Clinical and Translational Science Center, Weill Cornell Medical College, New York, New York, USA.
Department of Population Health Sciences, Weill Cornell Medical College, New York, New York, USA.
J Am Med Inform Assoc. 2022 Aug 16;29(9):1559-1566. doi: 10.1093/jamia/ocac100.
Both academic medical centers and biomedical research sponsors need to understand impact of scientific funding to determine value. For the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) hubs, tracking research activities can be complex, often involving multiple institutions and continually changing federal reporting requirements. Existing research administrative systems are institution-specific and tend to focus only on parts of a greater whole. The goal of this case report is to describe a comprehensive data model that addresses this gap.
Web-based Center Administrative Management Program (WebCAMP) has been developed over a period of over 15 years in the context of CTSA hubs, with the recent addition of T32 programs. Its data model centers around the key concepts of people, projects, resources (inputs), and outcomes (outputs).
The WebCAMP data model and associated toolset for biomedical research administration integrates multiple components of the research enterprise, has been used by our CTSA hub for over 15 years and has been adopted by more than 20 other CTSA hubs.
To the best of our knowledge, this study is among the first to describe a comprehensive data model for biomedical research administration. Opportunities for future work include improved grant tracking through the development of a universal identifier that spans public and private funders, and a more generic outcomes tracking model able to rapidly incorporate new outcome types.
We propose that the WebCAMP data model, or a derivative of it, could serve as a future standard for research administrative data warehousing.
学术医学中心和生物医学研究赞助商都需要了解科学资助的影响，以确定其价值。对于美国国立卫生研究院（NIH）临床与转化科学奖（CTSA）中心来说，跟踪研究活动可能很复杂，通常涉及多个机构和不断变化的联邦报告要求。现有的研究管理系统是机构特定的，往往只关注更大整体的一部分。本案例报告的目的是描述一个全面的数据模型，以解决这一差距。
基于 CTSA 中心，在过去 15 年以上的时间里开发了基于网络的中心行政管理计划（WebCAMP），最近还增加了 T32 项目。其数据模型围绕着人员、项目、资源（投入）和成果（产出）这三个关键概念。
WebCAMP 数据模型和相关的生物医学研究管理工具集集成了研究企业的多个组件，已被我们的 CTSA 中心使用超过 15 年，并被 20 多个其他 CTSA 中心采用。
据我们所知，这项研究是第一个描述生物医学研究管理的全面数据模型的研究之一。未来的工作机会包括通过开发一个跨越公共和私人资助者的通用标识符来改进资助跟踪，以及一个能够快速纳入新成果类型的更通用的成果跟踪模型。
我们提出，WebCAMP 数据模型或其衍生模型可以作为未来研究管理数据仓库的标准。
