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.

抽象的 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 马里兰大学放射肿瘤学系和康奈尔大学病理学系 大学。该核心成员和研究人员之间已经存在悠久的合作历史 关于主要项目。核心部门将通过提供 项目所需的广泛数据，包括多组学、成像和辐射剂量测定数据 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 主要项目的数据得到一致、有效的分析。为此，有3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 计划，因此它将提供所有必要的专业知识，以进行正确和有效的预处理和 分析 U54 ROBIN 中心每个项目生成的多组学数据。分享 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，该仓库 使研究能够使用来自多个临床系统和分析平台的集成数据。目标 2： 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 治疗。我们将开发工具和数据库来提取、分析和存储独特的数据 放射治疗，包括影像数据（CT、MRI、PET 和 CBCT）和剂量测定数据（3D 剂量） 分布、目标和危险器官的剂量体积直方图）。我们还将开发图像技术 质量增强以及成像和剂量测定数据的放射组学分析。图形用户 将开发界面（GUI）以方便多维数据的提取和分析。目标3。 提供基于云的平台和基础设施，以实现跨机构的资源共享。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 马里兰大学将使用 Flywheel 软件来存储和共享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。该系统的实施将促进项目间的 以及未来与外部合作者的合作。数据和工具将公开 在收费服务模式下透明地提供。综上所述，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 PI 和调查人员密切合作，评估可能产生不利影响的任何问题 资源共享并随着项目的进展实施所有必要的改变。