Prospective Microdata for Research on Aging

项目摘要/摘要 该项目将在#年创建一个涵盖美国全部人口的大规模微数据资源 1950年。1950年的人口普查是研究老龄化的理想选择：1950年的年轻人可能与无数人有关 消息来源描述了他们从成年中期到成年后期的健康和幸福感，从而对衰老有了一个前瞻性的看法。 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 地位、父母教育、当地环境和家庭结构--对日后健康和死亡率的影响。数据库 将以完整的地理细节覆盖整个人口，提供有关童年的上下文信息 社区特征、劳动力市场条件和环境条件。1950年的数据将使 旨在揭示早期生活条件对晚年健康和福祉影响的变革性研究， 包括认知障碍。该数据库将成为国家数据库的永久和实质性的补充 统计基础设施，并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83亿次击键的数据，描述人口和经济 1950年美国所有个人、家庭、家庭和团体住宅区的特征；(2) 通过随机、盲目核查和与已公布的人口普查表格进行比较来评估数据质量；(3) 将大约1000万份不限成员名额的不限成员名额普查答复转换为数字分类 与以前和以后的人口普查数据兼容；(4)数据清理，包括编辑和归类 不一致和缺失的数据值；(5)开发元数据和文档，包括完整描述 数据处理方法，对可比性问题的详细分析，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观数据系列(IPUMS)数据 向科学界免费传播的获取系统。 拟议的工作将由一支拥有无与伦比的专业知识和高技能的研究人员团队进行 具有大规模数据创建、集成和传播的经验。该项目是与 全国最大的家谱数据制作者。这种公私合作伙伴关系允许极具成本效益的使用 用于人口和卫生研究的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.