Applying the Data Documentation Initiative (DDI) to MIDUS
将数据文档计划 (DDI) 应用于 MIDUS
基本信息
- 批准号:7683247
- 负责人:
- 金额:$ 6.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-15 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAdvocateAgeAgingAmericanArchivesBiological MarkersCardiovascular systemCognitiveCollectionComplexComputer softwareConsultDataData CollectionData LinkagesData SetData SourcesDatabasesDestinationsDevelopmentDisciplineDocumentationElectroencephalographyElectronicsExtensible Markup LanguageField ReportsFundingGoalsImageImmuneInstitutesInternationalInternetInvestigationLaboratoriesLibrariesLifeLinkLongitudinal StudiesLongitudinal SurveysMetadataMichiganNIH Program AnnouncementsNatureNeurologicNeurosecretory SystemsOnline SystemsParticipantPatternProceduresProcessProgramming LanguagesQuestionnairesReactionResearchResearch PersonnelResourcesScheduleSocial SciencesSourceTechnologyTelephoneTextTimeUnited States National Institutes of HealthUniversitiesWisconsinbasebiopsychosocialcomputerizeddata formatdesignemotional reactioninstrumentmiddle ageprogramspublic health relevancesocialstressorweb site
项目摘要
DESCRIPTION (provided by applicant): One R03 funding option is for "development of new research technology" (National Institutes of Health Program Announcement PA-06-180). Pursuant to this option, the primary objective of the current proposal is to apply a new documentation standard called the Data Documentation Initiative (DDI) to MIDUS (Midlife in the U.S.), a national longitudinal study of over 7,000 Americans. DDI is an international effort begun in 2000 to standardize and expand the role of social science codebooks with the intent of making them available through the Internet. The DDI uses a powerful programming language called eXtensible Markup Language (XML) to create codebooks that are significant improvements over traditional text-based codebooks. In 2007, the MIDUS Administrative Core (University of Wisconsin Institute on Aging) created a DDI codebook for Project 1 of MIDUS 2 (including 2,400 variables and 4,963 participants). The specific aims of this proposal are (1) to adopt the standard for the remaining MIDUS 2 data (Projects 2-5) and bring data from the first wave of MIDUS (1995-96) into DDI compliance; (2) to enhance the scope of DDI codebooks by electronically documenting all supporting metadata where possible (creating hyperlinks to supporting files), and (3) to exploit the features of DDI in order to clarify the longitudinal nature of MIDUS by integrating Wave 1 and Wave 2 data and metadata via online analysis programs. These aims will be applied to: Project 2 (4,000 variables; 1,400 participants), which involves the daily assessments of life stressors and emotional reactions to them; Project 3 (2,400 variables; 4,500 participants), which involves the administration of a phone-based cognitive battery and an in-depth laboratory assessment of cognitive capacities; Project 4 (3,000 variables; 1,550 participants), which involves the collection of comprehensive biomarkers (neuroendocrine, cardiovascular, and immune); and Project 5 (1,000 variables; 400 participants), which involves neurological assessments (EEG, neuro-imaging). The procedures for creating DDI codebooks for the above projects as well as for MIDUS 1 include: (1) processing each Project's final dataset by a special software package called Nesstar Publisher, which creates a DDI-compliant XML file; (2) accumulating in a separate database any additional information not contained in the dataset (questionnaires, field reports, etc); (3) integrating the two sources of data (the Nesstar-derived XML file and the database of additional metadata) into a single codebook and creating a presentation which includes links to cross-referenced variables that contain skip patterns and hyperlinks to separate documentation files. These goals will be accomplished over a two-year period, following the sequential schedule for completion of data collection in Project 2 through 5. PUBLIC HEALTH RELEVANCE: The proposed project will enhance the efficient and effective public use of a national biopsychosocial study of aging. By using a powerful web-based programming language, the Data Documentation Initiative (DDI) creates interactive and comprehensive documentation that is a significant improvement over traditional text- based documentation. Adopting this technology will maximize the usefulness of the MIDUS study to researchers from diverse fields in the U.S. and beyond.
描述(由申请人提供): R03 资助选项之一是用于“新研究技术的开发”(美国国立卫生研究院计划公告 PA-06-180)。根据此选项,当前提案的主要目标是将名为数据文档计划 (DDI) 的新文档标准应用于 MIDUS(美国中年),这是一项针对 7,000 多名美国人的全国纵向研究。 DDI 是一项于 2000 年开始的国际努力,旨在标准化和扩大社会科学密码本的作用,旨在通过互联网提供它们。 DDI 使用一种称为可扩展标记语言 (XML) 的强大编程语言来创建码本,该码本比传统的基于文本的码本有显着改进。 2007 年,MIDUS 管理核心(威斯康星大学老龄化研究所)为 MIDUS 2 项目 1 创建了 DDI 密码本(包括 2,400 个变量和 4,963 名参与者)。该提案的具体目标是(1)采用剩余MIDUS 2数据(项目2-5)的标准,并将第一波MIDUS(1995-96)的数据纳入DDI合规性; (2) 通过尽可能以电子方式记录所有支持元数据(创建支持文件的超链接)来扩大 DDI 密码本的范围,以及 (3) 通过在线分析程序集成 Wave 1 和 Wave 2 数据和元数据,利用 DDI 的功能来阐明 MIDUS 的纵向性质。这些目标将应用于: 项目 2(4,000 个变量;1,400 名参与者),其中涉及对生活压力源及其情绪反应的日常评估;项目 3(2,400 个变量;4,500 名参与者),涉及基于电话的认知电池的管理和认知能力的深入实验室评估;项目4(3,000个变量;1,550名参与者),涉及综合生物标志物的收集(神经内分泌、心血管和免疫);项目 5(1,000 个变量;400 名参与者),涉及神经学评估(脑电图、神经影像)。为上述项目以及 MIDUS 1 创建 DDI 码本的过程包括: (1) 通过名为 Nesstar Publisher 的特殊软件包处理每个项目的最终数据集,该软件包创建符合 DDI 的 XML 文件; (2) 在单独的数据库中积累数据集中未包含的任何附加信息(调查问卷、现场报告等); (3) 将两个数据源(Nesstar 派生的 XML 文件和附加元数据的数据库)集成到单个密码本中,并创建一个演示文稿,其中包括指向包含跳过模式的交叉引用变量的链接和指向单独文档文件的超链接。这些目标将按照项目 2 至 5 中完成数据收集的顺序时间表,在两年内实现。 公共卫生相关性:拟议项目将提高公众对国家老龄化生物心理社会研究的高效和有效利用。通过使用功能强大的基于 Web 的编程语言,数据文档计划 (DDI) 创建了交互式且全面的文档,这是对传统基于文本的文档的重大改进。采用这项技术将最大限度地提高 MIDUS 研究对美国及其他地区不同领域的研究人员的实用性。
项目成果
期刊论文数量(0)
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{{ truncateString('Barry T Radler', 18)}}的其他基金
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 - 财政年份:2013
- 资助金额:
$ 6.68万 - 项目类别:
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:
8617056 - 财政年份:2013
- 资助金额:
$ 6.68万 - 项目类别:
Applying the Data Documentation Initiative (DDI) to MIDUS
将数据文档计划 (DDI) 应用于 MIDUS
- 批准号:
7501847 - 财政年份:2008
- 资助金额:
$ 6.68万 - 项目类别:
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