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）：尽管当前人口调查（CPS）进行了纵向设计，但研究人员几乎完全分析了这些数据，就好像它们是通过一系列横截面调查收集的一样。我们建议开发集成的数据，传播软件和相关的元数据，这些元数据将使CPS数据从根本上更容易进行纵向分析。我们将通过创新的用户界面自由传播数据，该界面将大大简化和改善搜索，发现，研究设计和数据访问。我们将为研究人员提供灵活的访问所有CPS调查的综合且有据可查的纵向数据，包括所有尚存的基本每月调查和所有局部补充。该项目将通过减少浪费的努力重复（例如，在链接文件和协调变量），消除常见的技术错误（例如，在方差估算中）来为科学企业提供服务，从而在许多研究领域中更易于复制，使发现更易于复制，鼓励和面对精致和强大的新纵向分析。为了实现这些目标，我们提出了7个特定任务：（1）开发基于用户友好的纵向数据访问工具，以使研究人员能够利用1962年至2014年CPS数据中嵌入的纵向信息； （2）创建搜索和发现工具，以使研究人员能够在补充剂中找到变量并设计纵向分析； （3）构建适当的权重以进行纵向分析，并创建适当的分层和聚类变量以支持可靠的方差估计； （4）通过添加新的iPums-兼容变量，使所有CPS补充剂与集成的公共使用Microdata系列（IPUM）兼容； （5）清洁所有CPS文件，纠正所有已知错误，并提供新的变量，这些变量始终可靠地识别所有样本中的亚家族； （6）为所有CPS数据编辑一致结构的元数据（包括每个CPS数据产品的全面可理解的文档以及数据集成元数据）； （7）与人口普查局合作以识别，恢复，保存和传播目前面临破坏风险的旧CPS数据和变量。拟议的工作将由一支高技能的研究人员团队进行，具有无与伦比的专业知识和数据集成，记录联系和当前人口调查的经验。合作者包括明尼苏达大学，美国人口普查局，Unicon Corporation，国家舆论研究中心和马里兰大学调查研究中心的主要研究人员。该项目将采用尖端的软件创新，广泛的可用性测试以及已建立的元数据标准。数据集成和软件开发将在明尼苏达州人口中心（用于人口统计和健康研究的大规模数据资源的领先开发商）中进行。