Sharing canonical human stroke data
Sharing canonical human stroke data
批准号:
7559104
负责人:
A. Gregory Sorensen
金额:
$63.4万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-30 至 2011-08-31
关键词:
AcuteAddressAdultAlgorithmsArchivesBiomedical Informatics Research NetworkBlood VesselsBrain imagingCause of DeathCerebrovascular DisordersClinicalClinical DataComputer softwareDataData AnalysesData SetDatabasesDiabetes MellitusDiseaseEnsureEquipmentEvolutionGeneticGenomeGenotypeGoalsGuidelinesHeritabilityHumanImageImage AnalysisImpaired cognitionIndividualLeadLinkMetadataMethodologyMorbidity - disease rateMyocardial InfarctionOntologyPathogenesisPatientsPerfusionPhenotypePlayPopulationPreventionProcessResearchResearch InfrastructureResourcesRheumatoid ArthritisRisk FactorsRoleRunningSecondary PreventionServicesSiteSpeedStandardizationStrokeStroke preventionSystemTerminologyTrainingWhite Matter DiseaseWorkcohortcomputing resourcesdata portaldata sharingdatabase structuredistributed datagenetic variantgenome wide association studyimprovedmorphometryneuroimagingnovel therapeutic interventionprogramsprototypesuccesstool
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Despite significant progress in stroke prevention and its acute treatment, stroke remains the third leading
cause of death and the leading cause of adult morbidity worldwide. Fundamental advances in stroke will
require collecting and pooling advanced phenotype (e.g., neuroimaging) and genetic data from multiple
centers. Description of and access to the data will also require a common stroke-specific lexicon. We have
therefore initiated efforts to promote sharing and distribution of imaging and genetic data,
www.strokedatabase.org and www.strokegenetics.org, and a lexicographic categorization tool,
ccs.martinos.org. Using these portals, data and tools are available to individual research groups. We seek to
expand our ability to distribute data and tools by linking our efforts to the infrastructure provided by the
Biomedical Informatics Research Network (BIRN). We will initially distribute data using the BIRN service,
Extensible Neuroimaging Archive Toolkit (XNAT) Central, to insure our data compatibility with the BIRN Data
Repository (BDR). We will then work with BIRN domain experts to begin to incorporate stroke data specific
terms into the BIRN ontology to ensure successful port and distribution of our data using the BDR. Linking our
existing portals with BIRN resources has the potential to greatly facilitate data sharing which will benefit the
understanding of stroke and speed discovery of new therapeutic interventions.
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