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Incorporating Collaboratory Concepts Into Informatics In Support Of Translational Interdisciplinary Biomedical Research

机译:将协作概念整合到信息学中,以支持跨学科的生物医学研究

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摘要

Due to its complex nature, modern biomedical research has become increasingly interdisciplinary and collaborative in nature. Although a necessity, interdisciplinary biomedical collaboration is difficult. There is, however, a growing body of literature on the study and fostering of collaboration in fields such as computer supported cooperative work (CSCW) and information science (IS). These studies of collaboration provide insight into how to potentially alleviate the difficulties of interdisciplinary collaborative research. We, therefore, undertook a cross cutting study of science and engineering collaboratories to identify emergent themes. We review many relevant collaboratory concepts: (a) general collaboratory concepts across many domains: communication, common workspace and coordination, and data sharing and management, (b) specific collaboratory concepts of particular biomedical relevance: data integration and analysis, security structure, metadata and data provenance, and interoperability and data standards, (c) environmental factors that support collaboratories: administrative and management structure, technical support, and available funding as critical environmental factors, and (d) future considerations for biomedical collaboration: appropriate training and long-term planning. In our opinion, the collaboratory concepts we discuss can guide planning and design of future collaborative infrastructure by biomedical informatics researchers to alleviate some of the difficulties of interdisciplinary biomedical collaboration.
机译:由于其复杂性,现代生物医学研究在本质上已变得越来越跨学科和协作。尽管有必要,但是跨学科的生物医学合作还是很困难的。但是,在诸如计算机支持的合作工作(CSCW)和信息科学(IS)等领域,有关研究和促进合作的文献越来越多。这些合作研究为如何缓解跨学科合作研究的困难提供了见识。因此,我们对科学和工程合作进行了跨领域研究,以识别新兴主题。我们回顾了许多相关的协作概念:(a)跨多个领域的通用协作概念:通信,公共工作区和协调以及数据共享和管理,(b)具有特定生物医学意义的特定协作概念:数据集成和分析,安全性结构,元数据和数据来源,以及互操作性和数据标准,(c)支持合作的环境因素:行政和管理结构,技术支持以及作为关键环境因素的可用资金,以及(d)生物医学合作的未来考虑因素:适当的培训和长期合作学期计划。我们认为,我们讨论的协作概念可以指导生物医学信息学研究人员规划和设计未来的协作基础架构,以减轻跨学科生物医学协作的某些困难。

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