Resource Sharing Core

资源共享核心

• 批准号: 10676875
• 负责人: Amit Sawant
• 金额: $ 16.54万
• 依托单位: UNIVERSITY OF MARYLAND BALTIMORE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-04 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10676875
• 关键词: 3-Dimensional; Affect; Basic Science; Biology; Clinical; Clinical Sciences; Collaborations; Computer software; Data; Data Analyses; Data Collection; Data Engineering; Data Storage and Retrieval; Database Management Systems; Databases; Development; Dose; Ensure; Faculty; Fees; Future; Image; Imaging Techniques; Information Systems; Infrastructure; Institution; Internet; Laboratories; Magnetic Resonance Imaging; Maryland; Medicine; Methods; Mind; Multimodal Imaging; Multiomic Data; Organ; Pathology; Patients; Positioning Attribute; Positron-Emission Tomography; Postdoctoral Fellow; Procedures; Process; Radiation Oncology; Radiation therapy; Recording of previous events; Research; Research Personnel; Resource Sharing; Retrieval; Risk; Role; Service delivery model; Services; System; Techniques; Training; Universities; X-Ray Computed Tomography; base; cloud based; cone-beam computed tomography; cost effective; data ingestion; data integration; data quality; data sharing; data warehouse; deep learning; design; dosimetry; electronic data; experience; genome-wide analysis; graphical user interface; high dimensionality; improved; innovation; interest; learning strategy; meetings; member; multidimensional data; multiple omics; outcome prediction; programs; radiomics; tool; treatment planning; treatment response; tumor

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.

摘要 拟议的ROBIN U54中心项目的资源共享核心将由经验丰富的教师组成， 马里兰州大学放射肿瘤学系和康奈尔大学病理学系 大学本核心成员与调查人员之间已经有了长期的合作历史 主要项目。核心小组将通过提供一个 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一种协调数据收集、存储和共享的关键方法， 对主要项目的数据进行一致和有效的分析。这有三个具体目标 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， 因此，它将为正确和有效的预处理提供一切必要的专门知识， 分析U54 ROBIN中心每个项目中生成的多组学数据。共享 U54 ROBIN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 支持研究使用来自多个临床系统和分析平台的集成数据。目标二： 开发用于提取、分析和存储辐射成像和剂量测定数据的工具和基础设施 疗法我们将开发工具和数据库，用于提取，分析和存储数据，这些数据是独一无二的， 放射治疗，包括成像数据（CT、MRI、PET和CBCT）和剂量测定数据（3D剂量 分布、靶和危险器官的剂量体积直方图）。我们还将开发成像技术， 质量增强以及对成像和剂量测定数据的放射组学分析。图形用户 将开发一个图形用户界面（GUI），以便于提取和分析多维数据。目标3. 提供基于云的平台和基础设施，用于跨机构的资源共享。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 飞轮软件将用于存储和共享马里兰州大学的成像和剂量测定数据。 数据库系统将与其他电子数据系统连接，并将制定程序， 确保数据质量、完整性和机密性。这些系统的实施将使项目间 未来与外部合作者的合作。这些数据和工具将被自动化地制作出来。 在收费服务模式下透明可用。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。核心研究者是 致力于与项目PI和调查人员密切合作，以评估任何可能对 资源共享，并随着项目的进展实施所有必要的变更。