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Cancer Research Informatics Shared Resource Facility

Cancer Research Informatics Shared Resource Facility
癌症研究信息学共享资源设施
批准号:
10470106
负责人:
Eric B. Durbin
金额:
$18.02万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-07-08 至 2023-06-30
关键词:
AdoptedAppalachian RegionBasic ScienceBig DataBioinformaticsBiometryCancer CenterCancer Center Support GrantCancer ControlCatchment AreaCellular biologyClinicalClinical Cancer CenterClinical SciencesClinical TreatmentClinical TrialsCollaborationsCommunitiesComputational ScienceComputer softwareDataData ReportingData SetData SourcesData Storage and RetrievalDatabasesDevelopmentEducational workshopEnsureEpigenetic ProcessEvaluation ResearchFacultyFoundationsFundingGenomic InstabilityGoalsGrantHealthcareHigh Performance ComputingHumanInformaticsInformation TechnologyInfrastructureInstitutesKentuckyKnowledgeKnowledge DiscoveryLeadershipMachine LearningMaintenanceMalignant NeoplasmsMedicineMentorsMentorshipMetabolismMethodsMissionMolecularNCI Center for Cancer ResearchNational Cancer InstituteNatural Language ProcessingOutcome MeasurePathologyPatient-Focused OutcomesPatientsPeer ReviewPhenotypePopulation ResearchPreparationResearchResearch PersonnelResource InformaticsResourcesRoleSEER ProgramScienceScientistServicesSignal TransductionSourceSupporting CellTechnologyTherapeutic StudiesTissue MicroarrayTraining and EducationTranslational ResearchTreatment outcomeUnited StatesUniversitiesanalytical methodanticancer researchbiomedical informaticscancer cellcancer genomicscancer preventionclinical centerclinical decision supportclinical decision-makingcohortdata disseminationdata ecosystemdata exchangedata managementdata qualitydata sharingdata standardsdata warehousedesigndiverse datadrug discoveryevidence basegenomic biomarkerhandheld mobile deviceimprovedinformatics shared resourceinformatics toolinnovationinteroperabilitymachine learning methodmembermortalitymultidimensional datanational surveillanceneoplasm registrynext generation sequencingnovelpopulation basedprecision medicineprogramsrecruitresearch and developmentresearch data disseminationresponsescreeningsurveillance datatranslational therapeuticstumor

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中文摘要
翻译
项目摘要/摘要 癌症研究信息学共享资源设施(CRI SRF)充当Markey癌症中心 (MCC)-托管资源,开发和应用信息学方法和技术以支持 通过管理和开放研究人员获取来自广泛的高质量数据来推动科学进步 各种制度来源。CRI已将MCC的数据生态系统扩展到覆盖MCC的整个集水区 通过链接和整合肯塔基州的高质量人口数据 监测流行病学和最终结果(SEER)肯塔基州癌症登记处。增强和扩展 通过CCSG支持和实施上次CCSG审查中建议的更改,CRI 在为癌症中心提供随时可用的全面信息学服务方面具有很高的创新性 调查人员。服务大致分为:1)提供以患者为中心的综合数据 癌症研究数据仓库;2)MCC分子肿瘤委员会临床决策支持研究;3) 为生物信息学分析和机器提供高性能计算(HPC)和大数据存储支持 自然语言处理(NLP)的学习方法;4)数据管理,确保完整和 准确的临床试验和生物谱数据;5)自动筛选符合临床试验条件的患者 征聘;6)鉴定和注释人类生物标本;7)软件和数据库开发 用于研究和数据传播;8)为研究规划和赠款准备提供信息学支持;9) 指导、培训和教育。已有103个MCC成员使用CRI服务,其中55个(53%) 都是经过同行评审的资助成员。CRI基础架构和数据管理应用程序可实现高效 研究计划与其他战略框架之间的互动,例如为基础科学研究人员提供的门户 访问生物信息学分析结果。CRI开发和支持关键的信息学技术 数据库、数据仓库、NLP、深度表型、HPC、移动设备应用程序、数据共享和数据 传播。中国信息研究所密切协调机构信息学资源的获取和提供。 与肯塔基大学(英国)生物医学信息学研究所、英国 临床和转化科学,英国医疗保健信息技术和英国研究中心 计算科学。CRI已与卓越的信息学中心和 加强肯塔基州数据并协作开发信息学工具和数据的国家机构 为更大的癌症研究社区服务的标准。此外,CRI的教职员工还担任国家 信息学在癌症数据交换标准和创新软件应用方面处于领先地位 美国。CRI由Eric B.Durbin(CP)博士领导,与生物统计学和 生物信息学;生物基因组学采购和翻译病理学;以及肿瘤基因组学 提供基本的信息学服务,以增强其他MCC SRF服务产品。
英文摘要
PROJECT SUMMARY/ABSTRACT The Cancer Research Informatics Shared Resource Facility (CRI SRF) serves as a Markey Cancer Center (MCC)-managed resource that develops and applies informatics methods and technologies to enable the advancement of science through the curation and open investigator access to high quality data from a wide variety of institutional sources. CRI has expanded MCC's data ecosystem to cover MCC's entire catchment area of Kentucky through linkages and integration with high quality population-based data from the Surveillance Epidemiology and End Results (SEER) Kentucky Cancer Registry. Enhanced and expanded through CCSG support and implementing changes recommended from the last CCSG review, the CRI has been highly innovative in the provision of comprehensive informatics services readily available to cancer center investigators. Services are broadly categorized into: 1) provision of integrated data from the patient-centric cancer research data warehouse; 2) research in clinical decision support for MCC's Molecular Tumor Board; 3) high-performance computing (HPC) and big data storage support for bioinformatics analyses and machine learning approaches to natural language processing (NLP); 4) data management to ensure complete and accurate clinical trial and biospecimen data; 5) automated screening of eligible patients for clinical trial recruitment; 6) identification and annotation of human biospecimens; 7) software and database development for research and data dissemination; 8) informatics support for study planning and grant preparation; and 9) mentorship, training and education. CRI services have been utilized by 103 MCC members, 55 of whom (53%) are peer-reviewed funded members. CRI infrastructures and data management applications enable efficient interactions among the Research Programs and other SRFs such as a portal for basic science researchers to access bioinformatics analysis results. CRI develops and supports critical informatics technologies in databases, data warehousing, NLP, deep phenotyping, HPC, mobile device apps, data sharing and data dissemination. CRI closely coordinates the acquisition and provision of institutional informatics resources in collaboration with the University of Kentucky (UK) Institute for Biomedical Informatics, the UK Center for Clinical and Translational Science, UK HealthCare Information Technology and the UK Center for Computational Sciences. CRI has established strategic alliances with informatics centers of excellence and national agencies to enhance Kentucky data and to collaboratively develop informatics tools and data standards serving the greater cancer research community. In addition, CRI faculty and staff serve as national informatics leaders in cancer data exchange standards and innovative software applications adopted across the United States. CRI is led by Dr. Eric B. Durbin (CP) and is tightly integrated with the Biostatistics and Bioinformatics; Biospecimen Procurement and Translational Pathology; and Oncogenomics SRFs through the provision of essential informatics services that enhance the other MCC SRF service offerings.
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Natural Language Processing Platform for Cancer Surveillance
  • 批准号:
    10451798
  • 项目类别:
  • 资助金额:
    $64.97万
  • 财政年份:
    2019
  • 负责人:
    Eric B. Durbin
  • 依托单位:
Natural Language Processing Platform for Cancer Surveillance
  • 批准号:
    9980862
  • 项目类别:
  • 资助金额:
    $41.07万
  • 财政年份:
    2019
  • 负责人:
    Eric B. Durbin
  • 依托单位:
Natural Language Processing Platform for Cancer Surveillance
  • 批准号:
    10589385
  • 项目类别:
  • 资助金额:
    $7.5万
  • 财政年份:
    2019
  • 负责人:
    Eric B. Durbin
  • 依托单位:
Natural Language Processing Platform for Cancer Surveillance
  • 批准号:
    10441803
  • 项目类别:
  • 资助金额:
    $66.02万
  • 财政年份:
    2019
  • 负责人:
    Eric B. Durbin
  • 依托单位:
海外基金