Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in India

描述（由申请人提供）：本申请的目标是双重的。首先，我们将对2010年印度纵向老龄化研究（LASI）试点调查的数据进行存档，并通过兰德调查Meta数据存储库（metadata.rand.org）提供这些数据。其次，我们将创建一个用户友好的数据集，其中包含衍生变量，可以促进二次分析（包括跨国分析）。 LASI旨在成为一项小组调查，代表印度至少45岁的人及其配偶，无论年龄如何。2010年的试点调查在四个邦进行：卡纳塔克邦、喀拉拉邦、旁遮普和拉贾斯坦邦。选择这四个邦是为了反映印度各地的地区差异以及社会经济和文化差异。2010年10月至12月，LASI采访了这四个州的1,683名代表。该调查工具旨在收集概念上与健康与退休研究（HRS）及其在亚洲的姐妹调查类似的信息，包括人口统计学变量;家庭结构和社会网络;健康和健康行为;医疗保健利用;工作和养老金;住房和环境;以及收入，资产，债务和消费。LASI还收集了人体测量和生物特征测量，进行了身体和认知性能测试，并收集了DBS标本。 调查Meta数据储存库的开发是为了利用世界各地的健康和退休研究系列，促进对老龄问题的跨国分析。该项目的目标是完成一个调查问题和流程图的综合数字图书馆;提供一个使用关键词、领域和子域的智能搜索引擎;并创建一套统一或定义相同的变量。该资料库还包含一个上下文信息库和一个允许研究人员输入的Wiki系统。目前，该系统包含来自25个国家的11项健康和退休研究的统一和易于搜索的信息。在这个创新的信息系统的基础上，我们的应用程序旨在存档和创建一个用户友好的数据，从2010年LASI试点调查供公众使用。与兰德HRS类似，我们将通过合并应答者级别数据、配偶级别数据和家庭级别数据来创建用户友好型数据。由此产生的用户友好的数据与额外的统一变量将创造时间节省所有研究人员有兴趣使用LASI试点数据。 公共卫生相关性：在本项目中，我们将存档并传播印度纵向老龄化研究（LASI）试点波的数据以供使用，这是一项多学科调查，代表了来自卡纳塔克邦、喀拉拉邦、旁遮普和拉贾斯坦邦的45岁及以上成年人。我们为此开发了一个用户友好的数据集，可以从兰德调查Meta数据存储库维护的安全网站下载。这些公开的数据将有助于分析印度国内以及印度与其他国家之间的退休、老龄化和健康之间的关系。因此，这项工作可以为印度、亚洲其他发展中国家和富裕的工业化国家的政策提供信息。

DESCRIPTION (provided by applicant): The goals of this application are two-fold. First, we will archive data from the 2010 pilot survey of the Longitudinal Aging Study in India (LASI) and make them available through the RAND Survey Meta Data Repository (metadata.rand.org). Second, we will create a user friendly data set with derived variables that can facilitate secondary analysis (including cross-country analysis). LASI is designed to be a panel survey representing persons at least 45 years of age in India and their spouses regardless of age. The 2010 pilot survey was fielded in four states: Karnataka, Kerala, Punjab, and Rajasthan. These four states were chosen to capture regional variations as well as socioeconomic and cultural differences across India. LASI interviewed 1,683 individuals representative of these four states during October through December of 2010. The survey instrument has been designed to collect information that is conceptually comparable to the Health and Retirement Study (HRS) and its sister surveys in Asia, and includes variables on demographics; family structure and social network; health and health behaviors; health care utilization; work and pension; housing and environment; and income, assets, debts, and consumption. LASI also collected anthropometric and biometric measures, conducted physical and cognitive performance tests, and collects DBS specimens. The Survey Meta Data Repository is developed to facilitate cross-national analyses on aging, using the family of Health and Retirement Studies around the world. The project goals have been to complete a comprehensive digital library of survey questions and flow-charts; to provide an intelligent search engine that uses keywords, domains, and sub-domains; and to create a set of harmonized or identically defined variables. This repository also contains a library of contextual information and a Wiki system allowing researcher input. Currently, the system contains harmonized and easily searchable information on eleven health and retirement studies from 25 countries. Building on this innovative information system, our application seeks to archiving and creating a user friendly data from the 2010 LASI pilot survey for public use. Similar to RAND HRS, we will create a user friendly data by merging respondent-level data with spouse-level and household-level data. The resulting user friendly data with additional harmonized variables will create time savings for all researchers interested in using the LASI pilot data. PUBLIC HEALTH RELEVANCE: In this project, we will archive and disseminate for use data from the pilot wave of the Longitudinal Aging Study in India (LASI), a multi-disciplinary survey, representative of adults at age 45 and older from the states of Karnataka, Kerala, Punjab, and Rajasthan. We develop a user-friendly data set for this, making it available for download from a secure website maintained by the RAND Survey Meta Data Repository. The publicly available data will enable analyses of the relationships among retirement, aging, and health both within India and between India and other nations. As such, this work can inform policy within India, in other developing countries in Asia, and in wealthy industrialized countries.