UC Davis Clinical and Translational Science Center

项目摘要/摘要 加州大学戴维斯分校的临床和翻译科学中心(CTSC)是支持生物医学的催化剂 通过向调查人员、工作人员、学者、受训人员和社区合作伙伴提供服务和资源进行研究。 CTSC与加州大学戴维斯分校所有从事生命科学和翻译研究的学校和大学合作 支持有潜力改善医疗保健的合作项目。它提供了一个集中的资源 致力于通过创新、合作和专业知识促进生物医学研究。具体地说， CTSC：1.作为临床和翻译研究资源的中心，这将是一个无价的 为这笔赠款的成功提供资源。(2)扩展和细化协作和创新的培训 教育环境，(3)将社区合作伙伴纳入翻译研究企业，(4) 利用横切研究资源，并(5)在翻译研究中起到催化剂的作用 频谱。反恐委员会的信息学、生物伦理和社区参与资源的重点 是推进临床研究资源的高效、可扩展和合乎道德的设计和实施 数据并与其他CTSA中心协作，以利用和共享此方面的方法、实践和指导方针 域。 研究数据道德成熟度模型(自述文件)项目将寻求建立在CTSC承诺的基础上 培训下一代翻译数据科学家，并确定所使用的道德框架的成熟度 在翻译数据科学生成项目中，从项目中获取差距和分类， 利益相关者、工具和影响视角，并与新的研究开发合作，以提供增强的 在整个发展数据生命周期中使用道德框架和资源。该项目将生成一个 推广到其他环境的数据道德成熟度框架，以及新的培训和资源 围绕数据科学设计、管理、建模和应用的每个阶段。

PROJECT SUMMARY/ABSTRACT The Clinical and Translational Science Center (CTSC) at UC Davis serves as a catalyst to support biomedical research through services and resources to investigators, staff, scholars, trainees, and community partners. The CTSC partners with all UC Davis schools and colleges engaged in life science and translational research to support collaborative projects with the potential to improve health care. It provides a centralized resource dedicated to facilitating biomedical research through innovation, collaboration, and expertise. Specifically, the CTSC: 1. serves as a hub for clinical and translational research resources, which will serve as an invaluable resource for the success of this grant. (2) expands and refines a collaborative and innovative training and education environment, (3) integrates community partners into the translational research enterprise, (4) leverages crosscutting research resources, and (5) functions as a catalyst across the translational research spectrum. The focus of the CTSC informatics, bioethics and community engagement resources of the CTSC are to advance the efficient, scalable and ethical design and implementation of clinical research resources and data and collaborate with other CTSA hubs to leverage and share methods, practices and guidelines in this domain. The Research Data Ethics Maturity Model (README) project will seek build on the CTSCs commitment to training the next generation of translational data scientists, and identify the maturity of ethical frameworks used within translational data-science generating projects, capture gaps and classifications from project, stakeholder, tool and impact perspectives, and partner with new research development to provide enhanced use of ethical frameworks and resources throughout development data lifecycles. The project will generate a data ethics maturity framework for generalization to other environments, and new training and resources surrounding each stage of data science design, curation, modeling, and application.