Core-001

生成、共享和分析数据的能力对临床和医疗中心的运营至关重要 翻译科学与培训(CCTST)和参与更广泛的CTSA网络。有效履行 这些原则需要强大的数据基础设施和精心制定的政策和程序，但 重要的是，发展一个高度参与性、信息学和数据素养的研究社区， 在创新的同时拥抱最佳实践。我们相信，实现这些以数据为中心的目标将 允许更多地发现、推理、理解和翻译知识，以改善健康和 身体健康。为了达到这些目标，我们将重点发展和实施以学科为基础的 本地学习系统，以提高数据聚合、数据利用率和信息学素养 关注我们自己的医疗保健系统[辛辛那提大学(加州大学)健康和辛辛那提儿童医院 医疗中心]。我们期望识别、汇总、统一表示并使医疗保健具有互操作性 来自各种基础科学和翻译科学领域、临床系统和社区来源的数据。我们 还期望广泛地为辛辛那提的所有利益攸关方提供手段，以便更有效地获取和利用 这些生物医学数据，并广泛传播从这些数据中衍生出来的与 改善健康和医疗保健。最后，我们希望最大限度地提高理解和使用的识字能力 为辛辛那提的所有利益相关者提供信息学方法，使我们的劳动力和社区能够最好地利用 改善健康和医疗保健的数据。由此产生的程序将可在我们的 利益相关者，他们的产品将向所有社区和CTSA参与者提供。这些计划将 利用现有的数据、技术和人员，这些计划将在这些基础上进行逻辑组织和构建 组件，以协同并持续识别新的数据、分析和技术需求，并共同创建 为我们的医疗保健研究集中提供新的信息学解决方案。我们将在过去的基础上继续前进 在加强这一建设和应对有效、普遍获取信息的挑战方面取得的成就 用于知识工程和应用的生物医学数据。

The ability to generate, share, and analyze data is fundamental to the operation of the Center for Clinical and Translational Science and Training (CCTST) and participation in wider CTSA networks. Effective fulfillment of these principles requires robust data infrastructure and well-formulated policies and procedures, but more importantly, the development of a highly participatory, informatics- and data-literate research community that embraces best practices alongside innovation. We believe that fulfillment of these data-centric objectives will allow greater discovery, inference, understanding, and translation of knowledge for improved health and wellness. To achieve these objectives, we will focus on the development and implementation of disciplinebased local learning systems to improve data aggregation, data utilization, and informatics literacy, with a focus on our own health care systems [University of Cincinnati (UC) Health and Cincinnati Children’s Hospital Medical Center]. We expect to identify, aggregate, uniformly represent, and make interoperable health care data from a variety of basic and translational science realms, clinical systems, and community sources. We also expect to broadly provide the means for all Cincinnati stakeholders to more effectively access and utilize these biomedical data, and to widely disseminate knowledge derived from such data that is relevant to improving health and health care. Finally, we expect to maximally increase literacy for understanding and using informatics approaches for all Cincinnati stakeholders, to enable our workforce and community to best utilize data for improving health and health care. The resulting programs will be accessible across our spectrum of stakeholders, and their products will be available to all community and CTSA participants. These programs will leverage existing data, technology, and people, and the programs will logically organize and build upon these components to synergistically and continually identify new data, analysis, and technology needs, and to cocreate new informatics solutions for our health care research concentrations. We will be building on our past accomplishments to strengthen this construct and address the challenges of efficient, universal access to biomedical data for knowledge engineering and application.