Data Integrity Core

摘要/摘要-数据完整性核心 数据完整性核心(DIC)将显著提高我们解决广为人知的质量问题的能力 通过利用NIH展会，实现翻译、临床和数据科学驱动的研究的可重复性 (可查找性、可访问性、互操作性和可重用性)指导原则。DIC的目标是增加 专家级别的意见，以挑战潜在的假设和研究方法，超越经典 及时对拟议工作进行专家审查和改进。例如，我们的核心团队将提供一个独特的， 对科学战略进行独立的批评，确保方法论方法的不同视角。 DIC将专注于具体的关键功能：1)识别和管理可用的和新的数据集，以增强 由密歇根大学眼科和视觉研究人员进行的研究；2)与大学合作 密歇根大学的研究人员在研究项目中整理和分享有效的数据使用策略，包括 在NIH资助的赠款中开发创新的、前沿的方法；3)咨询和协助 研究人员确保适当的分析支持，包括执行细粒度的外部代码审查 建模以提高调查的严谨性和再现性，以及 生成的数据；以及4)将研究人员与密歇根大学和全球资源(如 如高性能计算集群、数据管理和存储设施等 密歇根的核心和教职员工。DIC的影响将是极大地提高应用和有效性 先进的数据分析策略，并加速将公平原则严格应用于愿景 研究。 核心将服务于密歇根大学NIH资助的不同群体的视觉科学家，跨越 从基础科学家到临床研究人员再到卫生服务和社区参与的研究人员。 通过这样做，它将极大地加强密歇根州和整个密歇根州的多学科、翻译合作 全球范围内更大的视野研究社区。DIC工作人员将以虚拟方式和在专用套房中提供服务 在凯洛格眼科中心的布雷姆塔内，视觉科学家可以很容易地接触到。核心将是 由克里斯·安德鲁斯博士担任工作人员，玛丽亚·伍德沃德博士和大卫·马施博士执导。DIC工作人员的排班 时间将优先考虑NEI R01资助的研究人员，其次是NEI K奖获得者，其他NIH R、U和P 资助的科学家，其他PHS U，R和P等值资助的资助，以及其他视觉科学家。

SUMMARY/ABSTRACT – DATA INTEGRITY CORE The Data Integrity Core (DIC) will significantly advance our ability to address well-publicized issues of quality and reproducibility of translational, clinical, and data science driven research by leveraging the NIH FAIR (Findability, Accessibility, Interoperability, and Reusability) Guiding Principles. The goal of the DIC is to add expert level input to challenge underlying assumptions and approaches to research, going beyond the classical timely expert review and enhancements to proposed work. For example, our core team will provide a unique, independent critique for scientific strategies, ensuring diverse perspectives for methodologic approaches. The DIC will focus on specific key functions: 1) identify and curate available and novel datasets to augment the research being performed by University of Michigan ophthalmic and vision researchers; 2) work with University of Michigan researchers to collate and share effective data-use strategies across research programs, including the development of innovative, cutting-edge approaches in NIH-funded grants; 3) consult with and assist researchers to ensure appropriate analytical support, including performing granular external code review of modelling to elevate the rigor and reproducibility of investigations and the interoperability and reusability of the data generated; and 4) interface and steward researchers to University of Michigan and global resources, such as high-performance computing clusters, data management and storage facilities, and other University of Michigan cores and faculty. The impact of the DIC will be to greatly enhance the application and effectiveness of advanced data analytic strategies and accelerate the rigorous application of FAIR principles to vision research. The Core will serve a diverse group of University of Michigan NIH-funded vision scientists, spanning the spectrum from basic scientists to clinical investigators to health services and community-engaged researchers. In so doing, it will greatly enhance multidisciplinary, translational collaborations at Michigan and across the larger vision research community globally. The DIC staff will be available both virtually and in a dedicated suite within the Brehm tower of the Kellogg Eye Center, readily accessible to vision scientists. The Core will be staffed by Dr. Chris Andrews and directed by Drs. Maria Woodward and David Musch. Scheduling of DIC staff time will prioritize NEI R01-funded investigators, followed by NEI K-award recipients, other NIH R, U, and P funded scientists, other PHS U, R and P equivalent funded grants, and other vision scientists.