Data Integrity Core

数据完整性核心

• 批准号: 10707298
• 负责人: Maria Anneke Woodward
• 金额: $ 7.3万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-05-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10707298
• 关键词: Acceleration; Address; Algorithms; Bioinformatics; Clinical Investigator; Clinical Sciences; Code; Collaborations; Communities; Consult; Critiques; Data; Data Analytics; Data Science; Data Set; Data Storage and Retrieval; Dedications; Development; Effectiveness; Ensure; Eye; FAIR principles; Faculty; Funding; Goals; Grant; Health Services; High Performance Computing; Investigation; K-Series Research Career Programs; Life Cycle Stages; Methodology; Michigan; Modeling; Monitor; Production; Publishing; Reproducibility; Research; Research Personnel; Resources; Schedule; Scientist; Structure; Time; Training; Translational Research; United States National Institutes of Health; Universities; Vision; Vision research; Work; cluster computing; data integrity; data management; data quality; data reuse; data science resource; eye center; innovation; interoperability; multidisciplinary; novel; open source; programs; tool; virtual

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.

摘要/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质量良好问题的能力 以及通过利用NIH博览会的翻译，临床和数据科学驱动研究的可重复性 （可发现性，可访问性，互操作性和可重复性）指导原则。 DIC的目标是添加 专家级别的投入挑战基本假设和研究方法，超越了经典 及时对拟议工作的专家审查和增强功能。例如，我们的核心团队将提供独特的， 独立的科学策略的独立关键原理，确保潜水员对方法论方法的看法。 DIC将重点关注特定的关键功能：1）识别和策划可用的可用数据集，以增强 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 密歇根州的研究人员将整理和共享跨研究计划的有效数据使用策略，包括 NIH资助的赠款的创新，尖端方法的发展； 3）咨询并协助 研究人员确保适当的分析支持，包括执行颗粒状外部代码审查 建模以提升投资的严格性和可重复性以及互操作性和可重复性 生成的数据； 4）接口和管家研究人员到密歇根大学和全球资源，例如 作为高性能计算集群，数据管理和存储设施以及其他大学 密歇根州的核心和教师。 DIC的影响将大大提高应用和有效性 高级数据分析策略，并加速了公平原则的严格应用 研究。 该核心将为密歇根大学NIH资助的视觉科学家提供服务，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的范围。 这样一来，它将大大增强密歇根州和整个跨学科的翻译合作 全球更大的视力研究社区。 DIC工作人员将实际上和专用套件可用 在Kellogg眼中的Brehm塔中，视觉科学家很容易进入。核心将是 由克里斯·安德鲁斯（Chris Andrews）博士组成，由Drs执导。玛丽亚·伍德沃德（Maria Woodward）和大卫·马斯（David Musch）。 DIC员工安排 时间将优先考虑NEI R01资助的调查人员，其次是Nei K-award接受者，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愿景科学家。