Data Coordination Core
Data Coordination Core
批准号:
10708022
负责人:
Allison Heath
金额:
$234.8万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
未结题
起止时间:
2017-09-26 至 2025-08-31
关键词:
AccelerationAgreementAutomationBenchmarkingBioinformaticsChildChildhoodClinicalClinical DataCollaborationsCollectionCommunitiesComputer softwareCongenital AbnormalityDataData AnalysesData CollectionData ReportingData SetData SourcesDevelopmentDiseaseDocumentationEnvironmentFAIR principlesFamilyFast Healthcare Interoperability ResourcesFundingGeneticGenetic AnnotationGenomeGenomicsGenotypeHumanIndividualIngestionIntakeInvestigationLanguageLinkMalignant Childhood NeoplasmMalignant NeoplasmsManualsMetadataMissionModalityNatureOntologyPharmaceutical PreparationsPhenotypeProcessPublic DomainsReportingReproducibilityResearchResearch PersonnelResourcesServicesSourceStandardizationTherapeuticTrainingUnited States National Institutes of HealthVariantVisionWorkanalytical toolbioinformatics pipelineclinical translationcommunity buildingdata curationdata ecosystemdata exchangedata explorationdata formatdata ingestiondata integrationdata interoperabilitydata repositorydata resourcedata warehousedatabase of Genotypes and Phenotypesdiverse dataempowermentepigenomicsexperiencegenetic variantgenome resourcegenomic dataimprovedinterestinteroperabilitymodel organismmultimodal datanoveloutreachphenotypic dataprogramsrepositorysuccesstooltranscriptome sequencingusability
中文摘要
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英文摘要
PROJECT SUMMARY
The Kids First Data Coordinating Core (DCC) supports the data intake, management, and release for the
largest pediatric genomic resource available to the public. This currently includes 40 projects, 48,000
genomes, and 23 released studies as well as other relevant interoperable datasets. The DCC is responsible for
ingestion, harmonization, curation and provisioning data to the Kids First Data Resource Core (DRC) in
lossless and high utility formats. This includes retaining source data and requisite metadata for scientific
discovery across a wide range of cancer and birth defect research domains. Through this experience, we have
developed the Kids First “Data Tracker” application as a key tool for collaboratively working with data
generators, analysts, investigators and NIH program staff for effective data coordination. The DCC will expand
the application based on the use cases around clinical data ingestion, AWS S3 storage management, status
reporting, workflow automation and dbGaP submissions. The data exchange endpoint between the DCC and
DRC will be a FHIR service and provide the ability for other interoperable data resources to integrate with Kids
First data. We will continue to improve on our genomic data best practices and expand the portfolio of pipelines
available for long-read sequencing, epigenomics and other data modalities as required for the Kids First
community. All bioinformatics pipeline development will leverage our experience building community-based
best practice workflows utilizing Common Workflow Language (CWL) and Docker so that they can be
reproducibly used by the community. Similarly, the DCC will continue to expand and improve on the
clinical/phenotypic data collection by building a standards-based curation toolkit that integrates with the Data
Tracker application. As the collection of Kids First variants scales to the level of tens of billions of variants, the
DCC will help support the community by building out easy to use workflows for variant filtering and incorporate
more expansive annotation that will allow researchers to more easily identify variants and clinical data of
further interest and investigation. The DCC will work hand in hand with the Kid First Administrative and
Outreach Core (AOC) to provide technical user support, training and other documentation to support the use of
the data, pipelines and other tools developed for Kids First to help empower and accelerate research and
discovery in the scientific community.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Deep Phenotyping Children with Congenital Anomalies and Cancer Enrolled in Project:EveryChild
-
批准号:10435096
-
项目类别:
-
资助金额:$17.97万
-
财政年份:2022
-
负责人:Allison Heath
-
依托单位:
Deep Phenotyping Children with Congenital Anomalies and Cancer Enrolled in Project:EveryChild
-
批准号:10613574
-
项目类别:
-
资助金额:$16.48万
-
财政年份:2022
-
负责人:Allison Heath
-
依托单位:
Enhancing the Kids First Platform’s Support for Collaborative Programs and Community Engagement
-
批准号:10854223
-
项目类别:
-
资助金额:$8.9万
-
财政年份:2017
-
负责人:Allison Heath
-
依托单位:
Data Coordination Core
-
批准号:10513123
-
项目类别:
-
资助金额:$234.83万
-
财政年份:2017
-
负责人:Allison Heath
-
依托单位:
Utilizing FHIR to expand the availability of interoperable clinical and phenotypic data to the pediatric research community
-
批准号:10876146
-
项目类别:
-
资助金额:$66.64万
-
财政年份:2017
-
负责人:Allison Heath
-
依托单位:
海外基金