Integrated Eurasian Microdata Project

 描述(由申请人提供)：本提案寻求持续资金，以开发和支持大规模微观数据档案，这些数据来自过去半个世纪被列举的43个欧洲和亚洲国家的163次人口普查。这些数据是综合公共使用微观数据系列(IPUMS)的重要组成部分，该系列是人口和卫生研究中使用最密集的资源之一。经过改进和扩大的数据库将使研究人员能够在数十个国家的数十个国家进行比较，在数十年的变革中进行比较，并将导致对经济发展、生育率和死亡率下降、国际移民和家庭变化之间的相互关系进行大量新的健康相关分析。欧亚微数据档案是对世界人口研究基础设施的永久和实质性贡献。通过使研究人员容易地获取这些数据并开发全面和可理解的文件，该项目正在鼓励超越国界和静态解释的新的科学研究。该项目有四个主要目标：(1)扩大数据库，增加6个新国家的数据和数据库中现有国家的2010年新一轮样本。(2)加强数据和元数据，包括新的地理编码，以更好地支持一致的跨国家和跨时期分析，基于住房特征的新的具有国际可比性的生活水平指数，以及基于职业和教育程度的新的社会经济指标。(3)通过实施应用程序编程接口、创新的新数据结构和虚拟数据飞地，改善数据基础设施和访问。(4)通过用户支助、培训和外联以及执行新计划确保数据和元数据的长期保存，确保传播和可持续性。这一基础设施是卫生研究和政策分析的基本资源。过去的模型和描述既是过去社会变革的理论基础，也是对未来的预测。因此，数据系列为研究健康和人口过程提供了一个独特的实验室，并为我们开发和测试社会和经济模型提供了所需的经验基础。。

 DESCRIPTION (provided by applicant): This proposal seeks continuation funding to develop and support a vast archive of large-scale microdata drawn from 163 censuses of 43 European and Asian countries enumerated over the past half century. These data are a vital component of the Integrated Public Use Microdata Series (IPUMS), one of the most intensively-used resources for population and health research. The improved and expanded database will allow investigators to make comparisons across dozens of countries during decades of transformative change and will result in substantial new health-related analyses of the interrelationships of economic development, fertility and mortality decline, international migration, and family change. The Eurasian microdata archive represents a permanent and substantial contribution to the world's population research infrastructure. By making these data easily accessible to researchers and developing comprehensive and comprehensible documentation, the project is stimulating new scientific studies that transcends national boundaries and static interpretation. The project has four major goals: (1) Expand the database, adding data for six new countries and new 2010 round samples for countries currently in the database. (2) Enhance data and metadata, including new geographic coding to better support consistent cross-national and cross-temporal analysis, a new internationally-comparable living standards index based on housing characteristics, and a new socioeconomic indicator based on occupation and educational attainment. (3) Improve data infrastructure and access by implementing an Application Programming Interface, innovative new data structures, and a virtual data enclave. (4) Ensure dissemination and sustainability through user support, training and outreach, and implementation of a new plan to ensure long-run preservation of the data and metadata. This infrastructure is a basic resource for health research and policy analysis. Models and descriptions of the past underlie both theories of past social change and projections into the future. Accordingly, the data series provides a unique laboratory for the study of health and demographic processes and provides the empirical foundation we need for developing and testing social and economic models. .