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iDASH: Integrating Data for Analysis, Anonymization, and Sharing

iDASH: Integrating Data for Analysis, Anonymization, and Sharing
iDASH:集成数据进行分析、匿名化和共享
批准号:
8697113
负责人:
LUCILA OHNO-MACHADO
金额:
$335.02万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-20 至 2017-09-30
关键词:
AcuteAddressAlgorithmsAnticoagulationAutomobile DrivingBehavioralBehavioral ResearchBiologicalBiomedical ComputingBiomedical ResearchCaliforniaChildCollaborationsCollectionCommunicationCommunitiesComplexComputational algorithmComputer softwareComputersControl GroupsCoronary arteryDataData AnalysesData CollectionData CompressionData SourcesData Storage and RetrievalDetectionDevelopmentDevicesDimensionsDiseaseDocumentationEducational workshopElectronic Health RecordEnsureEnvironmentEnvironmental MonitoringEventExposure toFailureFeedbackGene Expression ProfileGeneticGenetic PolymorphismGenetic RiskGenomeGenomicsGoalsHealthHealth ServicesHeart DiseasesHumanIndividualInfectious AgentInformation TechnologyInformed ConsentInstitutesInstitutionInternetInterventionKnowledgeLaboratoriesLeadLeadershipLongevityMaintenanceMassive Parallel SequencingMeasurementMedical centerMethodsMicroRNAsModelingMolecularMolecular ProfilingMonitorMucocutaneous Lymph Node SyndromeObesityOntologyOutcomePathway interactionsPatientsPatternPerformancePharmaceutical PreparationsPhasePhenotypePhysical activityPoliciesPopulationPractice ManagementPredispositionPrivacyProcessProspective StudiesPublicationsQuality ControlReadingRegulationReportingResearchResearch DesignResearch InfrastructureResearch PersonnelResource SharingResourcesRetrospective StudiesRiskRisk AdjustmentSafetyScheduleScienceScientistSecureSecurityServicesSideSoftware ToolsSourceStagingSystemTechnologyTelecommunicationsTrainingTraining and InfrastructureTranslational ResearchUniversitiesValidationVisionWorkabstractingbiomedical informaticscollaborative trialcomputer infrastructurecomputer sciencecomputerized data processingcomputerized toolscomputing resourcescyber infrastructuredata exchangedata integrationdata integritydata sharingdesignexperiencehealth information technologyimprovedinfrastructure developmentinnovationinsightinterestmolecular phenotypemultidisciplinarynew technologyopen sourcepatient privacypopulation basedpost-marketpreventpublic health relevancerisk variantsensorsimulationsupercomputersymposiumtooltool developmenttranscriptomicsuser-friendly

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中文摘要
翻译
描述(由申请人提供):我们建议创建IDASH,一个国家生物医学计算中心,它将开发新的算法、开源工具、计算基础设施和服务,使全国的生物医学和行为研究人员能够整合数据进行分析、匿名化和共享。IDASH将通过提供一个安全、保护隐私的环境来解决研究进展中的基本挑战,研究人员可以在其中分析基因组,转录组学和高度注释的表型数据。利用圣地亚哥超级计算机中心(SDSC)的高性能能力和加州电信和信息技术研究所开发的可扩展网络基础设施,iDASH将提供工具和系统的协同应用,以推进研究和改善人类健康。iDASH将专注于通过匿名化、数据模拟和知情同意管理系统来保护隐私。它将通过开发跨时间和空间维度的数据注释和集成的新工具来关注数据分析,并开发用于罕见事件检测和风险调整的算法。为了从大规模并行测序中高效分析短读,将开发压缩算法和新的基因组查询系统。
英文摘要
DESCRIPTION (provided by applicant): We propose to create IDASH, a national center for biomedical computing that will develop new algorithms, open-source tools, computational infrastructure and services that will enable biomedical and behavioral researchers nationwide to integrate Data for Analysis, Anonymization, and Sharing, IDASH will address fundamental challenges to research progress by providing a secure, privacy-preserving environment in which researchers can analyze genomic, transcriptomic and highly annotated phenotypical data. Leveraging the high performance capabilities of the San Diego Supercomputer Center (SDSC), and scalable cyberinfrastructure developed by the California Institute for Telecommunications and Information Technology, iDASH will provide synergistic application of tools and systems to advance research and improve human health. iDASH will focus on privacy protection through anonymization, data simulation, and an informed consent management system. It will focus on data analysis through the development of new tools for data annotation and integration across temporal and spatial dimensions, and develop algorithms for rare event detection and risk adjustment. To enable efficient analysis of short-reads from massively parallel sequencing, compression algorithms and a new genomic query system will be developed. Three Driving Biological Projects that span the molecular-individual-population spectrum will motivate, inform and support tool development: (1) Molecular Phenotyping of Kawasaki Disease; (2) Post-Marketing Pharmacosurveillance of Anticoagulation Agents; (3) Individualized Intervention to Enhance Physical Activity. iDASH trainees will complete core biomedical informatics courses and will have options for short- and long-term graduate training at San Diego State University and UCSD. We will collaborate with other NCBCs and disseminate tools via annual workshops for users and developers, presentations at major conferences, and scientific publications. We will develop a comprehensive web portal to download tools, upload data, and obtain documentation and user-friendly training materials. An experienced leadership team will use effective project management practices to support collaboration as well as monitor and ensure progress toward iDASH goals.
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Admin Core (FABRIC)
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    10662369
  • 项目类别:
  • 资助金额:
    $116.9万
  • 财政年份:
    2023
  • 负责人:
    LUCILA OHNO-MACHADO
  • 依托单位:
A FAIR Bridge2AI Center (FABRIC)
  • 批准号:
    10745613
  • 项目类别:
  • 资助金额:
    $146.8万
  • 财政年份:
    2023
  • 负责人:
    LUCILA OHNO-MACHADO
  • 依托单位:
A FAIR Bridge2AI Center (FABRIC)
  • 批准号:
    10662351
  • 项目类别:
  • 资助金额:
    $238.62万
  • 财政年份:
    2023
  • 负责人:
    LUCILA OHNO-MACHADO
  • 依托单位:
A FAIR Bridge2AI Center (FABRIC)
  • 批准号:
    10895014
  • 项目类别:
  • 资助金额:
    $61.01万
  • 财政年份:
    2023
  • 负责人:
    LUCILA OHNO-MACHADO
  • 依托单位:
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