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: 9903193
• 负责人: CATHERINE A FITCH
• 金额: $ 66.21万
• 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/9903193
• 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 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; data dissemination; data enclave; data quality; 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.

项目概要 该项目将增强和开发提供有关工作的核心信息的唯一数据源， 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 今天的晚年人口年轻时。这使得人们能够对早期生活的影响有一个前瞻性的看法 环境和社会经济地位对晚年健康和福祉的影响。 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。这些数据只出现了很短一段时间，但已经对 科学研究。它们是至少 19 个赞助项目的主要数据源，其中包括 9 个资助项目 由 NIH 资助，其中 7 个由 NSF 资助。截至 2017 年 5 月，104 名研究人员根据该研究发表了 95 篇论文 数据，包括 22 篇文章、四本书、三篇博士论文和 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；改善 关键变量的编码、编辑和分配；并引入新的数据传播工具，旨在 简化对数据的访问。该项目将开展三项主要活动来实现这些目标。 1.纳入新的经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、 出生地、五年前居住地。 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，通过新的数据访问工具和虚拟数据实现数据访问民主化 enclave 用于包含名称的数据的受限版本。 该项目是对稀缺资源的高度成本效益的利用，以开发共享的研究基础设施， 健康和老龄化方面的教育和政策制定。拟议的数据质量改进刻不容缓，并将 为理解公共政策、社会机构、 以及环境条件对人的健康、福祉和功能的影响，无论是在生命历程还是 在他们的晚年。