Baseline Socioeconomic Microdata for Population and Health Research
人口与健康研究的基线社会经济微观数据
基本信息
- 批准号:8529588
- 负责人:
- 金额:$ 56.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-15 至 2017-04-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAmericanArchivesAreaBehavioral ResearchBiological PreservationCause of DeathCensusesCessation of lifeCharacteristicsChildhoodClassificationCollaborationsCommunitiesDataData ProtectionData QualityData SourcesDatabasesDevelopmentDictionaryDocumentationEconomicsEducationElementsEmploymentEmployment StatusEvaluationFarming environmentFundingGenetic TranscriptionHealthHome environmentHourHousingHuman ActivitiesIncomeIndividualInstitutionInvestmentsKnowledgeLifeLife Cycle StagesLinkMarketingMedical ResearchMetadataMethodsMinnesotaMissionNamesNeighborhoodsOutcomeOwnershipPatternPersonal SatisfactionPersonsPoliciesPolicy MakingPopulationPopulation DynamicsPopulation ResearchPrivate SectorPublishingRecordsResearchResearch InfrastructureResearch PersonnelResourcesRoleRunningSchoolsSecureSeriesSocietiesSocioeconomic StatusStreet AddressSurveysSystemTimeUnited StatesUnited States National Institutes of HealthWagesWorkbehavioral/social scienceblindcomputerized data processingcost effectiveeconomic behaviorexperienceindexinginnovationmortalitypopulation healthresidencesocialsocioeconomicsspatiotemporal
项目摘要
DESCRIPTION (provided by applicant): This application seeks funding to create a complete set of microdata describing socioeconomic characteristics of the U.S. population in 1940. The project will digitize critical information on income, education, housing, and employment, greatly increasing the usefulness of the 1940 census for answering fundamental scientific questions about health and demographic change. The 1940 census was the first to collect information on years of schooling completed, wage and salary income, hours worked last week, and weeks worked last year. Data on parental income and education are essential for assessing childhood socioeconomic status. Accordingly, these indicators will be invaluable for assessing the role of early life conditions on health outcomes. Because the database will cover the entire population with full geographic detail, it will provide contextual information on childhood neighborhood characteristics, including labor-market conditions. More broadly, because these data offer the earliest information available on key social and economic characteristics, they will provide an important baseline for studies of demographic and economic change. The socioeconomic variables 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) transcription of over one billion keystrokes of data describing socioeconomic characteristics of all individuals present in the United States in 1940; (2) evaluation of data quality through random blind verification and comparison with published census returns; (3) data cleaning, including editing and imputation of inconsistent and missing data values; (4) development of a data dictionary to convert approximately 80,000 different open-ended descriptions of institutions into numeric classifications compatible with previous and subsequent census data; (5) development of documentation, including full descriptions of data processing methods, detailed analysis of comparability issues, and comprehensive machine-processable metadata; (6) incorporation of the additional variables into the Integrated Public Use Microdata Series (IPUMS) data access system for free dissemination to the scientific community; and (7) implementation of secure data protection and preservation policies. The project will be executed by a team of highly-experienced researchers with exceptional proficiency in large- scale data creation, integration, and dissemination. The project is a collaboration of the Minnesota Population Center with the nation's largest producer of genealogical data, the Census Bureau, and the National Archives and Records Administration. This collaboration allows a cost-effective use of scarce resources to develop shared infrastructure for population and health research.
描述(由申请人提供):本申请寻求资金来创建一套完整的描述1940年美国人口社会经济特征的微数据。该项目将对收入、教育、住房和就业等关键信息进行数字化处理,大大提高1940年人口普查在回答有关健康和人口变化的基本科学问题方面的有用性。1940年的人口普查首次收集了有关完成学业的年数、工资和薪金收入、上周工作时间和去年工作时间的信息。父母收入和教育的数据对于评估儿童的社会经济地位至关重要。因此,这些指标对于评估早期生活条件对健康结果的作用将是非常宝贵的。由于该数据库将以完整的地理细节覆盖整个人口,因此它将提供有关儿童时期社区特征的背景信息,包括劳动力市场状况。更广泛地说,由于这些数据提供了关于关键社会和经济特征的最早资料,它们将为研究人口和经济变化提供一个重要的基线。社会经济变量将对国家的统计基础设施作出永久和实质性的补充,并将对整个社会和行为科学的研究产生深远的影响。该项目涉及(1)转录超过10亿次的数据,这些数据描述了1940年美国所有个人的社会经济特征;(2)通过随机盲验证和与已公布的人口普查结果的比较来评估数据质量;(3)数据清洗,包括对不一致和缺失的数据值进行编辑和代入;(4)发展数据字典,将约80,000种不同的机构的开放式描述转换为与过去和以后的普查数据兼容的数字分类;(5)开发文档,包括对数据处理方法的完整描述,对可比性问题的详细分析,以及全面的机器可处理元数据;(6)将附加变量纳入综合公共使用微数据系列(IPUMS)数据访问系统,以便向科学界免费传播;(7)实施安全的数据保护和保存策略。该项目将由一组经验丰富的研究人员执行,他们对大规模数据的创建、集成和传播非常精通。该项目是明尼苏达人口中心与美国最大的家谱数据生产商、人口普查局和国家档案和记录管理局合作开展的。这种合作能够以具有成本效益的方式利用稀缺资源,为人口和卫生研究开发共享基础设施。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Steve Ruggles其他文献
Steve Ruggles的其他文献
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{{ truncateString('Steve Ruggles', 18)}}的其他基金
A Multigenerational Longitudinal Panel for Aging Research
衰老研究的多代纵向小组
- 批准号:
9769604 - 财政年份:2018
- 资助金额:
$ 56.64万 - 项目类别:
A Multigenerational Longitudinal Panel for Aging Research
衰老研究的多代纵向小组
- 批准号:
10409569 - 财政年份:2018
- 资助金额:
$ 56.64万 - 项目类别:
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:
8271755 - 财政年份:2012
- 资助金额:
$ 56.64万 - 项目类别:
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:
8657980 - 财政年份:2012
- 资助金额:
$ 56.64万 - 项目类别:
Baseline Socioeconomic Microdata for Population and Health Research
人口与健康研究的基线社会经济微观数据
- 批准号:
8660558 - 财政年份:2012
- 资助金额:
$ 56.64万 - 项目类别:
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:
8450129 - 财政年份:2012
- 资助金额:
$ 56.64万 - 项目类别:
Baseline Socioeconomic Microdata for Population and Health Research
人口与健康研究的基线社会经济微观数据
- 批准号:
8383297 - 财政年份:2012
- 资助金额:
$ 56.64万 - 项目类别:
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