Prospective Microdata for Research on Aging

项目总结/摘要 该项目将创建一个庞大的微观数据资源，包括美国的整个人口， 1950. 1950年的人口普查是研究老龄化的理想选择：1950年的年轻人可以与无数的 资料来源描述他们的健康和福祉从中期到后期的成年，使老龄化的前瞻性观点。 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， 地位、父母教育、当地环境、家庭结构对日后健康与死亡的影响。数据库 将覆盖整个人口，提供完整的地理细节，提供儿童的背景信息 邻里特征，劳动力市场条件和环境条件。1950年的数据将使 变革性的研究，以揭示早期生活条件对晚年健康和福祉的影响， 包括认知障碍该数据库将为国家的 统计基础设施，并将对整个社会和行为的研究产生深远的影响 以理工科为重 该项目涉及（1）转录83亿克朗的数据，描述人口和经济状况， 1950年美国所有个人、家庭、住户和团体宿舍的特征;（2） 通过随机盲检和与公布的普查表格比较，评价数据质量;（3） 将大约1000万份不同的开放式人口普查答复转换为数字分类 与以前和以后的普查数据兼容;（4）数据清理，包括编辑和估算 不一致和缺失的数据值;（5）编制元数据和文件，包括对 数据处理方法，详细分析可比性问题，以及全面的机器可处理 元数据;以及（6）将数据库纳入综合公共使用微数据系列数据 免费向科学界传播的接入系统。 拟议的工作将由一个具有无与伦比的专业知识和高技能的研究人员团队进行， 在大规模数据创建、集成和传播方面的经验。该项目是一个合作与 全国最大的家谱数据生产商。这种公私合作伙伴关系可以实现高成本效益的使用 人口和健康研究共享基础设施的稀缺资源。

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.