Integrating, Preserving, and Disseminating Linked CPS Data

集成、保存和传播链接的 CPS 数据

• 批准号: 9102329
• 负责人: Sarah M Flood
• 金额: $ 55.5万
• 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 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9102329
• 关键词: American; Behavior; Behavioral Research; Biological Preservation; Censuses; Characteristics; Collaborations; Collection; Communities; Computer software; Data; Data Analyses; Data Files; Data Linkages; Data Quality; Data Set; Databases; Demography; Disclosure; Documentation; Economics; Educational workshop; Elements; Ensure; Family; Fertility; Foundations; Frequencies; Funding; Goals; Human; Investments; Knowledge; Link; Mechanics; Medical Research; Metadata; Minnesota; Mission; Nature; Nuptiality; Online Systems; Phase; Policies; Population; Population Dynamics; Population Growth; Preparation; Process; Public Health; Question Text; Recommendation; Records; Research; Research Design; Research Infrastructure; Research Personnel; Research Support; Resources; Running; Sample Size; Sampling; Schedule; Social Sciences; Societies; Source; Surveys; System; Testing; Time; Training; United States National Institutes of Health; Work; base; computerized data processing; cost; data access; data integration; data sharing; flexibility; food security; improved; innovation; interest; mortality; outreach; population health; population movement; population survey; public health relevance; social; statistics; symposium; tool; usability; American; Behavior; Behavioral Research; Biological Preservation; Censuses; Characteristics; Collaborations; Collection; Communities; Computer software; Data; Data Analyses; Data Files; Data Linkages; Data Quality; Data Set; Databases; Demography; Disclosure; Documentation; Economics; Educational workshop; Elements; Ensure; Family; Fertility; Foundations; Frequencies; Funding; Goals; Human; Investments; Knowledge; Link; Mechanics; Medical Research; Metadata; Minnesota; Mission; Nature; Nuptiality; Online Systems; Phase; Policies; Population; Population Dynamics; Population Growth; Preparation; Process; Public Health; Question Text; Recommendation; Records; Research; Research Design; Research Infrastructure; Research Personnel; Research Support; Resources; Running; Sample Size; Sampling; Schedule; Social Sciences; Societies; Source; Surveys; System; Testing; Time; Training; United States National Institutes of Health; Work; base; computerized data processing; cost; data access; data integration; data sharing; flexibility; food security; improved; innovation; interest; mortality; outreach; population health; population movement; population survey; public health relevance; social; statistics; symposium; tool; usability

 DESCRIPTION (provided by applicant): This proposal seeks continuation funding to enhance and expand IPUMS-CPS, featuring integrated data, dissemination software, and associated metadata that dramatically simplifies longitudinal analyses of Current Population Survey (CPS) data, eliminating redundant research effort and opening new opportunities for discovery. IPUMS-CPS freely disseminates data through an innovative user interface that provides powerful tools for search, discovery, research design, and data access. The proposed project will provide researchers with flexible access to integrated and well-documented longitudinal data across six decades of CPS surveys, including all basic monthly surveys from 1976 through 2020, Annual Social and Economic Supplement (ASEC) files from 1962 through 2020, and all other surviving topical supplements from 1967 through 2020. IPUMS- CPS serves 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 six specific tasks: (1) Clean, verify, and de-identify recovered CPS files from the 1960s, 1970s, and 1980s in preparation for disclosure review and integrate them into the public- use IPUMS collection; (2) Expand the database by integrating data from nearly 78 new files that will be released between 2015 and 2020, including all CPS monthly and supplement data as well as data we recover in collaboration with the Census Bureau; (3) Collaborate with the Census Bureau to add IPUMS-CPS linking keys to restricted CPS files for use in the Census Bureau's Research Data Center network; (4) Develop additional new keys for linking CPS observations over time, systematically compare the linkages resulting from different approaches, and provide users with documentation about the keys and differences between them; (5) Create new tools for data access and data processing; (6) Provide user support and perform outreach at conferences, expand online data analysis capabilities, host in-depth training workshops, and implement a new plan for long-run preservation of the microdata and metadata. The proposed work will be carried out by a team of highly-skilled researchers with unparalleled expertise in data integration, record linkage, and the CPS. Collaborators include leading researchers from the Minnesota Population Center, the U.S. Census Bureau, the Bureau of Labor Statistics, the Unicon Research Corporation, and NORC. The project will employ cutting-edge software innovations, extensive usability testing, and established metadata standards.

 描述（由适用提供）：该提案寻求延续资金来增强和扩展IPUMS-CPS，其中包含集成数据，传播软件和相关的元数据，这些元数据大大简化了当前人口调查（CPS）数据的纵向分析，从而消除了冗余的研究工作和开放新的发现机会。 IPUMS-CPS通过创新的用户界面免费传播数据，该界面为搜索，发现，研究设计和数据访问提供了强大的工具。拟议的项目将为研究人员提供灵活的访问，可以在六十年的CPS调查中访问综合且有据可查的纵向数据，包括1976年至2020年的所有基本月度调查，1962年的年度社会和经济补充（ASEC），从1962年到2020年，以及1967年至2020年的所有其他生存的补充。链接文件和协调变量），消除常见的技术错误（例如，在方差估计中），使发现更易于复制，并鼓励和支持许多研究领域中复杂而强大的新纵向分析。为了实现这些目标，我们提出了六个特定任务：（1）从1960年代，1970年代和1980年代清洁，验证和去识别已恢复的CPS文件，以准备披露审查并将其整合到公共使用IPUMS Collection中； （2）通过整合将在2015年至2020年之间发布的近78个新文件的数据来扩展数据库，包括所有CPS每月和补充数据以及我们与人口普查局合作恢复的数据； （3）与人口普查局合作，将链接键添加到限制的CPS文件中，以在人口普查局的研究数据中心网络中使用； （4）开发其他新密钥，以随着时间的推移链接CPS观察，系统地比较了不同方法引起的链接，并为用户提供有关密钥和它们之间差异的文档； （5）创建用于数据访问和数据处理的新工具； （6）提供用户支持并在会议上进行外展，扩展在线数据分析功能，主持人深入培训研讨会，并实施一项新计划，以准备Microdata和Metadata。拟议的工作将由一支高技能的研究人员团队进行，在数据集成，记录链接和CPS方面具有无与伦比的专业知识。合作者包括明尼苏达人口中心，美国人口普查局，劳工统计局，Unicon Research Corporation和NORC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。