Big Data for Population Research

人口研究大数据

• 批准号: 8610090
• 负责人: CATHERINE A FITCH
• 金额: $ 62.25万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-21 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8610090
• 关键词: American; Automatic Data Processing; Behavior; Behavioral Research; Biological Preservation; Categories; Censuses; Characteristics; Church; Classification; Code; Collaborations; Communities; Computer software; Data; Data Protection; Databases; Documentation; Economics; Education; Elements; Family; Fertility; Funding; Genetic Transcription; Geographic Locations; Health; Human Activities; Individual; Knowledge; Life Cycle Stages; Manuals; Medical Research; Metadata; Methods; Minnesota; Mission; Neighborhoods; Persons; Policies; Policy Making; Population; Population Dynamics; Population Research; Procedures; Process; Publishing; Records; Research; Research Infrastructure; Research Personnel; Resources; Running; Secure; Series; Social Mobility; Societies; System; Technology; Time; United States National Institutes of Health; Work; behavioral/social science; computerized data processing; cost; cost effective; experience; innovation; insight; intergenerational; migration; mortality; population health; public health relevance; racial and ethnic; segregation; social; spatiotemporal; tool; trend

DESCRIPTION (provided by applicant): This proposal seeks funding to expand the Integrated Public Use Micro-data Series (IPUMS) by adding demographic and geographic data describing the entire enumerated population of the U.S. from 1790 to 1930. The project will provide data on the characteristics of over 600 million persons, quadrupling the quantity of U.S. census micro-data available for scientific research. The data will cover entire populations with full geographic detail, providing contextual information on neighborhood characteristics, including ethnic composition, demographic behavior, and population mobility. These data offer the earliest information available on key social and economic characteristics, and they will provide invaluable insight into processes of long-run demographic and economic change. The data will make a permanent and substantial addition to the nation's statistical infrastructure and will have far-reaching implications for research across the social and behavioral sciences. The project is made possible by the donation of a massive high-quality verified transcription of information in the U.S. censuses, prepared by two major genealogical organizations. Converting this immense body of raw data into a format suitable for scientific analysis will require the following tasks: () classify and code geographic locations to be compatible with categories used in the published census returns; (2) assess completeness and accuracy of the data transcription; (3) convert alphabetic string data into numeric categories that are comparable over time; (4) employ new data cleaning software to identify and correct common enumeration and transcription errors; (5) develop documentation, including full descriptions of data processing methods, detailed analysis of comparability issues, and comprehensive machine-processable metadata; (6) incorporate the data into the IPUMS data access system for free dissemination to the scientific community; and (7) implement secure data protection and preservation policies. The project will be executed by a team of highly-experienced researchers with exceptional proficiency in large- scale data creation, integration, and dissemination and will leverage cutting-edge technology to process an unprecedented volume of data at reasonable cost. The project is a collaboration of the Minnesota Population Center with the world's largest producers of genealogical data, allowing cost-effective use of scarce resources to develop shared infrastructure for population and health research.

描述（由申请人提供）：该提案寻求资金，通过增加描述1790年至1930年美国全部人口的人口统计和地理数据，扩大综合公共使用微观数据系列（IPUMS）。该项目将提供6亿多人的特征数据，使美国可用于科学研究的人口普查微观数据数量翻了两番。这些数据将覆盖整个人口， 详细信息，提供有关社区特征的上下文信息，包括种族组成，人口统计行为和人口流动性。这些数据提供了关于主要社会和经济特征的最早信息，它们将为长期人口和经济变化过程提供宝贵的见解。这些数据将为国家的统计基础设施提供永久性和实质性的补充，并将对整个社会和行为科学的研究产生深远的影响。该项目是由两个主要的家谱组织在美国人口普查中捐赠的大量高质量的经验证的信息转录而成为可能。将这一庞大的原始数据转换成适合于科学分析的格式将需要进行以下工作：（）对地理位置进行分类和编码，使之与公布的普查报告中使用的类别相一致;（2）评估数据转录的完整性和准确性;（3）将字母串数据转换成可随时间进行比较的数字类别;（4）将数字转换成数字;（5）将数字转换成数字;（6）将数字转换成数字;（7）将数字转换成数字;（8）将数字转换成数字;（9）将数字转换成数字;（10）将数字转换成数字;（11）将数字转换成数字转换成数字;（11）将数字转换成数字转换成数字;（12）将数字转换成数字转换成数字;（13）将数字转换成数字转换成数字;（14）将数字转换成数字;（15）将数字转换成数字。（4）采用新的数据清理软件，以查明和纠正常见的点算和抄录错误;（5）编制文件，包括全面说明数据处理方法、详细分析可比性问题和全面的机器可处理元数据;（6）将数据纳入IPUMS数据访问系统，以便免费向科学界发布;以及（7）实施安全的数据保护和保存政策。该项目将由一个经验丰富的研究人员团队执行，他们在大规模数据创建，集成和传播方面具有卓越的能力，并将利用尖端技术以合理的成本处理前所未有的数据量。该项目是明尼苏达州人口中心与世界上最大的家谱数据生产商的合作，允许以具有成本效益的方式使用稀缺资源，为人口和健康研究开发共享基础设施。