Data Science and Statistics Core
Data Science and Statistics Core
批准号:
10549489
负责人:
Colin Worby
金额:
$44.5万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-11 至 2028-04-30
关键词:
BioinformaticsBiomedical ResearchBiometryCatalogsCollaborationsCommunicable DiseasesComplexComputational BiologyConsultationsDataData ScienceData Science CoreData SetData Storage and RetrievalDevelopmentEnsureEnvironmentEpidemiologyEquipment and supply inventoriesEvaluationGenomicsGoalsInfrastructureInstitutionLeadershipMethodologyMethodsModelingNomenclatureNursing HomesOutputPositioning AttributePreventionProspective StudiesResearchResearch PersonnelResearch Project GrantsResolutionResourcesRetrospective StudiesSamplingSecureSiteSoftware ToolsStatistical ModelsSumWorkanalytical toolcloud basedcomplex datacomputing resourcesdata accessdata dictionarydata exchangedata hubdata managementdata sharingepidemiologic dataepidemiology studyexperiencegenomic datagenomic epidemiologyinnovationinsightmetagenomemicrobial genomicsmulti-drug resistant pathogenmultidisciplinarynovelnovel strategiespathogen genomicsprogramsstatisticssuccesssynergismterabytetransmission process
中文摘要
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英文摘要
Abstract
Data Sciences and Statistics Core
The Data Sciences and Statistics Core (DSSC) will be a multi-site core that integrates experts in data
management, biostatistics, epidemiology and pathogen genomics. First, the DSSC will serve as an inventory
hub for all data associated with this program, including sample inventory, epidemiologic data, and microbial
genomic sequence data. With complex epidemiologic data and terabytes of genomic sequence data from over
16,000 isolates and nearly 3,000 plate metagenomes, a detailed inventory is essential to ensure organized
access. Second, the DSSC will be a data sharing hub across all Projects. The DSSC will be responsible for
facilitating secure and frictionless data transfer between Projects, maintaining consistent nomenclature across
data types, as well as detailed data dictionaries. This resource will be essential to enable synergistic
collaboration between researchers across multiple institutions and projects, working with large, complex
datasets. Third, the DSSC will serve as an innovation hub for integrating biostatistics traditionally used for
epidemiologic studies with computational biology for genomic analysis. Researchers with expertise in statistical
modeling, epidemiology and bioinformatics will work closely to develop novel methodology for the
simultaneous analysis of complex epidemiological and genomic data. The DSSC will provide data science and
biostatistical expertise across all projects. This will enhance the synergy among the projects by unifying data
and statistical consultation. In convening an integrated core with expertise in biostatistics, computational
biology, epidemiology, and genomics, we will form a unique and powerful platform for developing novel
approaches and provide the clearest view of multidrug resistant organism (MDRO) carriage and transmission
within nursing homes (NHs) to date.
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