Building protected data sharing networks to advance cancer risk assessment and treatment

建立受保护的数据共享网络以推进癌症风险评估和治疗

基本信息

批准号：
10219170
负责人：
Ian Foster
金额：
$ 62.75万
依托单位：
UNIVERSITY OF CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2022-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10219170
关键词：
Address Adoption Advanced Malignant Neoplasm Area Biomedical Research Blood Bone Marrow Breast Cancer Research Network Chicago Clinical Clinical Data Communities Community Outreach Computer software Country Data Data Analyses Data Analytics Data Security Data Set Engineering Ensure Environment Family Funding Galaxy Genetic Genome Genomic Data Commons Genomics Government Agencies Health Insurance Portability and Accountability Act Hematologic Neoplasms Hematopoietic Neoplasms Human Image Institution Liquid substance Malignant Neoplasms Malignant neoplasm of pancreas Medical Methods Movement Names Pancreas Patients Performance Phenotype Policies Procedures Provider Research Research Personnel Resources Risk Risk Assessment Sampling Secure Security Services Shipping Site Speed Surveys System Systems Analysis Technology Training Universities Work anticancer research base cancer care cancer genomics cancer risk cancer type cloud platform cloud storage data de-identification data exchange data hub data management data sharing data sharing networks detection method encryption genomic data genomics cloud health data human data indexing large datasets large scale data malignant breast neoplasm neoplasm registry new technology patient oriented personalized health care personalized medicine petabyte phenome portability rare cancer risk prediction service providers software as a service tool

项目摘要

Project Summary Advances in genomics and data analytics create new opportunities for accurate risk prediction and personalized medical treatment for even rare cancers via large-scale data federation across institutions. Yet cancer research is often stymied by a lack of appropriate tools to streamline the transfer and sharing of clinical patient data for cancer research. Globus services permit secure data transfer, synchronization, and sharing in distributed environments at large scale. We propose here to extend these services so that they are appropriate to work securely with protected human data. The extended services will allow federation of clinical patient data for accurate cancer risk prediction, personalized treatment, as well as any other cancer research area. Globus is widely used, with over 15,000 users, more than 8,000 storage systems accessible via Globus, including at most leading US universities and many sites overseas, and more than 165 petabytes and 25 billion files transferred. Adoption of Globus by biomedical researchers has been rapid and is accelerating. Biomedical researchers at ~30 universities, government agencies, and sequencing centers have relied on Globus for streamlined data transfer and sharing. Our “Globus Genomics” (GG) integrated Galaxy-Globus-cloud genomics analysis system has been used by more than 300 researchers across multiple biomedical research domains, including cancer, at over 25 institutions to analyze over 10,000 samples. We will develop a HIPAA Enablement Toolkit that will enable Globus and other software-as-a-service providers (including GG) to manage protected data securely (Aim 1.1). We will extend Globus security features by implementing file name encryption and by encrypting data with user-supplied keys, and demonstrate that these new features can be used by GG and other services to enable elastic, secure, high-performance cancer genomics data analysis (Aim 1.2). We will integrate Globus with major cloud platforms by developing uniform storage system interfaces (Aim 2.1), engineering high-speed transfers (Aim 2.2), and implementing search, replication, and synchronization (Aim 2.3) on AWS, Google, Microsoft, and OpenStack-based clouds, so that cancer researchers can transfer and share data securely and easily among these and other (e.g., local) computing and storage platforms. The resulting tools will be applicable to any cancer type across the cancer research spectrum. We will validate and disseminate these new technologies first within existing and emerging breast (Aim 3.1), blood (Aim 3.2), and pancreatic (Aim 3.3) cancer research networks and then more broadly with collaborators across the cancer research continuum (Aim 3.4). We will work closely with collaborators and users to ensure that we meet the needs of a broad cross-section of the cancer research community that requires transfer, sharing, and analysis of large, human data sets. We will use extensive community outreach through multiple channels to widely disseminate our technologies.

项目概要基因组学和数据分析的进步为准确的风险预测和预测创造了新的机会。通过跨机构的大规模数据联合，甚至可以针对罕见癌症进行个性化医疗。癌症研究常常因缺乏适当的工具来简化临床数据的传输和共享而受到阻碍 Globus 服务允许安全地传输、同步和共享癌症研究的患者数据。我们在此建议扩展这些服务，以便它们适用。安全地处理受保护的人类数据。扩展服务将允许临床患者数据的联合。用于准确的癌症风险预测、个性化治疗以及任何其他癌症研究领域。 Globus 应用广泛，拥有超过 15,000 个用户，可通过 Globus 访问超过 8,000 个存储系统，包括大多数领先的美国大学和许多海外站点，超过 165 PB 和 250 亿生物医学研究人员对 Globus 的采用速度很快，而且还在加速。约 30 所大学、政府机构和测序中心的研究人员依赖 Globus 我们的“Globus Genomics”（GG）集成了 Galaxy-Globus-云基因组学。分析系统已被多个生物医学研究领域的 300 多名研究人员使用，包括癌症在内，在超过 25 个机构分析了超过 10,000 个样本。我们将开发 HIPAA 支持工具包，为 Globus 和其他软件即服务提供商提供支持（包括 GG）安全地管理受保护的数据（目标 1.1）我们将通过以下方式扩展 Globus 安全功能。实现文件名加密并使用用户提供的密钥加密数据，并证明这些新功能可供GG和其他服务使用，以实现弹性、安全、高性能的癌症我们将通过开发统一的云平台将 Globus 与基因组数据分析（目标 1.2）集成。存储系统接口（目标 2.1）、设计高速传输（目标 2.2）以及实现搜索，在 AWS、Google、Microsoft 和基于 OpenStack 的云上进行复制和同步（目标 2.3），以便癌症研究人员可以在这些和其他（例如本地）之间安全、轻松地传输和共享数据由此产生的工具将适用于所有癌症类型。我们将首先在现有和新兴的研究范围内验证和传播这些新技术。乳腺癌（目标 3.1）、血液（目标 3.2）和胰腺癌（目标 3.3）研究网络，然后更广泛与整个癌症研究领域的合作者合作（目标 3.4）。用户，以确保我们满足癌症研究界广泛的需求需要传输、共享和分析大型人类数据集，我们将利用广泛的社区外展服务。通过多种渠道广泛传播我们的技术。