METEOR-Data Synthesis and Transfer (METEOR-DST)

METEOR-数据合成和传输 (METEOR-DST)

• 批准号: 10715025
• 负责人: ALBERT M LAI
• 金额: $ 14.85万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10715025
• 关键词: Address; Adopted; Algorithmic Analysis; Atlases; Biological; Cells; Clinical Data; Collaborations; Collection; Data; Data Analyses; Data Sources; Databases; Digital Imaging and Communications in Medicine; Dose; Ecosystem; Ensure; FAIR principles; Genomic Data Commons; Genomics; Health; Health Insurance Portability and Accountability Act; Human; Image; Informatics; Institution; Link; Manuals; Measures; Metadata; Multiomic Data; Online Systems; Outcome; Patients; Phenotype; Process; Productivity; Proteomics; Radiation Oncology; Radiation therapy; Reproducibility; Research; Resource Sharing; Sampling; Secure; Specimen; Structure; System; TRUST principles; Tissues; Universities; Visualization; Washington; data ecosystem; data format; data ingestion; data integration; data management; data repository; data sharing; design; educational atmosphere; experimental study; genomic data; image archival system; innovation; metabolomics; multiple data sources; multiscale data; open data; tool; transcriptomics; tumor; user-friendly; web based software

METEOR-DST SUMMARY The METEOR Data Synthesis and Transfer (DST) shared resource provides expertise and systems for synthesizing data from across all data sources in METEOR and enabling the ability to transfer the synthesized data into the larger NCI Data ecosystem and repositories. DST addresses the critical issue of aggregating multi- omics data, imaging, radiotherapy, and clinical data as well as enabling these data to be shared in a user-friendly manner. With the successful completion of the aims outlined, we will ensure that the collection and management of patient-derived data is performed in a manner consistent with FAIR and TRUST principles. We will augment CIELO, a HIPAA-secure open science platform for health research, to support the workflows and data types needed for ROBIN. CIELO allows diverse end-users to share, discover, and adapt/adopt “bundles” of health information, such as multi-scale, longitudinally defined phenotypes. This will serve as a comprehensive and “end-to-end” solution for enabling Trans-ROBIN data-centric research collaborations involving multiple ROBIN Centers and beyond. We will add: (1) the capability to ingest the data from multiple sources and then harmonize and integrate the data by creating consistent identifiers for patients, tissues, and sample; (2) API-based interfaces with a number of internal platforms and systems such as REDCap, XNAT OpenSpecimen, and institutional EHR warehouse; (3) addition of support for external data export to other data repositories in the NCI data ecosystem. We will deploy and enhance XNAT to support imaging and radiation therapy data in ROBIN and integrate with CIELO. XNAT is a web-based software platform designed to facilitate common management and productivity tasks for imaging and associated data. It consists of an image repository to store raw and post-processed images, a database to store metadata and non-imaging measures, and user interface tools for accessing, querying, visualizing, and exploring data. We will enhance XNAT to store radiation therapy DICOM formats (RT Structure Set, RT Dose, Segmentation Objects) and to visualize radiation therapy annotations in XNAT’s web- based imaging viewer. We will fully integrate XNAT with CIELO via XNAT’s extensive REST API. We will ensure that the collection and management of patient-derived data is performed in a manner consistent with FAIR and TRUST principles. All METEOR data (eCRFs, biospecimen availability & characterization) will be aggregated into CIELO and XNAT, using REST interfaces, and automated data extraction from our Research Data Core, as well as manual upload capabilities. Processed results of the METEOR-BLST team’s genomics, transcriptomics, proteomics, and metabolomics analyses, including bulk, single-cell, and spatial experiments, will be uploaded into CIELO.

METEOR-DST总结 METEOR数据合成和传输（DST）共享资源提供专业知识和系统， 综合来自METEOR中所有数据源的数据，并能够将综合的 数据到更大的NCI数据生态系统和存储库。DST解决了聚合多个 组学数据、成像、放射治疗和临床数据，并使这些数据能够以用户友好的 方式随着上述目标的成功实现，我们将确保收集和管理 以符合公平和信任原则的方式执行患者来源数据。 我们将加强CIELO，一个健康研究的HIPAA安全开放科学平台，以支持工作流程 ROBIN需要的数据类型CIELO允许不同的最终用户共享、发现和适应/采用 健康信息的“束”，例如多尺度、纵向定义的表型。这将作为一个 全面的“端到端”解决方案，用于实现以数据为中心的跨ROBIN研究协作 涉及多个罗宾中心和其他地方。我们将增加：（1）从多个数据库中摄取数据的能力。 源，然后通过为患者、组织和组织创建一致的标识符来协调和整合数据， 示例;（2）与许多内部平台和系统（如REDCap、XNAT）的基于API的接口 OpenSpecimen和机构EHR仓库;（3）增加了对外部数据导出到其他数据的支持 NCI数据生态系统中的存储库。 我们将部署和增强XNAT，以支持ROBIN中的成像和放射治疗数据，并与 CIELO。XNAT是一个基于Web的软件平台，旨在促进通用管理和生产力 成像和相关数据的任务。它包括一个图像存储库，用于存储原始图像和后处理图像 图像，存储元数据和非成像测量的数据库，以及用于访问的用户界面工具， 查询、可视化和探索数据。我们将增强XNAT以存储放射治疗DICOM格式（RT 结构集、RT剂量、分割对象），并在XNAT的网络中可视化放射治疗注释。 基于图像观察器。我们将通过XNAT广泛的REST API将XNAT与CIELO完全集成。 我们将确保以一致的方式收集和管理患者来源的数据 公平和信任的原则。所有METEOR数据（eCRF、生物样本可用性和表征）将 聚合到CIELO和XNAT，使用REST接口，并从我们的研究中自动提取数据 数据核心，以及手动上传功能。METEOR-BLST团队基因组学的处理结果， 转录组学、蛋白质组学和代谢组学分析，包括批量、单细胞和空间实验， 将被上传到CIELO。