Microdata for Analysis of Early Life Conditions, Health, and Population

项目摘要 该项目将加强和发展提供工作核心信息的唯一数据来源， 所有美国人口的教育、收入和移民。这一独特的资源使我们能够观察 今天的老年人口在他们年轻的时候。这使得对早期生命的影响有了一个前瞻性的看法 环境和社会经济地位对晚年健康和幸福的影响。 这个庞大的数据库描述了所有1.33亿居住在美国的人的特征 1940年。这些数据只有很短的一段时间，但已经对 科学研究。它们是至少19个赞助项目的主要数据来源，其中包括9个资助项目 由美国国立卫生研究院资助，7个由国家科学基金会资助。截至2017年5月，104名调查人员根据 资料，包括22篇文章、4本书、3篇博士学位论文和66篇工作论文。 该项目将通过纠正抄写错误来提高数据库的质量和可用性；改进 关键变量的编码、编辑和分配；以及引入新的数据传播工具 简化对数据的访问。该项目将开展三项主要活动，以实现这些目标。 1.纳入新核实的人口普查信息，包括姓名、年龄、性别、家庭关系、种族、婚姻状况、 五年前的出生地和居住地。 2.改进地理变量、移民、职业和数字的编码、编辑和分配- 编码变量，如收入。 3.应用新技术，通过新的数据访问工具和虚拟数据使数据访问大众化 Enclave用于包含名称的数据的受限版本。 该项目以极高的成本效益利用稀缺资源来开发共享的研究基础设施， 教育，以及关于健康和老龄化的政策制定。拟议的数据质量改进是紧迫的，并将 为理解公共政策、社会机构、 和环境条件对人的健康、福祉和功能的影响，无论是在生命过程中还是在 在他们的晚年。

Project Summary This project will enhance and develop the only source of data that provides core information about work, education, income, and migration for the entire U.S. population. This unique resource allows us to observe today's late-life population when they were young. This allows a prospective view of the impact of early-life environments and socioeconomic status on health and well-being in later life. The massive database describes the characteristics of all 133 million persons who resided in the United States in 1940. The data have been available for only a brief period, but are already having a profound impact on scientific research. They are the primary data source for at least 19 sponsored projects, including nine funded by NIH and seven funded by NSF. Through May 2017, 104 investigators had produced 95 papers based on the data, including 22 articles, four books, three PhD dissertations, and 66 working papers. This project will improve the quality and usability of the database by correcting transcription errors; improving the coding, editing, and allocation of key variables; and introducing new data dissemination tools designed to simplify access to the data. The project will undertake three major activities to meet these objectives. 1. Incorporate new verified census information on name, age, sex, family relationship, race, marital status, birthplace, and residence five years ago. 2. Improve coding, editing, and allocation for geographic variables, migration, occupation, and numerically- coded variables such as income. 3. Apply new technologies to democratize access to the data through new data access tools and a virtual data enclave for a restricted version of the data that contains names. This project is a highly cost-effective use of scarce resources to develop shared infrastructure for research, education, and policy-making on health and aging. The proposed improvement of data quality is urgent, and will provide a resource of unprecedented power for understanding the effects of public policies, social institutions, and environmental conditions on the health, well-being, and functioning of people, both over the life course and in their later years.