Scientific investigation and simulation have been producing increasingly large datasets. Usually that kind of data is visualized employing some Scientific Visualization technique. Another related field, Information Visualization, deals with non-scientific large scale data, using different approaches to achieve an effective understanding. This paper aims to bring these two fields together, proposing a taxonomy for volume visualization, employing Information Visualization techniques, particularly the focus and context idea. A prototype is being developed, which aims to implement and evaluate a number of solutions for this problem, identifying through demonstration which applications would benefit most from focus+context approaches. This paper describes work in progress.