Leading health institutions, government agencies, education and research institutions, as well as medical product developers around the world have recognized the substantial potential of computational modeling and simulation (M&S) to support clinical research and decision making in healthcare, e.g., [1]. Consequently, research activities in computational medicine are growing at a significant rate and notable discoveries are being made [2]. However, the mechanisms or processes necessary to appropriately translate these research activities and discoveries in computational methods to clinical practice are lacking. Moreover, there is substantial research diversity in the field such that subject matter experts within and across mathematical and biological disciplines tend to have their own interpretation of credible practice in M&S [3–5]. Additionally, tools and good practice guidelines established by individual disciplines or research areas do not readily transfer across other disciplines or are not adopted by different fields.

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