Data Integrity Core

总结/摘要-数据完整性核心 数据完整性核心（DIC）将大大提高我们解决广为人知的质量问题的能力 和再现性的转化，临床和数据科学驱动的研究，通过利用NIH FAIR （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 专家级的投入，挑战基本的假设和研究方法，超越传统的 及时进行专家审查并改进拟议工作。例如，我们的核心团队将提供一个独特的， 对科学策略进行独立的批评，确保方法论方法的多样性。 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 密歇根大学眼科和视觉研究人员正在进行的研究; 2）与大学合作 密歇根州的研究人员整理和共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、尖端的方法; 3）咨询并协助 研究人员确保适当的分析支持，包括执行外部代码审查， 建模，以提高调查的严谨性和可重复性以及 生成的数据;以及4）与密歇根大学和全球资源（如 作为高性能计算集群，数据管理和存储设施，以及其他大学 密歇根核心和教师。DIC的影响将大大提高应用和有效性 先进的数据分析策略，加速FAIR原则在视觉中的严格应用 research. 核心将服务于密歇根大学NIH资助的视觉科学家的多元化群体，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研究人员。 通过这样做，它将大大加强在密歇根州和整个跨学科，翻译合作 更大的视觉研究社区全球。DIC的工作人员将在虚拟和专用套房中提供服务 在凯洛格眼科中心的Bavelm塔内，视觉科学家随时可以到达。芯会 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·穆什博士担任导演。DIC工作人员的日程安排 时间将优先考虑NEI R 01资助的研究者，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同等资助的赠款，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.