Program 08 Cancer Data Sciences

癌症数据科学计划 项目总结/摘要 DF/HCC癌症数据科学计划（CDS）促进了广泛的统计研究， 计算和数学问题，出现在癌症调查。兴趣，专业知识， 成员的研究方法直接或通过以下方式为计划和DF/HCC的目标做出贡献 计划成员与其他人在人群、临床和基础癌症方面的跨学科项目 research.对创新、资助研究、正规培训和跨学科的关注 协作将CDS计划与生物统计学共享资源的服务重点区分开来。 该方案的62个成员（46个小学和16个中学）代表所有7个区/HCC机构和13个 学术部门。2019年，该计划的同行评审拨款为920万美元， NCI的直接费用和其他赞助商的400万美元。在当前融资期间，主要CDS 项目成员发表了1,123篇与癌症相关的论文。其中，37%是机构间的，8%是 57%是两个或两个以上DF/HCC成员之间的计划内合作。 该计划的具体目标是：1）开发和传播数据科学，以应对新兴的 研究设计、数据组织、数据整合和人群数据分析方面未满足的需求， 临床和基础癌症研究，2）开发创新的新软件， 这些方法。为了实现这些目标的全部潜力，计划成员在各个领域广泛合作， 帮助实现癌症中心的战略目标。我们还致力于装备新一代的 研究人员，包括那些来自代表性不足的少数民族背景，与创造力和定量 解决癌症难题所需的技能。

Cancer Data Sciences Program Project Summary / Abstract The DF/HCC Program in Cancer Data Sciences (CDS) fosters a broad range of research in statistical, computational, and mathematical questions that arise in cancer investigations. The interests, expertise, and research approaches of the members contribute to the aims of the Program and DF/HCC directly and through inter-disciplinary projects of Program members with others across population, clinical, and basic cancer research. The focus on innovation, grant-supported research, formal training, and transdisciplinary collaboration distinguish the CDS Program from the service focus of the Biostatistics Shared Resource. The Program’s 62 members (46 primary and 16 secondary) represent all seven DF/HCC institutions and 13 academic departments. In 2019, peer-reviewed grant funding attributed to the Program was $9.2 million in direct costs from the NCI and $4.0 million from other sponsors. During the current funding period, primary CDS Program members published 1,123 cancer-relevant papers. Of these, 37% were inter-institutional, 8% were intra-programmatic and 57% were inter-programmatic collaborations between two or more DF/HCC members. The Program’s Specific Aims are to 1) develop and disseminate Data Science that responds to emerging unmet needs regarding study design, data organization, data integration, and data analysis in population, clinical, and basic cancer research studies, and 2) develop innovative new software for implementation of these methods. To realize the full potential of these Aims, Program members collaborate extensively across the consortium to help achieve the Cancer Center’s strategic goals. We also aim to equip a new generation of researchers, including those from underrepresented minority backgrounds, with the creativity and quantitative skills necessary to tackle difficult cancer problems.