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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：
9296836
负责人：
Ian Foster
金额：
$ 80.59万
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/9296836
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 Detection 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 management data sharing encryption genomic data genomics cloud health data human data indexing malignant breast neoplasm neoplasm registry new technology patient oriented personalized health care personalized medicine petabyte phenome portability 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.

项目总结