课题基金 / 基金详情

Data Core

Data Core
数据核心
批准号:
10729443
负责人:
Aaron James Kaat
金额:
$71.36万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-09-15 至 2028-05-31
关键词:
AdherenceAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAutomatic Data ProcessingAwardBehavioralBig DataCellular PhoneClinicalClinical DataCodeCognitiveCommunitiesComputing MethodologiesConsultationsDataData AggregationData AnalysesData AnalyticsData CollectionData ProvenanceData ScientistData SetData Storage and RetrievalDecentralizationDevelopmentEnsureFutureGoalsInformation SystemsInfrastructureInternationalLearningLengthLibrariesLife Cycle StagesLocationLongitudinal StudiesLongitudinal, observational studyMachine LearningMeasurementMeasuresMeta-AnalysisMetadataMethodologyMonitorMovementMultiple SclerosisNoiseOutcome MeasureParkinson DiseaseParticipantPatient Outcomes AssessmentsPatient Self-ReportPatternPerformancePopulationProcessPsoriasisPsychometricsQuality ControlReportingReproducibilityReproducibility of ResultsResearchResearch DesignResearch PersonnelResearch Project GrantsResourcesSamplingScienceScoring MethodServicesSpecific qualifier valueStatistical Data InterpretationStructureSurveysSynapsesSystemUnited States National Institutes of HealthValidationValidity and ReliabilityWorkcardiovascular healthcloud basedcognitive abilitycognitive changedata analysis pipelinedata cleaningdata managementdata pipelinedata repositorydata reusedata sharingdata standardsdensitydesigndirect applicationexperiencehigh standardinformantinnovationinterestlongitudinal analysismHealthmultidisciplinarynovelplatform as a servicerepositoryresearch studyresponsesleep qualitysocialsoftware as a servicesupervised learningsupport toolstoolvalidation studies

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中文摘要
翻译
数据和统计分析核心摘要 数据和统计分析核心(数据核心)将提供数据管理和分析支持 在整个移动工具箱2计划中需要的工具。我们将提供标准的数据处理管道和 中央数据存储中心,记录原始数据,以及派生分数的数据来源, 元数据,以及有关度量完成的ParaData。这些过程对于确保 移动工具箱产生的结果的可重复性,以及措施的可靠性和有效性。 数据核心将通过在以下方面提供统计和心理测量专门知识来支持该项目 纵向观测研究的新方法和新分析。此外,开发了集中式存储库 并由数据核心维护,这将是扩展和传播核心在其 为二次研究目的传播数据的努力。移动工具箱系统与数据管理 基础设施是作为Sage Synapse数据平台的扩展而构建的,Sage Synapse是一种基于云的数据存储和 为便于共享数据、数据分析和分布式计算方法而开发的组织系统 跨研究团队。数据核心在满足移动工具箱2的需求方面将是不可或缺的。 核心目标包括:目标1:开展统计分析和方法咨询服务 移动工具箱;目标2:扩展和维护中央存储库,用于数据聚合、管理和 传播;目标3:创建一个学习系统,以协助部署、设计和执行 远程研究。数据核心将管理和进行心理测量验证和分析所需的分析 确定要纳入移动工具箱评估库的任何新措施的规范性 在该项目中采用了科学界参与的方法。发展新的规范性价值观和 在不同和有代表性的样本中,根据需要进行多管齐下的验证分析。这部作品 将由负责标准化和验证的统计学家和心理测量学家团队执行 NIH工具箱®、患者报告结果测量信息系统®和国际认知能力 资源。数据核心将确保任何新的衡量标准都可以包含在自动化数据中 处理流水线,包括确保使用JSON架构对度量进行了良好定义,以便数据 都在自我描述。这允许数据无缝集成到集中式数据存储库中。此外, 该存储库允许跨研究的数据聚合,支持新颖和创新的“大数据”方法。 数据核心将使学习系统能够聚合数据并实施无监督和半监督 跨研究的机器学习方法。
英文摘要
Data and Statistical Analysis Core Summary The Data and Statistical Analysis Core (Data Core) will provide the data management and analytic support tools needed throughout the Mobile Toolbox 2 initiative. We will provide a standard data processing pipeline and centralized data storage center that documents the original data, as well as data provenance for derived scores, metadata, and paradata regarding measure completion. These processes are necessary to ensure the reproducibility of results arising from the Mobile Toolbox, as well as the reliability and validity of the measures. The Data Core will support the Project by providing statistical and psychometric expertise in the development of new measures and analysis of longitudinal observational studies. Further, the centralized repository developed and maintained by the Data Core will be a key component of the Extension and Dissemination Core in their efforts to disseminate data for secondary research purposes. The Mobile Toolbox system and data management infrastructure was built as an extension of the Sage Synapse Data Platform, a cloud-based data storage and organization system developed to facilitate sharing data, data analysis, and computational methods distributed across research teams. The Data Core will be integral in serving the needs of Mobile Toolbox 2. The primary aims of the core include: Aim 1: Conduct statistical analysis and methodological consultation services for the Mobile Toolbox; Aim 2: Extend and maintain a central repository for data aggregation, curation, and dissemination; and Aim 3: Create a learning system to assist in the deployment, design, and execution of remote studies. The Data Core will manage and conduct analyses needed for psychometric validation and norming of any new measures identified for inclusion in the Mobile Toolbox assessment library through the scientific community-engaged approach utilized within the Project. We will develop new normative values and conduct multi-pronged validation analyses as warranted within diverse and representative samples. This work will be performed by the team of statisticians and psychometricians responsible for norming and validating the NIH Toolbox®, Patient Reported Outcome Measurement Information System®, and International Cognitive Ability Resource. The Data Core will ensure that any new measures can be included within the automated data processing pipeline, including ensuring that the measures are well-defined using JSON schemas so that the data are self-describing. This allows the data to be seamlessly integrated into the centralized data repository. Further, this repository allows data aggregation across studies, supporting novel and innovative “big data” approaches. The Data Core will enable learning systems to aggregate data and implement unsupervised and semi-supervised machine learning approaches across studies.
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