Biostatistics & Informatics Shared Resource

生物统计学

• 批准号: 9750030
• 负责人: Byron J. Gajewski
• 金额: $ 27.9万
• 依托单位: UNIVERSITY OF KANSAS MEDICAL CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9750030
• 关键词: Animals; Area; Award; Basic Science; Bass; Bioinformatics; Biometry; Cancer Center; Cancer Center Support Grant; Case Report Form; Clinical; Clinical Research; Clinical Trials; Collaborations; Computer Analysis; Computer software; Core Facility; Data; Data Analyses; Data Collection; Data Reporting; Data Science; Data Set; Databases; Development; Educational workshop; Ensure; Exposure to; Faculty; Genetic; Genomics; Goals; Grant; High Performance Computing; Human; Imagery; Informatics; Information Systems; Kansas; Maintenance; Malignant Neoplasms; Manuals; Methodology; Methods; Mission; Outcome; Pathway Analysis; Play; Reproducibility; Research; Research Activity; Research Assistant; Research Design; Research Personnel; Research Project Grants; Research Support; Research Training; Resource Sharing; Resources; Role; Sampling; Services; Specimen; Standardization; Statistical Data Interpretation; Students; System; Systems Biology; Technology; Time; Training; Translational Research; Universities; Work; anticancer research; cancer genomics; clinical database; collaborative approach; cost effective; data management; design; electronic data; faculty research; graduate student; high throughput technology; informatics shared resource; interdisciplinary approach; member; molecular scale; pre-clinical; repository; research study; skills; synergism; tool; translational cancer research

Biostatistics & Informatics Shared Resource – Project Summary The Biostatistics and Informatics Shared Resource (BISR) plays an essential role in the research activities of the University of Kansas Cancer Center (KUCC) by supporting the data science needs of KUCC investigators. The BISR is led by Brooke L. Fridley, an accomplished biostatistician with a long-standing commitment to cross-disciplinary collaborations, and includes eight additional faculty members with specialized cancer biostatistics research expertise. The BISR assists KUCC investigators by providing expertise in study design, statistical oversight and analyses, clinical research informatics and data management, electronic data collection, bioinformatics, statistical genomics and investigator initiated clinical trials. The BISR consists of faculty and staff, whose diverse expertise and skill sets span the areas of biostatistics, bioinformatics and informatics. The considerable overlap between these three areas allow researchers to work with a single shared resource for all their data collection, analytics and statistical analysis needs. The synergy between the areas that encompass “data science” enables the BISR to support a wide-range of quality services, and in a timely and cost-effective manner. To support the research activities of KUCC members, the specific aims of this resource are to: 1) provide study design and statistical support and expertise; 2) provide bioinformatics and statistical genetics support and expertise; 3) provide informatics support for data collection and management; 4) develop and support on-going research enabling technologies, platforms and tools; and 5) educate students, fellows and faculty members of KUCC on data science and reproducible research ideas and methods used in cancer research. During the last cycle of the CCSG grant, BISR services were used by 101 KUCC members for 240 grant submissions (with subsequent awarded grants providing 34% of total support for BISR faculty and staff) and 545 projects involving data science expertise. As an essential shared resource for KUCC, the BSR leverages substantial institutional support and requests only 11% support from the CCSG.

生物统计学和信息学共享资源 - 项目摘要 生物统计学和信息学共享资源（BISR）在研究活动中起着至关重要的作用 堪萨斯大学癌症中心（KUCC）通过支持KUCC研究人员的数据科学需求。 BISR由布鲁克·L·弗里德利（Brooke L. 跨学科合作，包括八名专业癌症的教职员工 生物统计研究专业知识。 BISR通过提供研究设计专业知识来协助KUCC研究人员 统计监督和分析，临床研究信息和数据管理，电子数据 收集，生物信息学，统计基因组学和研究者启动了临床试验。 BISR由教职员工组成，教职员工的潜水专业知识和技能涵盖了生物统计学的领域， 生物信息学和信息。这三个领域之间的相当重叠使研究人员可以工作 凭借其所有数据收集，分析和统计分析需求的单一共享资源。协同作用 在包含“数据科学”的领域之间使BISR能够支持广泛的质量 服务，以及及时且具有成本效益的方式。为了支持KUCC成员的研究活动， 该资源的具体目的是：1）提供研究设计，统计支持和专业知识； 2）提供 生物信息学和统计遗传学支持和专业知识； 3）为数据收集提供信息支持 和管理； 4）开发和支持正在进行的研究促进技术，平台和工具；和 5）教育数据科学和可重复研究思想的KUCC的学生，研究员和教职员工 和癌症研究中使用的方法。 在CCSG赠款的最后一个周期中，使用BISR服务由 101名KUCC成员有240个赠款提交（随后授予的赠款提供了总计的34％ 支持BISR教职员工）和545个涉及数据科学专业知识的项目。作为一个必不可少的共享 KUCC的资源，BSR利用了大量的机构支持，仅要求提供11％的支持 CCSG。