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Demographic Data Sharing and Archiving

Demographic Data Sharing and Archiving
人口统计数据共享和归档
批准号:
6846117
负责人:
Myron P. Gutmann
金额:
$74.63万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2009-06-30

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中文摘要
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DESCRIPTION (provided by applicant): This application brings together the Inter-university Consortium for Political and Social Research and three leading centers of population research (The Carolina Population Center, the Minnesota Population Center, and the Population Studies Center at the University of Michigan) in response to RFA-HD-03-032, "Infrastructure for Data Sharing and Archiving." These institutions will provide support to investigators funded by the NICHD Demographic and Behavioral Sciences Branch (DBSB) for data sharing and data archiving, with special attention to complex data and data that require special security. Our goal is to support investigators and the research centers in which they work without taking over their desire to and responsibility for maintaining and disseminating the data they collect. Specifically, the project will (1) provide investigators with tools that will enable them to disseminate public access versions of their data; (2) provide investigators with tools and strategies for the dissemination of restricted-access data (3) assist investigators in ensuring that potential users can locate their data, get support in all the stages of acquisition and use, and receive appropriate training in data use; (4) provide long-term secure archiving of public-use and restricted use data, in order to ensure that the data are permanently preserved for future use; and (5) improve the science of data sharing and archiving through a program of research and development in key areas.
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Addressing the Midlife Mortality Crisis: Place-Based Modeling, Trend Analysis and Policy Interventions
  • 批准号:
    10583849
  • 项目类别:
  • 资助金额:
    $58.12万
  • 财政年份:
    2022
  • 负责人:
    Myron P. Gutmann
  • 依托单位:
Demographic Analysis of Longitudinal Historical Data
Demographic Analysis of Longitudinal Historical Data
Human Subject Protection and Disclosure Risk Analysis
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