Biomedical Data Translator Technical Feasibility Assessment and Architecture Design

生物医学数据转换器技术可行性评估和架构设计

• 批准号: 9482473
• 负责人: Stanley Carlton Ahalt
• 金额: $ 111.32万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-24 至 2018-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9482473
• 关键词: Address; Architecture; Clinical; Clinical Research; Collaborations; Collection; Complex; Data; Data Analyses; Data Sources; Development; Disease; Health; Human; Informatics; Ingestion; Institution; Measures; Medical; Metadata; Modeling; Molecular; Nurses; Pathway interactions; Pharmaceutical Preparations; Policies; Protocols documentation; Research Personnel; Scientist; Socialization; Support System; System; Systems Biology; Time; Training; Translational Research; Update; Vision; design; disease transmission; dynamic system; improved; interdisciplinary collaboration; open source; prototype; tool

The Carolina Biomedical Data Translator (CBDT) will address the significant challenges in clinical and translational research by permitting clinicians, nurses, biomedical researchers, and clinical scientists to query, exploit, and contribute to a federated collection of complex and highly disparate data with medical importance. This data federation—a “quasi-comprehensive” medical federation—will enable interrogators to pose questions about human health and disease that could not heretofore have been imagined. We anticipate that these analyses will increase, in ways that are paradigm shifting, our understanding of new treatments and treatment targets, mechanisms of disease and disease transmission, environmental triggers, opportunities for drug repurposing, molecular candidates, and systems biology pathways. To realize this vision, we propose a trajectory that permits the realization of such a federation. We intend to start modestly and prototype the CBDT using the unique tools we have been building for other informatics projects, and then iteratively improve the CBDT in collaboration with NCATS. Ultimately, the CBDT federation will need to be socialized, permitted, and nurtured in order to realize its full potential. Indeed, we believe that the biggest single challenge will be establishing a governance model that permits the assembly of information pulled from across institutions and organizations. We discuss this issue in Section 2.2.1. The CBDT must be: • Dynamic: regularly updated to accommodate the addition of new data and data sources; • Agile: modifiable for uses beyond the original design and adaptable for other data analysis; • Usable: permitting differential access and levels of access (view, edit, etc.) to the data, and permitting use by both experts and new users with modest training; • Rational: the data will be clinically and scientifically relevant, as well as informed by policy and protocols, and the system will provide answers with contextual meta-data; and • Curated: the data will have associated provenance and quality measures, including statistical relevance where appropriate. We envision a dynamic system that supports data ingestion and subsequent curation, federation, and exploitation (see figure). We have assembled a team that has a track record of interdisciplinary collaboration and development of open source tools. We propose a demonstration project that is feasible in the 2-year time frame, but demonstrates all of the key functionality that the final system must possess.

卡罗来纳州生物医学数据翻译器（CBDT）将解决 允许临床和翻译的研究，由临床医生，护士，生物医学研究人员以及 临床科学家查询，利用并为联邦复杂收藏而做出贡献 具有医学重要性的不同数据。该数据联合会 - “准全面”医学 联邦 - 将使审讯者能够对人类健康和疾病提出问题 无法想象的是无法想象。我们预计这些分析将会增加 范式转移的方式，我们对新治疗和治疗目标的理解， 疾病和疾病传播的机制，环境触发因素，药物的机会 重新利用，分子候选和系统生物学途径。 为了实现这一愿景，我们提出了一个允许实现这种轨迹的轨迹 联邦。我们打算使用拥有的唯一工具来适度启动并原型CBDT原型 正在为其他信息项目建设，然后迭代地改善CBDT 与NCATS合作。最终，CBDT联合会将需要社交， 允许并进行护理以发挥其全部潜力。确实，我们认为最大 单一挑战将是建立一个治理模型，允许组装 从机构和组织中获取的信息。我们在节中讨论了这个问题 2.2.1。 CBDT必须是： •动态：定期更新以适应新的数据和数据源的添加； •敏捷：可修改用于超出原始设计的用途，并且适用于其他数据分析； •可用：允许对数据的差异访问和访问级别（查看，编辑等），以及 允许使用适度培训的专家和新用户使用； •理性：数据将在临床和科学上具有相关性，并由政策告知 和协议，系统将为上下文元数据提供答案；和 •策划：数据将具有关联的出处和质量措施，包括 统计相关性。 我们设想一个支持数据摄入和随后的动态系统 策展，联邦和开发（见图）。我们已经组装了 具有跨学科合作与开发的往绩记录的团队 源工具。我们提出了一个在2年中可行的示范项目 时间范围，但演示了最终的所有关键功能 系统必须拥有。