International Integrated Microdata Series

国际综合微观数据系列

• 批准号: 1852842
• 负责人: Steven Ruggles
• 金额: $ 504.72万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852842&HistoricalAwards=false
• 关键词: International; Integrated; Microdata; Series

This research project will enrich and expand the Integrated Public Use Microdata Series (IPUMS). IPUMS is the world's largest population database, with information describing over one billion individuals drawn from 365 censuses and surveys taken in 94 countries. The extraordinary growth and redistribution of population and economic resources are reshaping the planet. To meet the challenges created by rapid demographic, economic, and environmental change, researchers must have full and open access to the best possible information. This project will expand the geographic and chronological coverage of the database, preserve it for future generations, and make the data available to users around the world. IPUMS data already have stimulated new research that transcends national boundaries and static interpretation. The data are broadly used by national and international agencies to inform policy. This project will enhance scientific understanding of critical policy-related issues such as population aging, international migration, climate change, and the effects of government programs on economic development and well-being. The project will promote teaching, training, and learning through three mechanisms. IPUMS will provide online data analysis and promote the sharing of curricular materials. Training workshops will be conducted, and the research team will further develop online training modules on how to use the data. The project will continue to employ a diverse group of graduate and undergraduate research assistants, including members of underrepresented groups, who will develop valuable skills in an interdisciplinary environment.This research project will conduct five major activities. First, the research team will obtain and preserve the newest data as soon as they become available and seek out data from the 1960s through the 1980s that are at risk of destruction. Second, the research team will clean and process the data, drawing samples, correcting errors, applying confidentiality edits, and coding the data consistently across countries. Third, comprehensive documentation will be developed to guide users on the meaning of census and survey responses and their comparability across time and space. Fourth, the research team will maintain and improve the data access system. Fifth, education and dissemination activities will be expanded. IPUMS also will undertake activities designed to strengthen relationships with partner statistical agencies and promote long-run organizational sustainability. These activities will multiply the quality, quantity, accessibility, and interoperability of information about the changing human population, creating a transnational resource of unprecedented power for understanding human society on a global scale.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该研究项目将丰富和扩大综合公共使用微数据系列（IPUMS）。IPUMS是世界上最大的人口数据库，其信息描述了94个国家进行的365次人口普查和调查中的10亿多人。人口和经济资源的惊人增长和重新分配正在重塑地球。为了应对快速的人口、经济和环境变化所带来的挑战，研究人员必须能够充分和开放地获取最佳信息。该项目将扩大数据库的地理和年代覆盖范围，为子孙后代保存数据，并向世界各地的用户提供数据。IPUMS数据已经激发了超越国界和静态解释的新研究。这些数据被国家和国际机构广泛用于制定政策。该项目将加强对关键政策相关问题的科学理解，如人口老龄化，国际移民，气候变化以及政府计划对经济发展和福祉的影响。该项目将通过三个机制促进教学、培训和学习。IPUMS将提供在线数据分析，并促进课程材料的共享。将举办培训讲习班，研究小组将进一步开发关于如何使用数据的在线培训模块。该项目将继续雇用一批多样化的研究生和本科生研究助理，包括代表性不足的群体的成员，他们将在跨学科的环境中发展宝贵的技能。首先，研究小组将尽快获得和保存最新的数据，并寻找从20世纪60年代到80年代可能被破坏的数据。其次，研究团队将清理和处理数据，绘制样本，纠正错误，应用保密编辑，并在各国对数据进行一致的编码。第三，将编制综合文件，指导用户了解普查和调查答复的含义及其在不同时间和空间的可比性。第四，研究团队将维护和完善数据访问系统。五是扩大教育宣传活动。联合会还将开展活动，加强与伙伴统计机构的关系，促进组织的长期可持续性。这些活动将成倍增加有关人口变化的信息的质量、数量、可访问性和互操作性，为在全球范围内理解人类社会创造前所未有的力量的跨国资源。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。