Integrating Information about Aging Surveys

描述(申请人提供)：根据目前的R01和补充挑战补助金，我们开发了调查元数据存储库(metadata.rand.org)，以促进关于老龄化的跨国研究。该资料库目前包含：(1)来自健康与退休研究(HRS)、英国老龄化纵向研究(ELSA)、欧洲健康、老龄化与退休调查(SHARE)、韩国老龄纵向研究(Klosa)、中国健康与退休纵向调查(CHARLS)、墨西哥健康与老龄化研究(MHAS)、日本老龄化与退休研究(JStar)、印度老龄化纵向调查(LASI)、印度尼西亚家庭生活调查(IFLS)、爱尔兰老龄纵向研究(Tilda)、和全球老龄化与成人健康研究(SAGE)；(2)2006年HRS、ELSA和SHARE、2008年CHARLS和2010年LASI的调查流程图；(3)1992-2008年HRS、2002-2008年ELSA、2004-2008年SHARE和2006-2008年KLOSA的人口统计、样本重量、身份识别、婚姻史、父母死亡率、家庭结构、健康、健康行为、财务和住房财富、收入和就业史的协调变量；(4)来自二手来源的经济、教育、环境、性别、健康、保健系统、家庭财务、劳工、养老金、人口和公共福利的背景信息；以及(5)用于研究人员评论和输入的维基系统。我们在2009年2月首次推出了最初资助的R01(2002-2008 HRS、ELSA、Share和Klosa)的存储库站点。2011年2月18日，我们推出了一个更新的网站，纳入了其他调查。自那以来，2545名独立访问者的访问量为5532次，页面浏览量为98852次(截至2011年10月21日)，平均访问时间为11分钟。我们的续订应用程序寻求通过创建额外的协调变量、更新元数据和提高可用性来增强存储库。具体而言，我们寻求(1)通过(A)2010年和2012年两波HRS、ELSA、SHARE和KLOSA；(B)另外两项调查，CHARLS(2008、2011和2013波)和LASI(2012和2014波)扩大协调变量；(C)在医疗保健使用和保险、认知、消费、家庭交换和关系、退休、养老金方面的其他协调变量；(2)以用户指定的汇总和年份水平的交互式、用户友好的表格或图表显示关键指标的总体人口和亚人口估计；(3)用以下内容更新资料库：(A)编制2010年和2012年HRS、ELSA、SHARE和KLOSA、2011和2013 CHARLS、2012和2014 LASI、2011和2013 MHAS、2009、2011和2013 JStar以及2011和2013 Tilda的元数据索引；(B)补充调查流程图；(C)来自国家统计局的背景数据；(4)通过用户讲习班传播统一变量、元数据和背景统计。这项工作将帮助大量研究人员启动对健康、退休和老龄化的跨国分析。

DESCRIPTION (provided by applicant): Under the current R01 and supplemental challenge grant, we developed the Survey Meta Data Repository (metadata.rand.org) to facilitate cross-national studies of aging. The repository currently contains: (1) meta data from and searchable concordance information on all available waves of the Health and Retirement Study (HRS), the English Longitudinal Study on Ageing (ELSA), the Survey of Health, Ageing, and Retirement in Europe (SHARE), the Korean Longitudinal Study on Aging (KLoSA), the Chinese Health and Retirement Longitudinal Survey (CHARLS), the Mexican Health and Aging Study (MHAS), and the Japanese Study of Aging and Retirement (JSTAR), the Longitudinal Aging Survey in India (LASI), the Indonesian Family Life Survey (IFLS), the Irish Longitudinal Study of Aging (TILDA), and the Study on Global Ageing and Adult Health (SAGE); (2) survey flow charts for 2006 HRS, ELSA, and SHARE, 2008 CHARLS, and 2010 LASI; (3) harmonized variables on demographics, sample weights, identifiers, marital history, parent mortality, family structure, health, health behavior, financial and housing wealth, income, and employment history for the 1992 - 2008 HRS, 2002 - 2008 ELSA, 2004 - 2008 SHARE, and 2006 - 2008 KLoSA; (4) contextual information from secondary sources on economy, education, environment, gender, health, health care systems, household finance, labor, pension, population, and public welfare; and (5) a wiki system for researcher comment and input. We first launched the repository site in February 2009 for the originally funded R01 (2002 - 2008 HRS, ELSA, SHARE, and KLoSA). We launched an updated site, incorporating additional surveys, on February 18, 2011. Since then, 2,545 unique visitors have accounted for 5,532 visits and 98,852 page views (as of October 21, 2011), spending 11 minutes in an average visit. Our renewal application seeks to enhance the repository by creating additional harmonized variables, updating the Meta data, and improving usability. Specifically, we seek to (1) Expand harmonized variables with (a) 2010 and 2012 waves of HRS, ELSA, SHARE, and KLoSA; (b) two additional surveys, CHARLS (2008, 2011, and 2013 waves) and LASI (2012 and 2014 waves); (c) additional harmonized variables in health care use and insurance, cognition, consumption, family exchange and relation, retirement, pension; (2) Provide aggregate population and sub-population estimates of key indicators in an interactive, user-friendly display of tables or graphs in user-specified leves of aggregation and years; (3) Update the repository with (a) meta data indexed for cross-wave, cross-survey concordance from 2010 and 2012 HRS, ELSA, SHARE, and KLoSA, 2011 and 2013 CHARLS, 2012 and 2014 LASI, 2011 and 2013 MHAS, 2009, 2011 and 2013 JSTAR, and 2011 and 2013 TILDA; (b) additional survey flow charts; (c) contextual data from national statistical offices; and (4) Disseminate the harmonized variables, meta data, and contextual statistics through user workshops. This work will help large numbers of researchers launch cross- country analyses of health, retirement, and aging.