Resource Sharing Core

摘要 拟议的Robin U54中心项目的资源共享核心将由 马里兰大学放射肿瘤学系和康奈尔大学病理学系 大学。这个核心的成员和调查人员之间的合作已经有很长的历史了 在主要项目上。核心将为项目提供集中和具有成本效益的支持，方法是 项目所需的广泛数据，包括多组学、成像和辐射剂量学数据 肿瘤学。核心服务提供了协调数据收集、存储和共享的关键方式，以确保 来自主要项目的数据得到一致和高效的分析。为此有三个具体目标 核心：目标1.为项目研究人员提供最先进的多组学数据分析和存储方法。 核心研究团队在广泛的全基因组分析方面拥有丰富的经验，这些分析是 因此，它将提供所有必要的专业知识，以便正确和有效地进行预处理和 分析U54 Robin中心每个项目中产生的多组学数据。分享 U54罗宾中心内的多组学数据将利用康奈尔大学的云数据仓库，该数据仓库 支持对来自多个临床系统和分析平台的集成数据进行研究使用。目标2： 开发用于提取、分析和存储辐射中的成像和剂量测量数据的工具和基础设施 心理治疗。我们将开发工具和数据库来提取、分析和存储特定于 放射治疗，包括成像数据(CT、MRI、PET和CBCT)和剂量数据(3D剂量 目标和危险器官的剂量体积直方图)。我们还将开发图像处理技术 对成像和剂量学数据进行质量增强和放射组学分析。图形用户 将开发界面(图形用户界面)，以方便提取和分析多维数据。目标3. 为跨机构的资源共享提供基于云的平台和基础设施。基于云的 数据仓库将用于存储和共享康奈尔大学的多组学数据，而基于云的 马里兰大学将使用飞轮软件来存储和共享成像和剂量测量数据。 数据库系统将与其他电子数据系统对接，并将启动程序以 确保数据质量、完整性和机密性。将实施这些系统以实现项目间 未来的协作和与外部合作者的协作。数据和工具将公之于众 在收费服务模式下提供透明的服务。总而言之，资源共享核心将具有 在所有项目的科学开发、执行和分析中发挥不可或缺的作用。核心调查人员是 致力于与项目绩效指标和调查人员密切合作，评估任何可能产生不利影响的问题 资源共享，并随着项目的进展实施所有必要的更改。

ABSTRACT The resource sharing core of the proposed ROBIN U54 center project will consist of experienced faculties in the Department of Radiation Oncology at the University of Maryland and Department of Pathology at Cornell University. A long history of collaboration already exists between the members of this Core and investigators on the main projects. The Core will provide centralized and cost-effective support to the projects by providing a wide range of data needed for the projects, including multi-omics, imaging, and dosimetry data in radiation oncology. The core service provides a crucial way to coordinate data collection, storage, and sharing to ensure data from the main projects are analyzed consistently and efficiently. There are three specific aims for this core: Aim 1. Provide state-of-the-art methods for multi-omics data analysis and storage to project researchers. The core research team has extensive experience in the wide array of genome-wide analyses that are planned, and it will therefore provide all necessary expertise for the correct and efficient pre-processing and analysis of the multi-omics data generated within each project across the U54 ROBIN center. Sharing the multi-omics data within the U54 ROBIN Center will leverage the Cloud Data Warehouse at Cornell, which enables the research use of integrated data from multiple clinical systems and analytical platforms. Aim 2: Develop tools and infrastructure for extraction, analysis, and storage of imaging and dosimetry data in radiation therapy. We will develop tools and databases for extracting, analyzing, and storing the data that are unique for radiation therapy, including both imaging data (CT, MRI, PET and CBCT) and dosimetry data (3D dose distribution, dose volume histogram for target and organs at risk). We will also develop techniques for image quality enhancement as well as radiomics analysis on both imaging and dosimetry data. A graphical user interface (GUI) will be developed to facilitate the extraction and analysis of the multi-dimensional data. Aim 3. Provide cloud-based platforms and infrastructures for resource sharing across institutions. The cloud-based Data Warehouse will be used to store and share multi-omics data at Cornell University, while the cloud-based Flywheel software will be used to store and share imaging and dosimetry data at the University of Maryland. The database systems will be interfaced with other electronic data systems, and procedures will be instituted to ensure data quality, integrity, and confidentiality. The systems will be implemented to enable inter-project collaborations and those with external collaborators in the future. The data and tools will be made publically available with transparency under a fee-based service model. In summary, the resource sharing core will have an integral role in the scientific development, execution, and analysis of all projects. Core investigators are committed to working closely with project PIs and investigators to assess any issues that may adversely affect resource sharing and implement all necessary changes as the projects progress.