Cancer Research Informatics Shared Resource Facility

癌症研究信息学共享资源设施

• 批准号: 10204887
• 负责人: Eric B. Durbin
• 金额: $ 18.02万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-08 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10204887
• 关键词: Adopted; Appalachian Region; Basic Science; Big Data; Bioinformatics; Biometry; Cancer Center; Cancer Center Support Grant; Cancer Control; Catchment Area; Cellular biology; Clinical; Clinical Cancer Center; Clinical Sciences; Clinical Treatment; Clinical Trials; Collaborations; Communities; Computational Science; Computer software; Data; Data Reporting; Data Set; Data Sources; Data Storage and Retrieval; Databases; Development; Educational workshop; Ensure; Epigenetic Process; Evaluation Research; Faculty; Foundations; Funding; Genomic Instability; Goals; Grant; Healthcare; High Performance Computing; Human; Informatics; Information Technology; Infrastructure; Institutes; Kentucky; Knowledge; Knowledge Discovery; Leadership; Machine Learning; Maintenance; Malignant Neoplasms; Medicine; Mentors; Mentorship; Metabolism; Methods; Mission; Molecular; NCI Center for Cancer Research; National Cancer Institute; Natural Language Processing; Outcome Measure; Pathology; Patient-Focused Outcomes; Patients; Peer Review; Phenotype; Population Research; Preparation; Research; Research Personnel; Resource Informatics; Resources; Role; SEER Program; Science; Scientist; Services; Signal Transduction; Source; Supporting Cell; Technology; Therapeutic; Therapeutic Studies; Tissue Microarray; Training and Education; Translational Research; Treatment outcome; United States; Universities; analytical method; anticancer research; biomedical informatics; cancer cell; cancer genomics; cancer prevention; clinical center; clinical decision support; clinical decision-making; cohort; data dissemination; data ecosystem; data exchange; data management; data quality; data sharing; data standards; data warehouse; design; diverse data; drug discovery; evidence base; genomic biomarker; handheld mobile device; improved; informatics shared resource; informatics tool; innovation; interoperability; machine learning method; member; mortality; multidimensional data; national surveillance; neoplasm registry; next generation sequencing; novel; population based; precision medicine; programs; recruit; research and development; research data dissemination; response; screening; surveillance data; tumor

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.

项目总结/摘要 癌症研究信息学共享资源设施（CRI SRF）作为Markey癌症中心 （MCC）-开发和应用信息学方法和技术以使 通过策展和开放研究人员访问来自广泛的高质量数据来促进科学进步 各种机构来源。CRI扩大了MCC的数据生态系统，以覆盖MCC的整个流域 肯塔基州地区通过与高质量的基于人口的数据的联系和整合， 监测流行病学和最终结果（SEER）肯塔基州癌症登记处。加强和扩大 通过CCSG的支持和实施CCSG上一次审查建议的变化，CRI已经 在为癌症中心提供全面的信息服务方面具有高度创新性 investigators.服务大致分为：1）从以患者为中心的 癌症研究数据仓库; 2）MCC分子肿瘤委员会的临床决策支持研究; 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，以确保完整和 准确的临床试验和生物样本数据; 5）自动筛选符合临床试验条件的患者 招募; 6）人类生物标本的鉴定和注释; 7）软件和数据库开发 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;以及9） 指导、培训和教育。103个管理协委会成员利用了CRI服务，其中55个成员（53%） 是经过同行评审的资助成员CRI基础设施和数据管理应用程序可实现高效的 研究计划和其他SRF之间的互动，如基础科学研究人员的门户网站， 获取生物信息学分析结果。CRI开发和支持关键信息技术， 数据库、数据仓库、NLP、深度表型分析、HPC、移动终端应用程序、数据共享和数据 传播。CRI密切协调机构信息学资源的获取和提供， 与肯塔基州大学（英国）生物医学信息学研究所、英国生物医学中心 临床和转化科学，英国医疗保健信息技术和英国中心 计算科学CRI与信息学卓越中心建立了战略联盟， 国家机构，以加强肯塔基州的数据，并合作开发信息学工具和数据 为更大的癌症研究社区服务的标准。此外，CRI的教职员工作为国家 癌症数据交换标准和创新软件应用的信息学领导者， 美国的CRI由Eric B博士领导。Durbin（CP）与生物统计学紧密结合， 生物信息学;生物标本获取和转化病理学;以及通过 提供必要的信息服务，以加强MCC SRF的其他服务。