Scientific workflows often begin as research workflows and end up as production workflows. Early in their lifecycle ,
thay require considerable human intervention and collaboration ; later they begin to be executed more automatically . Thus,in the production mode , there is typically less room for collaboration at the scientific level , and the computations are mire long-lived. During the research phase,scientific workflows need to be enacted and animated (fake enactment) far more intensive than its counterpart in business workflows , the emphasis is on execution with a view to design,and thus naturally includes iterative execution. The corresponding activity can be understood as "business process engineering " (BPE).For this reason,the approaches for constructing managing,and coordinating process models are useful also in scientific setting.