Data and Resource Coordination Center for Cancer Prevention-Interception Targeted Agent Discovery Program

项目摘要/摘要：本申请是为了响应特别通知而提交的。 兴趣（NOSI）确定为NOT-CA-23-012。我们提议的数据和资源协调中心的目标是 （DRCC）应用程序是协调整个癌症预防-拦截靶向药物的活动 探索计划（CAP-IT），并管理、整合和传播所产生的数据和资源 通过网络。利用尖端的多学科团队方法，我们将支持CAP-IT， 发现分子或免疫靶向药物，以预防或阻断致癌过程 用于精确的癌症预防和拦截。我们的战略是提高CAP-IT的生产力 研究人员通过培养一个协作和协同的研究社区，加快CAP的进展， 通过减少获取分析专业知识的障碍进行IT研究，确保CAP-IT数据的可重复性， 部署数据采集和协调的最佳实践，并充分发挥CAP-IT活动的潜力 通过开发增强的工具，使更广泛的科学界能够共享资源。 首先，我们将提供一个集中的管理基础设施，以协调CAP-IT活动， 在我们运作良好的基础设施上，目前在NCI的保护伞下协调网络研究 癌症登月计划。第二，积极推进CAP-IT，开展跨联盟合作 互动，我们将利用我们在跨Moonshot外展方面的可证明的经验， Bioconductor数十年来在社区参与方面的记录。第三，我们将与各联合呼吁程序协调， IT中心的信息组，提供多学科的分析专业知识，以支持CAP-IT的协作 研究，利用罗斯韦尔公园CCSG的三个共享资源：生物统计学，生物信息学，生物医学 信息学.第四，我们将开发改进的数据整合和分析软件、数据库和工作流程， 提高CAP-IT的研究能力，利用我们在开发NIH支持的 Cancer Moonshot、Bioconductor和AnVIL生态系统。综上所述，我们设想我们的DRCC，在接近 与CAP-IT U 54中心和NCI工作人员的合作，将使我们能够支持高效和创新的 转化研究，以解决与精确癌症预防-拦截相关的显著未满足的需求。 拟议目标的主要交付成果将是行政和外联支助， 网络活动，促进网络协作，并与更广泛的社区进行互动（Aim 1）;确保CAP-IT生成的所有数据将使用可互操作的标准进行协调的工作流程 利用更广泛的癌症数据生态系统、分析工具和数据库，整合CAP-IT数据， 交叉研究分析和多学科分析支持，以加速CAP-IT研究进展（目标2）; 政策和基础设施，以确保CAP-IT生成的所有资源都可以在集中的 虚拟信息中心，所有资源将与更广泛的科学界共享（目标3）。

Project Summary/Abstract: This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-23-012. The goal of our proposed Data and Resource Coordinating Center (DRCC) application is to coordinate the activities across the Cancer Prevention-Interception Targeted Agent Discovery Program (CAP-IT), and to manage, integrate and disseminate the data and resources generated through the network. Leveraging cutting-edge multi-disciplinary team approaches, we will support the CAP-IT to discover molecularly or immunologically targeted agents designed to prevent or intercept the oncogenic process for precision cancer prevention and interception. Our strategy is to enhance the productivity of CAP-IT investigators by fostering a collaborative and synergistic research community, accelerate the progress of CAP- IT research by reducing barriers to accessing analytics expertise, ensure the reproducibility of CAP-IT data by deploying best practices for data acquisition and harmonization, and unleash the full potential of CAP-IT activities by developing enhanced tools to enable resource sharing to the broader scientific community. First, we will provide a centralized administrative infrastructure to coordinate CAP-IT activities, building upon our well-functioning infrastructure that currently coordinates network studies under the umbrella of the NCI Cancer Moonshot initiatives. Second, we will actively promote the CAP-IT and engage in trans-consortium interactions, where we will leverage our demonstrable experience in Cross-Moonshot outreach and Bioconductor’s decades-long record in community engagement. Third, we will, in coordination with each CAP- IT center’s informatics group, provide multidisciplinary analytics expertise to support CAP-IT’s collaborative research, leveraging three of Roswell Park CCSG’s shared resources: Biostatistics, Bioinformatics, Biomedical Informatics. Fourth, we will develop improved data integration and analysis software, database and workflows to enhance CAP-IT’s research capacity, capitalizing on our extensive track-record in developing NIH-supported Cancer Moonshot, Bioconductor and AnVIL ecosystems. Taken together, we envision that our DRCC, in close collaboration with the CAP-IT U54 Centers and NCI staffs, will allow us to support highly effective and innovative translational studies to address the significantly unmet needs related to precision cancer prevention-interception. The main deliverables from the proposed aims will be administrative and outreach support to coordinate network activities, facilitate network collaboration, and engage in interaction with the broader community (Aim 1); workflows to ensure that all data generated by the CAP-IT will be harmonized using standards interoperable with the broader cancer data ecosystem, analysis tools and database to integrate CAP-IT data and facilitate cross-study analysis, and multidisciplinary analytics supports to accelerate CAP-IT research progress (Aim 2); polices and infrastructures to ensure that all resources generated by the CAP-IT will be findable in a centralized virtual information hub, and that all resources will be shared with the broader scientific community (Aim 3).