International Integrated Microdata Series

SES-0851414 Steven RugglesRagui A. AssaadDeborah Levison Robert E McCaaMatthew J Sobek明尼苏达大学该项目继续构建，丰富和免费传播前所未有的规模和范围的全球微数据资源。国际综合微数据系列（IPUMS-International）正在为科学研究、教育和决策建立基本的基础设施。该项目建立了世界上最大的人口数据库，其中载有1960年至2005年期间35个国家111次人口普查得出的2.63亿人的资料。下一个项目阶段将大幅度扩大数据库的地理和年代覆盖范围，继续保存数据，并向世界各地的用户传播数据。主要有四个方面的活动：（1）数据采集和长期保存。该项目将获取和保存2010年人口普查的最新数据以及1960年代至1980年代的最旧数据，其中大多数数据只存在于日益老化的磁带上。 (2)数据清理和处理。在发布数据之前，有必要抽取样本，纠正错误，根据需要进行保密性编辑，并使数据具有互操作性。 (3)文献.全面的记录对于指导用户了解普查答复的含义及其在不同时间和空间的可比性至关重要。 (4)传播。该项目将改进网络传播系统，实施在线数据分析和协作软件，并开展教育和传播活动方案。更广泛的影响。跨越地球仪数十年的详细人口数据对于创建下一代人口、经济和环境模型是不可或缺的。IPUMS国际数据已经激发了超越国界和静态解释的新研究。为了使数据库成为最先进的信息来源，该项目将增加2010年各轮人口普查的最新材料，处理来自其他国家的数据，并在有可能被破坏的情况下恢复数据。通过将数据库的范围扩大一倍，达到250个普查，下一个项目阶段将利用NSF以前的投资，使IPUMS国际成为了解正在重塑地球的人口全面转变的原因和后果的更强大的资源。该项目将为在全球范围内理解人类社会创造一个具有前所未有的力量的跨国资源。这一基础设施将成倍提高有关不断变化的人口的信息的质量、数量、可访问性和互操作性。通过自由传播数据，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。该项目通过三种机制促进教学、培训和学习。首先，该项目开发了在线数据分析的新工具，用于共享各级教学的课程材料，将发现的兴奋带入课堂。第二，它将举办培训讲习班，并开发在线培训模块，以提供数据使用方面的直接指导。第三，该项目将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，他们将在一个激励性的跨学科环境中发展有价值的新技能。

SES-0851414Steven RugglesRagui A. AssaadDeborah LevisonRobert E McCaaMatthew J SobekUniversity of MinnesotaThis project continues to build, enrich, and freely disseminate a global microdata resource of unprecedented scale and scope. The International Integrated Microdata Series (IPUMS-International) is creating fundamental infrastructure for scientific research, education, and policy-making. The project has produced the world's largest population database, with information describing 263 million persons drawn from 111 censuses of 35 countries between 1960 and 2005. The next project phase will dramatically expand the geographic and chronological coverage of the database, continue to preserve data, and disseminate the data to users around the world. There are four major activities: (1) Data acquisition and long-run preservation. The project will obtain and preserve the newest data from the 2010 round of censuses and the oldest data from the 1960s through the 1980s, most of which exist only on deteriorating magnetic tapes. (2) Data cleaning and processing. Before data can be released, it is necessary to draw samples, correct errors, apply confidentiality edits as needed, and make the data interoperable. (3) Documentation. Comprehensive documentation is essential to provide guidance to users on the meaning of census responses and their comparability across time and space. (4) Dissemination. The project will improve the web-based dissemination system, implement online data analysis and collaboration software, and conduct a program of education and dissemination activities. Broader Impacts. Richly detailed population data spanning the globe over multiple decades are indispensable for creating the next generation of demographic, economic, and environmental models. IPUMS-International data have already stimulated new research that transcends national boundaries and static interpretation. To keep the database a cutting-edge source of information, the project will add the latest material from the 2010 census rounds, process data from additional countries, and recover data at risk of destruction. By doubling the scope of the database to 250 censuses the next project phase will leverage the NSF's previous investment and make IPUMS-International an even more powerful resource for understanding the causes and consequences of the sweeping transformations of the human population that are reshaping the planet. This project will create a transnational resource of unprecedented power for understanding human society on a global scale. This infrastructure will multiply the quality, quantity, accessibility, and interoperability of information about the changing human population. By freely disseminating the data, the 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 promotes teaching, training, and learning through three mechanisms. First, the project develops new tools for online data analysis for sharing curricular materials for teaching at all levels, bringing the excitement of discovery into the classroom. Second, it will conduct training workshops and develop online training modules to provide direct instruction in use of the data. Third, the project will employ a diverse group of graduate and undergraduate research assistants' including members of underrepresented groups'who will develop valuable new skills in a stimulating interdisciplinary environment