Big Data for Population Research

人口研究大数据

• 批准号: 8865394
• 负责人: CATHERINE A FITCH
• 金额: $ 62.54万
• 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 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8865394
• 关键词: American; Automatic Data Processing; Behavior; Behavioral Research; Big Data; 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）：该提案寻求资金来扩大综合的公共用途Micro-Data系列（IPUMS），通过添加人口统计和地理数据，描述了1790年至1930年的整个美国枚举人口。该项目将提供有关超过6亿人的特征，以超过6亿人的特征，以使美国Census Microce ofer Scientiic ofer Scientiic for U.S. Census Micro Scientiic for Micro Scientific verificic ofericixic visionicixic ofericic of。数据将涵盖整个人口的完整地理 细节，提供有关邻里特征的上下文信息，包括种族组成，人口统计行为和人口流动性。这些数据提供了有关关键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的过程提供宝贵的见解。这些数据将使国家的统计基础设施永久性地增加，并将对整个社会和行为科学的研究具有深远的影响。通过两个主要的家谱组织编制的美国人口普查，捐赠了大量高质量验证的信息转录，从而使该项目成为可能。将这种庞大的原始数据体现为适合科学分析的格式，将需要以下任务：（）对分类和代码地理位置进行分类与已发表的人口普查回报中使用的类别兼容； （2）评估数据转录的完整性和准确性； （3）将字母字符串数据转换为随着时间的时间比较的数字类别； （4）使用新的数据清洁软件来识别和纠正常见枚举和转录错误； （5）制定文档，包括对数据处理方法的完整描述，可比性问题的详细分析以及全面的机器处理元数据； （6）将数据纳入IPUMS数据访问系统中，以将数据自由传播给科学界； （7）实施安全的数据保护和保存政策。该项目将由一支高度经验的研究人员团队执行，其大规模数据创建，集成和传播的熟练程度具有卓越的水平，并将利用尖端技术以合理的成本处理前所未有的数据。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国的合作，从而可以使用稀缺资源来开发用于人口和健康研究的共同基础设施。