Integrting Information About Aging Surveys

描述（由申请人提供）：最近收集的国际数据，如英国老龄化纵向研究（EISA），欧洲健康，老龄化和退休调查（SHARE）和韩国老龄化纵向研究（KLoSA）的目标之一是在健康和退休研究（HRS）之后进行比较国际研究。跨国老龄化研究的潜在好处开始得到广泛认可，研究人员从这些研究中得出了有见地的发现。然而，这类研究的数量仍然很少，部分原因是不容易知道各种调查中哪些措施完全相似，哪些不完全相似。有鉴于此，我们的目标是开发一个资源，以促进在比较研究中使用不同的数据集，这是一个信息，知识和经验的储存库，并可作为老龄调查的调查问题库。更具体地说，我们的应用程序有以下具体目标：（1）创建一个数字图书馆的调查问题中使用的所有调查中纳入系统。(2)开发一个类似谷歌的搜索工具，使研究人员能够搜索数字图书馆，并将分析数据集与数据库定义的变量放在一起。(3)协调数据集之间有关变量定义和问题格式的信息，以便研究人员可以轻松查看每个变量的测量方式以及不同调查之间的差异。(4)创建一个“维基百科式”系统，研究人员可以在其中添加用于构建派生变量的程序，评论数据中的问题，其他人遵循的程序等。（5）用上下文变量丰富数据集，例如不同国家的生活成本指数，税收计算器，医疗保健成本。(6)包括用于访问和描述parkings的工具。Paramount是在面试中收集的“外部”数据。(7)将项目的产品作为公共产品提供给整个研究界。(8)扩大数据库，增加新出现的老龄化调查。

DESCRIPTION (provided by applicant): One of the goals of the recently collected international data such as English Longitudinal Study of Ageing EISA), Survey of Health, Ageing, and Retirement in Europe (SHARE), and Korean Longitudinal Study of Aging (KLoSA) that have been modeled after the Health and Retirement Study (HRS) is to allow for comparative international studies. Potential benefits of cross-national studies of aging are beginning to become widely recognized, and researchers have produced insightful findings from such studies. However, such studies are still small in number, and partly this is due to the fact that it is not straightforward to know which measures in the various surveys are fully similar and which are not. In this light, we aim at developing a resource that facilitates the use of different datasets in comparative studies, that is a repository of information, knowledge and experience, and which may serve as a library of survey questions for aging surveys. More specifically, our application has the following specific aims: (1) Create a digital library of survey questions used in all surveys that are incorporated in the system. (2) Develop a Google-like search facility that will allow researchers to search the digital library and put together analysis datasets with comparably defined variables. (3) Harmonize information about variable definitions and question formats across datasets, so that a researcher can easily see for each variable how it was measured and how that may differ across surveys. (4) Create a "Wikipedia-like" system, in which researchers can add procedures for the construction of derived variables, comment on problems in data, procedures followed by others, etc. (5) Enrich datasets with contextual variables, e.g. cost of living indexes for different countries, tax calculators, the cost of health care. (6) Include facilities to access and describe paradata. Paradata are 'external' data collected during an interview. (7) Make the products of the project available to the research community at large as a public good. (8) Expand the data library by adding emerging aging surveys, as they become available.