Schlaeppi Anjalie, Adams Wilson, Haase Robert, Huisken Jan, MacDonald Ryan B, Eliceiri Kevin W, Kugler Elisabeth C
Morgridge Institute for Research, 330 N Orchard St, Madison WI, USA.
Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, USA.
Front Bioinform. 2022 Apr;2. doi: 10.3389/fbinf.2022.889755. Epub 2022 Apr 14.
With an increase in subject knowledge expertise required to solve specific biological questions, experts from different fields need to collaborate to address increasingly complex issues. To successfully collaborate, everyone involved in the collaboration must take steps to "". We thus present a guide on truly cross-disciplinary work using bioimage analysis as a showcase, where it is required that the expertise of biologists, microscopists, data analysts, clinicians, engineers, and physicists meet. We discuss considerations and best practices from the perspective of both users and technology developers, while offering suggestions for working together productively and how this can be supported by institutes and funders. Although this guide uses bioimage analysis as an example, the guiding principles of these perspectives are widely applicable to other cross-disciplinary work.
随着解决特定生物学问题所需的学科知识专业技能不断增加,来自不同领域的专家需要合作以应对日益复杂的问题。为了成功开展合作,参与合作的每个人都必须采取措施“”。因此,我们以生物图像分析为例,展示了一份关于真正跨学科工作的指南,其中要求生物学家、显微镜学家、数据分析人员、临床医生、工程师和物理学家的专业知识相互融合。我们从用户和技术开发者的角度讨论了注意事项和最佳实践,同时提供了关于高效合作的建议以及机构和资助者如何提供支持。尽管本指南以生物图像分析为例,但这些观点的指导原则广泛适用于其他跨学科工作。