Integrating Information about Aging Surveys

摘要 本次更新申请的目的是继续并加强我们目前的项目，全球门户 老龄化数据（g2aging.org），这是一个数据和信息平台，旨在促进纵向和跨国 对老龄化的分析，特别是那些使用世界各地的健康和退休研究（HRS）的家庭。 该网关为30个国家的12项调查的元数据编制了索引， 人口统计学、健康、医疗保健、认知、金融和住房财富、收入、消费、 养老金、退休、就业历史和家庭结构，实现跨波、跨国搜索， 分析.我们现在有1，486名注册用户，此外还有165名非注册用户。 访问我们网站的国家。累计有69 529次会议，共浏览593 107页。 在开发网关之前，有几个障碍限制了对跨波人口普查使用人力资源系统家庭调查。 跨国研究。这些问题包括识别一致性信息的困难， 合并多个数据文件，分散的文档，以及缺乏对可用内容的了解。的 Gateway使跨时间和国家的HRS家庭调查分析变得更加容易，降低了成本， 为新的研究人员进入和节省时间和精力，有经验的研究人员。我们的统一数据集 使用户能够更准确、轻松、快速地构建分析数据集， 每个项目为我们的用户节省8周时间。我们的注册用户在过去两年发表了227篇论文， 甚至更多的用户报告说，他们使用网关进行课程作业、会议演示和工作 学术出版物的论文。在本申请中，我们的目标是结合额外的纵向，协调 变量提供了巨大的科学承诺，经常被用户要求，特别是那些 生物标志物，残疾，养老金财富和退休激励，社会联系和孤立， 社会心理学、死者近亲访谈和生活史访谈。我们还寻求技术 数据结构和可视化的进步。我们制定了一项更积极的外联战略， 这一应用，包括组织关于跨国公司的会前/会后会议和方法讲习班， 分析;协调专题讨论会;通过用户讲习班和网络研讨会培训用户;建立一个积极和 通过社交媒体参与用户社区;继续通过展览传播;并为用户提供 通过我们的帮助台提供支持。拟议的工作将改善我们提供的信息和数据， 降低利用人力资源系统家庭调查进行纵向或跨国研究的障碍， 更大的研究社区。退出数据和生活史数据，以及其他关键变量，如 心理社会变量，从来没有被协调过。将这些新数据存储起来将加快 科学发现在较少研究的领域，并提供了巨大的科学前景。

Abstract The goal of this renewal application is to continue and to enhance our current project, the Gateway to Global Aging Data (g2aging.org), a data and information platform developed to facilitate longitudinal and cross-country analyses on aging, especially those using the family of Health and Retirement Studies (HRS) around the world. The Gateway has indexed metadata from 12 surveys in 30 countries and has created 11,540 key harmonized variables on demographics, health, health care, cognition, financial and housing wealth, income, consumption, pension, retirement, employment history, and family structure, enabling cross-wave, cross-country search and analysis. We now have 1,486 registered users, in addition to numerous non-registered users from 165 countries who visit our site. Cumulatively, there have been 69,529 sessions, viewing a total of 593,107 pages. Prior to development of the Gateway, several barriers limited the use of HRS-family surveys for cross-wave and cross-country research. These included the difficulty of identifying concordance information, the need to merge multiple data files, dispersed documentation, and the lack of knowledge of what is available. The Gateway makes analyses of HRS-family surveys across time and countries much easier, lowering the costs of entry for new researchers and saving time and effort for experienced researchers. Our harmonized datasets have enabled users to build analysis datasets more accurately, easily, and quickly, generating an average time savings of 8 weeks per project for our users. Our registered users published 227 papers in the past two years, and even more users reported using the Gateway for their course work, conference presentations, and working papers for academic publications. In this application, we aim to incorporate additional longitudinal, harmonized variables which offer great scientific promise and are often requested by users, specifically those on biomarkers, disability, pension wealth and incentives to retire, social connectedness and isolation, psychosocial, next-of-kin interviews for the deceased, and life-history interviews. We also seek technological advancements in data structure and visualizations. We have developed a more aggressive outreach strategy in this application, including organizing pre/post conferences and methodological workshops on cross-country analysis; coordinating symposia; training users through user workshops and webinars; building an active and engaged user community through social media; continuing to disseminate through exhibits; and providing user support through our help desk. The proposed work will improve the information and the data we provide and lower the barriers to conducting longitudinal or cross-country research using HRS-family surveys, benefiting the larger research community. Exit data and life-history data, as well as other key variables, such as psychosocial variables, have never been harmonized. Incorporating these new data will expedite the speed of scientific discoveries in less-researched areas and offers great scientific promise.