Prospective Microdata for Research on Aging

衰老研究的前瞻性微观数据

• 批准号: 10344989
• 负责人: CATHERINE A FITCH
• 金额: $ 135.92万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10344989
• 关键词: Address; Adult; Affect; Aging; Alzheimer' s Disease; American; Archives; Behavioral; Behavioral Sciences; Biological; Books; Cause of Death; Censuses; Cessation of life; Characteristics; Childhood; Classification; Collaborations; Communities; Data; Data Linkages; Data Set; Data Sources; Databases; Demography; Development; Discipline; Doctor of Philosophy; Documentation; Economics; Education; Elderly; Elements; Employment; Environment; Environmental Exposure; Family; Fertility; Funding; Genealogy; Geography; Goals; Health; Health Surveys; Health and Retirement Study; Household; Human Activities; Image; Impaired cognition; Income; Individual; Infrastructure; Institution; Investments; Journals; Life; Life Cycle Stages; Link; Longitudinal Studies; Machine Learning; Manuscripts; Medicare; Metadata; Methods; Microfilm; Mission; Neighborhoods; Outcome; Paper; Pattern; Personal Satisfaction; Persons; Population; Population Process; Private Sector; Public Policy; Publications; Publishing; Records; Research; Research Personnel; Research Project Grants; Resource Sharing; Resources; Running; Science; Series; Social Processes; Social Sciences; Socioeconomic Status; Sociology; Source; Street Address; System; Talents; Technology; Time; United States; United States National Institutes of Health; Work; base; blind; computerized data processing; cost; cost effective; data access; data cleaning; data quality; economic behavior; experience; family structure; functional status; health disparity; indexing; large scale data; migration; mortality; population based; population health; preservation; prospective; public-private partnership; response; social; social factors

Project Summary/Abstract This project will create a massive microdata resource comprising the entire population of the United States in 1950. The 1950 Census is ideal for research on aging: people who were young in 1950 can be linked to myriad sources describing their health and well-being from mid to later adulthood, allowing a prospective view of aging. By linking the 1950 Census to recent health surveys, administrative records, and the national death index, investigators can pursue prospective analyses of the impact of early life conditions—including socioeconomic status, parental education, local environment, and family structure—on later health and mortality. The database will cover the entire population with full geographic detail, providing contextual information on childhood neighborhood characteristics, labor-market conditions, and environmental conditions. The 1950 data will enable transformative research to uncover the effects of early life conditions on health and well-being in later life, including cognitive impairment. The database 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 involves (1) transcribing 8.3 billion keystrokes of data describing the demographic and economic characteristics of all individuals, families, households, and group quarters present in the U.S. in 1950; (2) evaluating data quality through random blind verification and comparison with published census tabulations; (3) converting approximately ten million different open-ended census responses into numeric classifications compatible with previous and subsequent census data; (4) data cleaning, including editing and imputation of inconsistent and missing data values; (5) developing metadata and documentation, including full descriptions of data processing methods, detailed analysis of comparability issues, and comprehensive machine-processable metadata; and (6) incorporating the database into the Integrated Public Use Microdata Series (IPUMS) data access systems for free dissemination to the scientific community. The proposed work will be carried out by a team of highly-skilled researchers with unparalleled expertise and experience in large-scale data creation, integration, and dissemination. The project is a collaboration with the nation’s largest producer of genealogical data. This public-private partnership allows a highly cost-effective use of scarce resources for shared infrastructure for population and health research.

项目概要/摘要 该项目将创建一个包含美国全部人口的庞大微观数据资源 1950 年。1950 年人口普查非常适合老龄化研究：1950 年年轻的人可以与无数 描述他们成年中期到后期的健康和福祉的来源，使人们能够对衰老有一个前瞻性的看法。 通过将 1950 年人口普查与最近的健康调查、行政记录和国家死亡指数联系起来， 研究人员可以对早期生活条件的影响进行前瞻性分析，包括社会经济条件 状况、父母教育、当地环境和家庭结构——对以后健康和死亡率的影响 数据库。 将覆盖整个人口并提供完整的地理细节，提供有关童年的背景信息 1950 年的数据将使社区特征、劳动力市场条件和环境条件成为可能。 变革性研究，揭示早期生活条件对晚年健康和福祉的影响， 该数据库将为国家带来永久性和实质性的补充。 统计基础设施，将对社会和行为领域的研究产生深远影响 科学。 该项目涉及 (1) 转录 83 亿次击键数据，描述人口和经济状况 1950 年美国所有个人、家庭、家庭和团体的特征 (2) 通过随机盲验证和与已发布的人口普查表格进行比较来评估数据质量 (3)； 将大约一千万个不同的开放式人口普查答复转换为数字分类 与之前和之后的人口普查数据兼容；（4）数据清理，包括编辑和插补 不一致和缺失的数据值；(5) 开发元数据和文档，包括完整的描述 数据处理方法，可比性问题的详细分析，以及全面的机器可处理 元数据；(6) 将数据库纳入综合公共使用微观数据系列 (IPUMS) 数据中 向科学界免费传播的访问系统。 拟议的工作将由一组高技能的研究人员进行，他们拥有无与伦比的专业知识和 该项目是与大规模数据创建、集成和传播方面的经验。 这种公私合作伙伴关系可以实现极具成本效益的使用。 人口和健康研究共享基础设施的稀缺资源。