Program 08 Cancer Data Sciences

癌症数据科学计划 项目摘要/摘要 DF/HCC癌症数据科学计划(CDS)促进了在统计学、 在癌症研究中出现的计算和数学问题。兴趣、专业知识和 成员的研究方法直接和通过以下方式为项目和DF/HC的目标做出贡献 计划成员与其他人在人口、临床和基础癌症领域的跨学科项目 研究。注重创新、资助研究、正规培训和跨学科 协作将CDS计划与生物统计共享资源的服务重点区分开来。 该方案的62名成员(46名主要成员和16名次要成员)代表了所有7个DF/CC机构和13个 学术部门。2019年，用于该方案的同行审查赠款资金为920万美元 NCI的直接成本和其他赞助商的400万美元。在本供资期间，初级CDS 项目成员发表了1123篇与癌症相关的论文。其中37%是跨机构的，8%是跨机构的 方案内协作和57%是两个或更多DF/CC成员之间的方案间协作。 该计划的具体目标是1)开发和传播数据科学，以响应新兴 在人口研究设计、数据组织、数据集成和数据分析方面未得到满足的需求， 临床和基础癌症研究，以及2)开发创新的新软件，以实施 这些方法。为了实现这些目标的全部潜力，计划成员在以下方面进行广泛合作 该财团帮助实现癌症中心的战略目标。我们的目标还包括装备新一代的 研究人员，包括那些来自代表不足的少数族裔背景的人，具有创造性和量化 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.