IPUMS-International Statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation.
IPUMS-International Statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation.
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DOI：
10.1007/978-3-642-15838-4_7
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发表时间：
2010-09
期刊：
影响因子：
--
通讯作者：
Sobek M
中科院分区：
文献类型：
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作者：
McCaa R;Ruggles S;Sobek M
在过去的十年中，社会和行为研究在获取人口普查微观数据方面发生了一场革命。现在，真正的研究人员可以通过明尼苏达人口中心主办的 IPUMS-International 网站（www.ipums.org/international）轻松获取代表世界三分之二人口的超过 3.25 亿人记录（55 个国家，159 个样本）。机密摘录在有限访问的基础上传播，真正的研究人员无需支付任何费用。未来五年，根据国家统计局所有者已经委托的微观数据，该数据库将涵盖世界 80% 以上的人口（85 个国家，约 100 个额外数据集），并优先考虑 2010 年人口普查的样本。从 64,248 个微数据提取请求中描述了最常用的样本和变量的概况。国家统计局、国际组织和学术专家制定隐私保护标准对于引发全球合作以及 IPUMS 倡议的成功至关重要。本文总结了该项目的法律、行政和技术基础，包括统计披露控制，以及前澳大利亚统计学家 Dennis Trewin 先生进行长时间现场审查的结论。
In the last decade, a revolution has occurred in access to census microdata for social and behavioral research. More than 325 million person records (55 countries, 159 samples) representing two-thirds of the world’s population are now readily available to bona fide researchers from the IPUMS-International website: www.ipums.org/international hosted by the Minnesota Population Center. Confidentialized extracts are disseminated on a restricted access basis at no cost to bona fide researchers. Over the next five years, from the microdata already entrusted by National Statistical Office-owners, the database will encompass more than 80 percent of the world’s population (85 countries, ~100 additional datasets) with priority given to samples from the 2010 round of censuses. A profile of the most frequently used samples and variables is described from 64,248 requests for microdata extracts. The development of privacy protection standards by National Statistical Offices, international organizations and academic experts is fundamental to eliciting world-wide cooperation and, thus, to the success of the IPUMS initiative. This paper summarizes the legal, administrative and technical underpinnings of the project, including statistical disclosure controls, as well as the conclusions of a lengthy on-site review by the former Australian Statistician, Mr. Dennis Trewin.