Facilitating Secondary Analysis and Archiving of MIDUS through DDI

通过DDI促进MIDUS的二次分析和归档

• 批准号: 8738569
• 负责人: Barry T Radler
• 金额: $ 11.13万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8738569
• 关键词: Adult; African American; Aging; Algorithms; American; Archives; Award; Behavioral; Code; Communities; Complex; Computer software; Custom; Data; Data Collection; Data Set; Development; Documentation; Electronics; Ensure; Environment; Extensible Markup Language; Feedback; Funding; Goals; Institutes; Internet; Japan; Japanese Population; Language; Link; Longitudinal Studies; Measures; Metadata; Methods; Online Systems; Procedures; Process; Programming Languages; Publishing; Research; Research Personnel; Sampling; Schedule; Structure; Technology; Text; United States; Universities; Weight; Wisconsin; Work; aged; base; biopsychosocial; cohort; computerized; design; improved; innovation; middle age; mortality; multidisciplinary; public health relevance; repository; social; statistics; tool; web-enabled

DESCRIPTION (provided by applicant): This proposal responds to RFA-AG-13-009 (Secondary Analyses and Archiving of Social and Behavioral Datasets in Aging), one goal of which is "archiving and dissemination of data sets to enable secondary analysis." The primary objective is to extend our prior work in applying new documentation technology to MIDUS (Midlife in the United States), a national longitudinal study of approximately 10,000 Americans designed to study aging as an integrated biopsychosocial process. We will employ a technological metadata standard called the Data Documentation Initiative (DDI) to construct enhanced electronic codebooks for all MIDUS projects. Prior work applied DDI (2.1) to MIDUS codebooks, which were delivered to ICPSR, as well as used to create a searchable online repository. Upgrading all MIDUS codebooks to a more advanced version of DDI (3.2) will facilitate identification and harmonization of similar MIDUS variables, as well as enhance our online repository with a data extract function that will accomplish something unprecedented: the ability to obtain customized cross-project downloads of harmonized MIDUS data that are DDI-compliant. So doing will greatly facilitate efficient and effective public use of the large longitudinal and multi-disciplinary datasets that comprise the MIDUS study. DDI is based on a powerful language called eXtensible Markup Language (XML), a web-based data-publishing standard that is similar to HTML, but more powerful. XML allows data published on the web to be highly structured and interactive. Its main advantage is that it is machine-readable and in a format specifically designed to describe data. The latest version of DDI (3.2) contains nearly 900 new and revised tags and is designed to provide more efficient documentation of longitudinal and other complex hierarchical data structures. The specific aims of this proposal are: (1) to apply the DDI (3.2) metadata standard to all MIDUS-related data, upgrading M1 and M2 DDI (2.1) codebooks, and creating new codebooks from recently funded data collection efforts (including a Refresher cohort (national and Milwaukee-specific samples), a third wave of the original MIDUS sample (M3), and a second wave from the Japanese version of MIDUS called Midlife in Japan (MIDJA)); and (2) to integrate the DDI materials produced by Aim #1 into a searchable online repository from which researchers can create customized MIDUS datasets of internally harmonized variables. Accomplishing these aims will produce a DDI repository that performs variable searches across different MIDUS project datasets, identifies related variables along with their full metadata, enables custom data extracts of selected variables, and provides custom codebooks that contain information, procedures, and algorithms for their harmonization. These goals will be accomplished over a two-year period, following the sequential schedule for completion of data collection for the Refresher, M3 and MIDJA.

描述（由申请人提供）：该提案响应 RFA-AG-13-009（老龄化社会和行为数据集的二次分析和归档），其目标之一是“数据集的归档和传播以实现二次分析”。主要目标是将我们之前的工作扩展到 MIDUS（美国中年），这是一项针对约 10,000 名美国人的全国性纵向研究，旨在研究衰老作为一个综合的生物心理社会过程。我们将采用称为数据文档计划 (DDI) 的技术元数据标准来为所有 MIDUS 项目构建增强的电子密码本。之前的工作将 DDI (2.1) 应用于 MIDUS 密码本，这些密码本已交付给 ICPSR，并用于创建可搜索的在线存储库。将所有 MIDUS 密码本升级到更高级的 DDI (3.2) 版本将有助于识别和协调类似的 MIDUS 变量，并通过数据提取功能增强我们的在线存储库，这将实现前所未有的目标：获得定制跨项目的能力下载符合 DDI 的统一 MIDUS 数据。这样做将极大地促进公众高效且有效地使用构成 MIDUS 研究的大型纵向和多学科数据集。 DDI 基于一种称为可扩展标记语言 (XML) 的强大语言，这是一种基于 Web 的数据发布标准，类似于 HTML，但功能更强大。 XML 允许在网络上发布的数据具有高度结构化和交互性。它的主要优点是它是机器可读的并且采用专门设计用于描述数据的格式。最新版本的 DDI (3.2) 包含近 900 个新的和修订的标签，旨在提供更有效的纵向和其他复杂分层数据结构的文档。该提案的具体目标是：（1）将 DDI（3.2）元数据标准应用于所有 MIDUS 相关数据，升级 M1 和 M2 DDI（2.1）码本，并从最近资助的数据收集工作（包括复习队列（全国和密尔沃基特定样本）、原始 MIDUS 样本 (M3) 的第三波，以及日本版 MIDUS 的第二波（在日本称为 Midlife） （米贾））； (2) 将目标 #1 生成的 DDI 材料集成到可搜索的在线存储库中，研究人员可以从中创建内部协调变量的定制 MIDUS 数据集。实现这些目标将产生一个 DDI 存储库，该存储库在不同的 MIDUS 项目数据集上执行变量搜索，识别相关变量及其完整元数据，启用所选变量的自定义数据提取，并提供包含信息、过程和算法的自定义码本以实现协调一致。这些目标将按照完成 Refresher、M3 和 MIDJA 数据收集的顺序时间表在两年内实现。