Data Science Core

数据科学核心

基本信息

批准号：
10620236
负责人：
Ming Li
金额：
$ 55.85万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
1996
资助国家：
美国
起止时间：
1996-12-01 至 2026-11-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10620236
关键词：
African ancestry Algorithms Animal Experimentation Animal Model Artificial Intelligence Basic Science Big Data Bioinformatics Biological Assay Biometry Biostatistical Methods Biostatistics Shared Resource Black Populations Blood Budgets California Cancer Center Support Grant Cancer Control Cancer Control Research Cancer Etiology Cells Charge Clinical Clinical Research Clinical Sciences Clinical Trials Comprehensive Cancer Center Custom DNA Data Data Analyses Data Science Data Science Core Databases Development Doctor of Philosophy Electronic Health Record Elements Evaluation Evolution Experimental Designs Fostering Funding Gene Expression Profile Genets Genomics Grant Image Individual Informatics Infrastructure Institution Laboratory Study Last Name Latino Population Leadership Machine Learning Malignant Neoplasms Malignant neoplasm of ovary Malignant neoplasm of prostate Maps Medidata Methodology Methods Mission Modeling Monitor Mosses Multiomic Data Mutation NCI Center for Cancer Research Names Neuroblastoma Observational Study Outcome Patient Outcomes Assessments Patients Pediatric Oncology Group Phenotype Play Population Prognosis Protocols documentation Publications Quality Control Questionnaires RNA Regulation Reporting Research Research Design Research Personnel Resource Sharing Review Committee Risk Risk Factors Role Safety Sampling Serous Services Source Specimen Statistical Methods Strategic Planning Structure System Techniques Tissues Training Activity Training and Education Translational Research Tumor Tissue Universities University of Southern California Norris Cancer Center Work anticancer research cancer epidemiology cancer health disparity clinical trial protocol computerized data processing data acquisition data integration data quality design electronic health information epigenomics genome wide association study immune cell infiltrate improved inquiry-based learning insight liquid biopsy member men monitoring device multi-ethnic novel novel strategies ovarian neoplasm programs recruit risk stratification tool trait tumor tumor microenvironment wireless sensor

项目摘要

PROJECT SUMMARY – Data Science Shared Resource The mission of the Data Science Shared Resource (DSC) of the USC Norris Comprehensive Cancer Center (NCCC) is to provide integrated state-of-the-art biostatistics and clinical research informatics support for cancer research spanning basic and translational science to clinical studies, and cancer etiology to cancer control. DSC members work with investigators on the design, conduct, analysis, and reporting of cancer research, and play a key role in clinical trials protocol review and study monitoring in the NCCC. As such, the DSC serves as a key foundational element in the Data Science component of the Strategic Plan, enabling infrastructure and data platforms for all NCCC Research Programs. NCCC recruited Ming Li PhD as DSC Director and David Birtwell MSE as Co-Director with oversight of DSC by NCCC Administration. A major development in this grant period, DSC now expands beyond traditional biostatistics services to include clinical research informatics services to integrate data from electronic health records to -omics platforms for analysis. DSC applies advanced and novel statistical methods to these data, including artificial intelligence/machine learning for discovery of underlying risk factors, prediction of population level risk, and clinical decision algorithms and tools. During the current grant period (2015-2020), 88 NCCC members representing all five programs utilized the DSC, resulting directly in 278 publications and 13 funded cancer-related P and U grants. The anticipated annual budget of DSC in the first year of the next grant cycle is $1,548,658, yet the CCSG request is $379,255. Accordingly, DSC leverages extensive institutional and recharge support and seeks only 24% from CCSG funds.

项目摘要 - 数据科学共享资源 USC Norris综合癌症中心的数据科学共享资源（DSC）的任务（NCCC）是为癌症提供综合的最新生物统计学和临床研究信息支持。研究涵盖基础科学和转化科学的临床研究，以及癌症的病因对癌症控制。 DSC 成员与调查人员合作进行癌症研究的设计，进行，分析和报告，并发挥 NCCC中的临床试验协议审查和研究监测中的关键作用。因此，DSC充当钥匙战略计划的数据科学组成部分中的基础元素，实现基础架构和数据所有NCCC研究计划的平台。 NCCC招募了Ming Li PhD担任DSC主任和David Birtwell MSE作为NCCC管理对DSC监督的联合指导。在这一赠款期间的重大发展， DSC现在扩大了传统生物统计学服务，包括临床研究信息服务服务从电子健康记录到 - 组平台的集成数据进行分析。 DSC应用高级和新颖这些数据的统计方法，包括用于发现潜在风险的人工智能/机器学习因素，人口水平风险的预测以及临床决策算法和工具。在当前赠款期间时期（2015-2020），有88名代表所有五个计划的NCCC成员都使用了DSC，直接在278中导致出版物和13个资助与癌症有关的P和U赠款。 DSC的预期年度预算在第一个下一个赠款周期的年份为$ 1,548,658，但CCSG请求为379,255美元。根据DSC的利用广泛的机构和充值支持，仅从CCSG资金中寻求24％。