Geographic Locations; Goals; Health; Housing; Interview; Investigation; Knowledge; Link; Maryland; Medical; Medical Research; Metadata; Minnesota; Mission; Nature; Online Systems; Persons; Population; Public Health; Records; Research; Research Design; Research Infrastructure; Research Personnel; Resources; Risk; Running; Sample Size; Sampling; Series; Social Sciences; Societies; Stratification; Structure; Surveys; Testing; Time; United States National Institutes of Health; Universities; Weight; Work; data integration; design; experience; flexibility; human population dynamics; improved; innovation; longitudinal analysis; longitudinal design; population health; population survey; response; social; software development; tool; usability; user-friendly

DESCRIPTION (provided by applicant): Despite the longitudinal design of the Current Population Survey (CPS), researchers have almost exclusively analyzed these data as though they were collected through a series of cross-sectional surveys. We propose to develop integrated data, dissemination software, and associated metadata that will make longitudinal analyses of CPS data radically easier. We will freely disseminate the data through an innovative user interface that will dramatically simplify and improve search, discovery, research design, and data access. We will provide researchers with flexible access to integrated and well-documented longitudinal data across all CPS surveys, including all surviving basic monthly surveys and all topical supplements. The project will serve the scientific enterprise by reducing wasteful duplication of effort (e.g., in linking files and harmonizing variables), eliminating common technical errors (e.g., in variance estimation), making findings easier to replicate, and encouraging and facilitating sophisticated and powerful new longitudinal analyses in many research domains. To accomplish these goals, we propose 7 specific tasks: (1) Develop user-friendly web-based longitudinal data access tools to enable researchers to capitalize on the longitudinal information embedded in CPS data from 1962 to 2014; (2) Create search and discovery tools to allow researchers to locate variables across supplements and design longitudinal analyses; (3) Construct appropriate weights for longitudinal analysis and create appropriate stratification and clustering variables to support reliable variance estimation ; (4) Make all CPS supplements compatible with the Integrated Public Use Microdata Series (IPUMS) by adding new IPUMS- compatible variables; (5) Clean all CPS files, correcting all known errors and providing new variables that consistently and reliably identify subfamilies in all samples; (6) Compile consistently-structured metadata for all CPS data (including comprehensive machine-understandable documentation of every CPS data product as well as data integration metadata); and (7) Work with the Census Bureau to identify, recover, preserve, and disseminate older CPS data and variables currently at risk of destruction. The proposed work will be carried out by a team of highly-skilled researchers with unparalleled expertise and experience in data integration, record linkage, and the Current Population Survey. Collaborators include leading researchers from the University of Minnesota, the U.S. Census Bureau, Unicon Corporation, the National Opinion Research Center, and the University of Maryland's Survey Research Center. The project will employ cutting-edge software innovations, extensive usability testing, and established metadata standards. Data integration and software development will take place in the Minnesota Population Center, the leading developer of large-scale data resources for demographic and health research.

描述(由申请人提供)：尽管目前的人口调查(CPS)是纵向设计的，但研究人员几乎只分析这些数据，就好像它们是通过一系列横断面调查收集的一样。我们建议开发综合数据、传播软件和相关元数据，使CPS数据的纵向分析从根本上变得更容易。我们将通过创新的用户界面自由传播数据，这将极大地简化和改进搜索、发现、研究设计和数据访问。我们将为研究人员提供灵活访问所有CPS调查的综合和有良好记录的纵向数据，包括所有幸存的基本月度调查和所有专题补充资料。该项目将通过以下方式为科学事业服务：减少浪费性的重复劳动(例如，在连接文件和协调变量方面)，消除常见的技术错误(例如，在方差估计方面)，使研究结果更容易复制，并鼓励和促进许多研究领域复杂和强大的新的纵向分析。为了实现这些目标，我们提出了7项具体任务：(1)开发用户友好的基于网络的纵向数据访问工具，使研究人员能够利用1962-2014年间CPS数据中嵌入的纵向信息；(2)创建搜索和发现工具，使研究人员能够在补充资料中定位变量并设计纵向分析；(3)为纵向分析构建适当的权重，并创建适当的分层和聚类变量，以支持可靠的方差估计；(4)通过增加新的与综合公共使用微数据系列(IPUMS)兼容的变量，使所有CPS补充资料与IPUMS兼容；(5)清理所有CPS文件，纠正所有已知错误，并提供新的变量，以一致和可靠地识别所有样本中的子族；(6)为所有CPS数据汇编一致结构的元数据(包括每个CPS数据产品的全面机器可理解的文档以及数据集成元数据)；以及(7)与人口普查局合作，识别、恢复、保存和传播目前面临销毁风险的较旧的CPS数据和变量。拟议的工作将由一组高技能的研究人员进行，他们在数据整合、记录链接和当前人口调查方面拥有无与伦比的专业知识和经验。合作者包括来自明尼苏达大学、美国人口普查局、UNICON公司、国家民意研究中心和马里兰大学调查研究中心的主要研究人员。该项目将采用尖端软件创新、广泛的可用性测试和建立的元数据标准。数据整合和软件开发将在明尼苏达州人口中心进行，该中心是人口和健康研究大型数据资源的领先开发商。