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

用于分析早期生活状况、健康和人口的微观数据

• 批准号: 9750600
• 负责人: CATHERINE A FITCH
• 金额: $ 65万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9750600
• 关键词: Age; Aging; Alzheimer' s Disease; American; Arbitration; Books; Censuses; Characteristics; Church of Jesus Christ of Latter-day Saints; Code; County; Data; Data Quality; Data Sources; Databases; Demography; Doctor of Philosophy; Economics; Education; Elderly; Ensure; Environment; Family Relationship; Funding; Future; Genealogy; Genetic Transcription; Geography; Handwriting; Health; Income; Institution; Investments; Journals; Life; Life Cycle Stages; Link; Machine Learning; Marital Status; Methods; Mission; Names; Occupational; Occupations; Outcome; Paper; Personal Satisfaction; Persons; Policy Making; Population; Population Process; Privatization; Process; Public Policy; Publications; Race; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Science; Social Processes; Socioeconomic Status; Sociology; Source; Techniques; Technology; Time; United States; United States National Institutes of Health; Work; arm; base; blind; cost; cost effective; data access; design; experimental study; improved; migration; new technology; prospective; residence; sex; social; tool; usability; virtual

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.

项目摘要 该项目将增强和开发唯一提供有关工作核心信息的数据来源， 整个美国人口的教育，收入和移民。这种独特的资源使我们能够观察 今天的后期人口年轻。这允许对早期影响的前瞻性观点 以后的生活和福祉的环境和社会经济地位。 大量数据库描述了居住在美国的所有1.33亿人的特征 在1940年。数据仅在短时间内可用，但已经对 科学研究。它们是至少19个赞助项目的主要数据源，包括9个资助 由NIH和NSF资助的七个。到2017年5月，104位调查人员根据 数据，包括22篇文章，四本书，三个博士学位论文和66篇工作论文。 该项目将通过纠正转录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；并引入旨在的新数据传播工具 简化访问数据。该项目将开展三项主要活动以实现这些目标。 1。包含有关名称，年龄，性别，家庭关系，种族，婚姻状况的新验证的人口普查信息 出生地和五年前的住所。 2。改进地理变量，迁移，职业和数值的编码，编辑和分配 编码变量，例如收入。 3.应用新技术通过新数据访问工具和虚拟数据民主化访问数据 用于包含名称的数据的限制版本。 该项目是对稀缺资源的高度成本效益，用于开发共享的研究基础架构， 教育以及健康与衰老的政策制定。拟议的数据质量的改进是紧急的，将会 提供前所未有的权力资源，以理解公共政策，社会机构， 以及人们在生活过程中的健康，福祉和功能的环境条件以及 在他们的晚年。