CYCORE: CYberinfrastructure for COmparative effectiveness REsearch

描述（由申请人提供）：为了加快在癌症预防和控制方面进行比较有效性（CE）研究的进展，我们成立了一个由行为研究、网络信息学、远程信息处理、肿瘤学和临床试验方面的专家组成的联盟，以创建和测试一个名为CYCORE的创新基础设施：比较有效性研究的网络基础设施。CYCORE的首要目标是开发一个全面的、最先进的网络平台，使大规模和强大的CE研究跨越肿瘤连续体，即从癌症预防到癌症治疗，最终到癌症控制和生存护理。对于这项重大机遇拨款，我们建议在癌症研究人员和患者社区中设计并验证一个原型网络基础设施（CI），该基础设施支持癌症相关试验的临床、遗传、生理和行为数据的获取、存储、质量保证、可视化、分析和共享。该项目的具体目标包括：1)通过互动、迭代的过程获取关键利益相关者（癌症研究人员、临床医生和患者）关于CI需求和偏好的意见；2)创建数据聚合、集成、处理、挖掘、存储和检索的CI；3)构建数据采集硬件和软件，包括多数据源接口、生理传感器、自述数据数字化方法等；4)开发与CI结合使用的应用程序，包括实现用于数据分析的新颖的基于大脑的设备方法；5)与癌症患者进行新技术的可行性研究，以确定CI改善和增强的需求。该项目将在两个重要方面建立能力并加速CE研究：1)通过创建一个系统，使研究人员、医疗保健提供者、患者及其家属之间能够进行双向、实时的互动，以提高研究参与度、对治疗和其他干预措施的依从性，并最终取得更好的结果；2)通过建立一个持续和可行的联盟，能够在确保其未来使用的环境中验证该技术，并提供持续的监督，以确保CYCORE与持续的科学进步保持同步。

DESCRIPTION (Provided by the applicant): To accelerate progress toward conducting comparative effectiveness (CE) research in cancer prevention and control, we have formed a consortium of investigators with expertise in behavioral research, cyberinformatics, telematics, oncology, and clinical trials to create and test an innovative infrastructure called CYCORE: CYberinfrastructure for COmparative effectiveness REsearch. The overarching goal of CYCORE is to develop a comprehensive, state of the art cyberplatform that will enable large-scale and robust CE research across the neoplastic continuum, i.e., from cancer prevention, to cancer treatment and ultimately, to cancer control and survivorship care. For this Grand Opportunity grant, we propose to design, and validate within a community of cancer investigators and patients, a prototype cyberinfrastructure (CI) that supports the acquisition, storage, quality assurance, visualization, analysis, and sharing of clinical, genetic, physiologic, and behavioral data for cancer-related trials. The specific aims for this project include: 1) obtain input from key stakeholders (cancer researchers, clinicians and patients) regarding needs and preferences for the CI through an interactive, iterative process; 2) create the CI for data aggregation, integration, processing, mining, storage and retrieval; 3) build data acquisition hardware and software, including interfaces with multiple data sources, physiological sensors, and digitization methods for self-reported data; 4) develop applications to be used in conjunction with the CI, including implementation of novel brain-based device methods for data analysis; and, 5) Conduct feasibility studies with the new technology with cancer patients to identify needs for CI improvement and enhancement. This project will build capacity and accelerate CE research in two important ways: 1) through the creation of a system enabling two-way, real-time interaction between researchers, health care providers, and patients and their families, to enhance research participation, adherence to treatments and other interventions and, ultimately, result in improved outcomes; and, 2) through the establishment of a sustained and viable consortium that is able to validate this technology in settings that assure its future use and provide continued oversight to assure that CYCORE stays abreast of continuing scientific advances. PUBLIC HEALTH RELEVANCE: To accelerate progress toward conducting comparative effectiveness (CE) research in cancer prevention and control, we have formed a consortium of investigators with expertise in behavioral research, cyber-informatics, telematics, oncology, and clinical trials to create and test an innovative infrastructure called CYCORE: CYberinfrastructure for COmparative effectiveness REsearch. The overarching goal of CYCORE is to develop a comprehensive, state of the art cyberplatform that will enable large-scale and robust CE research across the neoplastic continuum, i.e., from cancer prevention, to cancer treatment and ultimately, to cancer control and survivorship care. For this Grand Opportunity grant, we propose to design, and validate within a community of cancer investigators and patients, a prototype cyberinfrastructure (CI) that supports the acquisition, storage, quality assurance, visualization, analysis, and sharing of clinical, genetic, physiologic, and behavioral data for cancer-related trials.