Salami slicing, the practice of extracting multiple papers from the one data set, is generally considered unsound practice in publication. To date critique of this view in the literature is limited. The aim of this paper is to present alternative views to challenge the concept of salami slicing as inherently negative. More specifically the paper will discuss the potential consequences of producing thin and underdeveloped findings with insufficient scope for detailed discussion and articulation of the contribution to knowledge. Practical tips for dealing with multiple papers from one data set will provided.