CYCORE: Cyberinfrastructure for Cancer Comparative Effectiveness Research

CYCORE：癌症比较有效性研究的网络基础设施

• 批准号: 9004609
• 负责人: Kevin Patrick
• 金额: $ 49.94万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9004609
• 关键词: Accounting; Address; Adherence; Adverse effects; Alabama; Algorithms; Architecture; Aromatase Inhibitors; Behavior; California; Cancer Center; Cancer Control; Cancer Patient; Clinical Trials; Cloud Computing; Collection; Communities; Community Clinical Oncology Program; Computer software; Data; Data Analyses; Data Reporting; Data Security; Dehydration; Detection; Doctor of Medicine; Enrollment; Ensure; Environmental Risk Factor; Funding; Future; Generic Drugs; Goals; Health; Imagery; Institution; Life Style; Malignant Neoplasms; Measures; Methods; Modeling; Movement; NCI Center for Cancer Research; National Cancer Institute; Outcome; Outcomes Research; Participant; Patient Outcomes Assessments; Patient-Focused Outcomes; Patients; Performance; Performance Status; Pharmaceutical Preparations; Physiological; Pilot Projects; Positioning Attribute; Prevention; Privacy; Problem Solving; Process; Prunella vulgaris; Quality of life; Reporting; Research; Research Infrastructure; Research Personnel; Research Project Grants; Security; Seeds; Services; Signal Transduction; Smoking; Symptoms; System; Testing; Universities; Vision; base; cancer clinical trial; cancer therapy; comparative effectiveness; computerized data processing; cyber infrastructure; data acquisition; data sharing; effectiveness research; experience; improved; interest; meetings; multidisciplinary; oncology; outreach; pilot trial; programs; prototype; psychologic; sensor; smoking cessation; software development; tool; treatment adherence; treatment center; trend; user-friendly

DESCRIPTION (provided by applicant): We propose to continue and significantly extend the research we began in 2010, with support from the National Cancer Institute, to develop a system that improves the capture of patient-reported as well as objectively measured data from patients in cancer clinical trials. The system, CYCORE (CYberinfrastructure for COmparative effectiveness REsearch), is a robust software-based prototype for a user-friendly, cyberinfrastructure (CI) that supports the acquisition, storage, visualization, analysis, and sharing of data important for cancer-related comparative effectiveness research (CER). Our initial project began with the intent to solve the problem of how to collect data on patients enrolled in cancer clinical trials that would improve the ability of cancer researchers to gather patient-reported data on such things as symptoms, quality of life, performance status and physiological parameters that signal how well participants are doing with their treatment. We have developed an initial, highly successful prototype of CYCORE, tested it in several use- cases, and now have a small but highly enthusiastic community of users. What we propose herein is based both on our assessment of critical needs for scalability and extensibility of the system as well as on user input about what they find useful in CYCORE and what features they would like to see in subsequent versions. Hence, we endeavor to position CYCORE uniquely to support a rapidly growing interest in cancer-related CER. Our vision for CYCORE is to support an expanded community of researchers in a variety of research settings. In this project, we focus on the following Aims: Aim 1: Improve scalability and performance: Exploit the emerging trends in service-oriented architectures, virtualization, and cloud computing to scale our infrastructure to accommodate both existing and emerging sensors, processing, analysis and reporting tools. Aim 2: Expand capability for new sensors and address fault tolerance and self-healing. Develop and test the acquisition of data from new sensors, while increasing the system's reliability. Aim 3: Introduce a new cancer control use case for CYCORE Aim 4: Incorporate new algorithms that support the detection and analysis of outcomes important in cancer CER. Provide a generic infrastructure for algorithm definition and execution and implement some of the algorithms needed for the pilot trials (e.g., dehydration, performance status, movement, and smoking cessation). Aim 5: Improve security, privacy and data sharing capabilities of CYCORE - optimize how CYCORE handles issues related to data security, anonymization, and confidentiality in order to facilitate data sharing. Integrate with external systems to ingest data into CYCORE and also to export data for sharing with other researchers. Aim 6: Develop and Implement a model for sustainability - develop a sustainability model for CYCORE to ensure support for programming, project and outreach staff in the future. Aim 7: Expand and enrich the community of CYCORE users. Expand, support and nurture the community of CYCORE users.

描述（由申请人提供）：我们建议在国家癌症研究所的支持下继续并显着扩展我们于 2010 年开始的研究，以开发一个系统，该系统可以改善癌症临床试验中患者报告和客观测量数据的捕获。该系统 CYCORE（比较有效性研究的网络基础设施）是一个基于软件的强大原型，用于用户友好的网络基础设施 (CI)，支持对癌症相关比较有效性研究 (CER) 重要的数据的采集、存储、可视化、分析和共享。我们最初的项目旨在解决如何收集参加癌症临床试验的患者数据的问题，这将提高癌症研究人员收集患者报告的数据的能力，这些数据包括症状、生活质量、表现状态和生理参数，这些数据表明参与者的治疗效果如何。我们开发了一个最初的、非常成功的 CYCORE 原型，并在多个用例中对其进行了测试，现在拥有一个规模虽小但高度热情的用户社区。我们在此提出的建议既基于我们对系统可伸缩性和可扩展性关键需求的评估，也基于用户对 CYCORE 中有用的内容以及他们希望在后续版本中看到哪些功能的输入。因此，我们努力将 CYCORE 定位为独特的，以支持人们对癌症相关 CER 的快速增长的兴趣。我们对 CYCORE 的愿景是支持各种研究环境中扩大的研究人员社区。 在该项目中，我们重点关注以下目标： 目标 1：提高可扩展性和性能：利用面向服务的架构、虚拟化和云计算的新兴趋势来扩展我们的基础设施，以适应现有和新兴的传感器、处理、分析和报告工具。目标 2：扩展新传感器的功能并解决容错和自我修复问题。开发和测试新传感器的数据采集，同时提高系统的可靠性。目标 3：为 CYCORE 引入新的癌症控制用例 目标 4：采用新的算法来支持癌症 CER 中重要结果的检测和分析。为算法定义和执行提供通用基础设施，并实现试点试验所需的一些算法（例如脱水、性能状态、运动和戒烟）。目标5：提高CYCORE的安全、隐私和数据共享能力——优化CYCORE处理数据安全、匿名和保密相关问题的方式，以促进数据共享。与外部系统集成，将数据提取到 CYCORE 中，并导出数据以便与其他研究人员共享。目标 6：开发和实施可持续发展模型 - 为 CYCORE 开发可持续发展模型，以确保未来为规划、项目和外展人员提供支持。目标 7：扩大和丰富 CYCORE 用户社区。扩大、支持和培育 CYCORE 用户社区。