Vivli: A Generalist Repository For Clinical Trials Data

Vivli：临床试验数据的综合存储库

• 批准号: 10413637
• 负责人: Rebecca H Li
• 金额: $ 34.19万
• 依托单位: VIVLI, INC.
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-22 至 2025-12-21
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10413637
• 关键词: Adopted; Architecture; Awareness; Clinical Trials; Data; Data Science; Ecosystem; FAIR principles; Funding; Infrastructure; Mission; Modernization; Reporting; Research Personnel; Services; Strategic Planning; Training; United States National Institutes of Health; Vision; Work; cohesion; collaborative approach; data ecosystem; data management; data resource; data reuse; data sharing; data submission; generalist repository; social

Abstract: The vision of the Generalist Repository Ecosystem Initiative (GREI) is to develop collaborative approaches for data management and sharing through inclusion of established generalist repositories in the NIH data ecosystem and better enable search and discovery of NIH funded data in the generalist repositories. This is one of the steps in the modernization of the data resources ecosystem and aligns with the NIH Strategic Plan for Data Science. The primary mission of the Generalist Repository Ecosystem Initiative is to establish a common set of cohesive and consistent capabilities, services, metrics, and social infrastructure across various generalist repositories. A secondary mission is to also raise general awareness and facilitate researchers to adopt FAIR principles to better share and reuse data. The objectives of the project are to work together with the other awardee teams to develop a “co-opetition plan” that include a commitment to a solution architecture, data submission and QA/QC capabilities to support relevant use cases, train and educate users, as well as provide usage analytics and reporting to the NIH.

抽象的： 通才存储库生态系统倡议（GREI）的愿景是通过在NIH数据生态系统中包含既定的通才存储库来开发数据管理和共享的协作方法，并更好地启用通用存储库中NIH资助的数据的搜索和发现。这是数据资源生态系统现代化的步骤之一，并与NIH数据科学战略计划保持一致。 通才存储库生态系统倡议的主要使命是建立一组共同的凝聚力和一致的能力，服务，指标和社会基础设施。次要任务是提高一般意识，并促进研究人员采用公平原则以更好地分享和重复使用数据。 该项目的目标是与其他获奖者团队一起制定“合作计划”，其中包括对解决方案体系结构，数据提交和质量控制功能的承诺，以支持相关用例，培训和教育用户，以及向NIH提供使用分析和报告。