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
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数据与统计分析核心摘要
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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