Secure and PrivAte Collaborative EnvironmentS (SPACES) for biomedical analytics

用于生物医学分析的安全且私密的协作环境 (SPACES)

• 批准号: 9239403
• 负责人: Jaideep Vaidya
• 金额: $ 36.88万
• 依托单位: RUTGERS THE STATE UNIV OF NJ NEWARK
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9239403
• 关键词: Address; Adverse effects; Algorithmic Analysis; Algorithms; Big Data; Big Data to Knowledge; Biomedical Research; Caring; Chronic Disease; Clinic; Complex; Data; Data Analyses; Data Collection; Data Protection; Data Set; Decision Trees; Diabetes Mellitus; Disease; Drug Interactions; Economics; Goals; Grant; Hand; Healthcare; Informatics; Intervention; Joints; Knowledge; Lead; Malignant Neoplasms; Measurement; Measures; Medical; Mental Depression; Methodology; Modeling; Monitor; Ontology; Outcome Measure; Patients; Pattern; Principal Investigator; Privacy; Privatization; Process; Psychiatry; Public Health; Research; Research Design; Research Personnel; Research Project Grants; Risk; Risk Assessment; Safety; Sampling; Scheme; Secure; Security; Semantics; Software Tools; System; Techniques; Technology; Testing; Translational Research; Validation; Work; base; biomedical informatics; collaborative environment; computer based Semantic Analysis; cost; data access; data management; flexibility; health care availability; improved; insight; novel diagnostics; oncology; open source; programs; public health intervention; public health research; repository; social; tool; tool development; usability

Secure and Private Collaborative Environments for Biomedical Analytics Privacy and confidentiality are critical to healthcare. However, preserving privacy is a non-trivial task because any protection scheme essentially involves a tradeoff with data utility. Furthermore, lack of access to biomedical data can lead to fragmentation of care, resulting in higher economic and social costs, higher safety risk from avoidable drug interactions side-effects, and is a significant impediment to biomedical research. The primary aim of this project is to facilitate biomedical research in collaborative environments by developing technologies for secure and privacy-preserving exploratory analysis. This is critical to the big data to knowledge (BD2K) initiative since it can facilitate biomedical research in collaborative environments. The proposed work addresses two complementary aims. First, we will develop technologies that enable exploratory analysis of data to determine its usability and relevance to the specific biomedical research task. We will also develop technologies to enable the measurement and mitigation of additional privacy/security risk due to accessing this data, thus enabling proper control over the data. The proposed solutions will utilize and enhance the state of the art technological solutions such as privacy-preserving sampling and analysis algorithms, risk-based access control, and query auditing. By doing so, the proposed work will enhance biomedical study design, exploratory data analysis, and hypothesis discovery without compromising on privacy. The project will result in open-source, freely available software tools to perform utility analysis and risk analysis. These will be integrated into REDCap, a data collection and management system used widely for providing translational research informatics support. Several ongoing projects at Rutgers and UCSD will serve as initial pilot customers for the proposed work, with other research groups also being involved at a later stage.

生物医学分析的安全和私密协作环境 隐私和保密性对医疗保健至关重要。然而，保护隐私 是一项重要的任务，因为任何保护方案基本上都涉及 与数据效用的权衡。此外，无法获得生物医学数据可能导致 护理分散，导致更高的经济和社会成本， 可避免的药物相互作用副作用的安全风险，是一个重要的 生物医学研究的障碍。该项目的主要目的是促进 生物医学研究在协作环境中通过开发技术， 安全和隐私保护的探索性分析。这对大数据至关重要 BD 2K倡议，因为它可以促进生物医学研究， 协作环境。 拟议的工作涉及两个相辅相成的目标。首先，我们将发展 支持探索性数据分析以确定其可用性的技术 与特定生物医学研究任务的相关性。我们还将开发 技术，以使测量和缓解额外的 由于访问此数据而产生的隐私/安全风险，因此可以适当控制 数据。所提出的解决方案将利用和增强最先进的技术 技术解决方案，如隐私保护采样和分析 算法、基于风险的访问控制和查询审计。通过这样做， 拟议的工作将加强生物医学研究设计，探索性数据分析， 和假设发现而不损害隐私。 该项目将导致开源，免费提供的软件工具，以执行 效用分析和风险分析。这些数据将被整合到REDCap中， 收集和管理系统广泛用于提供翻译 研究信息支持。罗格斯大学和加州大学圣地亚哥分校正在进行的几个项目将 与其他研究小组一起作为拟议工作的初始试点客户 也会在后期参与进来。