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
摘要
数据科学和统计核心
数据科学和统计核心(DSSC)将是一个多站点核心,整合数据专家
管理、生物统计学、流行病学和病原体基因组学。首先,DSSC将作为一个清单,
与该计划相关的所有数据中心,包括样本库存、流行病学数据和微生物
基因组序列数据。有了复杂的流行病学数据和TB级的基因组序列数据,
16,000个分离株和近3,000个平板宏基因组,详细的库存对于确保组织化至关重要
access.第二,DSSC将成为所有项目的数据共享中心。DSSC将负责
促进项目之间的安全和无摩擦的数据传输,
数据类型,以及详细的数据字典。这一资源将是至关重要的,
跨多个机构和项目的研究人员之间的协作,
数据集。第三,DSSC将作为一个创新中心,整合传统上用于
流行病学研究与计算生物学的基因组分析。具有统计学专业知识的研究人员
建模,流行病学和生物信息学将密切合作,开发新的方法,
同时分析复杂的流行病学和基因组数据。DSSC将提供数据科学和
所有项目的生物统计专业知识。这将通过统一数据加强项目之间的协同作用
统计咨询。在召集具有生物统计学专门知识的综合核心时,
生物学、流行病学和基因组学,我们将形成一个独特而强大的平台,用于开发新的
方法,并提供最清晰的多药耐药生物体(MDRO)的携带和传播
在养老院(NHs)内。
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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