I posted a new page today that provides a very brief overview of dynamic mechanical analysis and time-temperature superposition. You can read it here if you are unfamiliar with rheology testing or want a review.
One of the most difficult aspects of rheology is that the data, particularly that generated by dynamic mechanical analysis, can be plotted in so manner different, but more or less equivalent manners.
As you saw from Monday's post, I prefer working the storage and loss moduli (G' and G" respectively) vs. frequency, although I most often supply clients with viscosity vs. frequency since that is a simpler concept to explain. Other rheologists have a built-in bias towards working with compliances, J' and J", while others are hung up on tan δ. The strangest set of plots I ever saw was from a guy who always plotted G* vs. tan delta. The information is always the same, it's just that sometimes you have to work a little bit more to figure it out.
Part of the reason I like G' and G" is that the generic shape of these curves is well established. If something is varying from it, I can immediately pick up on it to probe for further details. If you are working with tan δ, you only have the ratio of G"/G', and the only universally significant measure then is whether it is greater than, less than or equal to 1. You have a similar issue with G*, where it can hide many details that are otherwise noticeable.
In some ways, all these different plots are fun - you need to be on your toes in order to run the mental manipulations in your head to translate the data back to your preferred reference frame. I imagine that it really would be best to work within the other frameworks much like it is best to be thinking in a foreign language that you are speaking, rather than translating it all into your native tongue, preparing your response and then translating it back into the foreign language. I'm just not sure that this would happen anywhere in the rheology world as a given lab will have a given preferred format. It's only when you start working with others labs or researchers that you might start running into this issue, but those conversations don't happen all that often - you're much more likely to talk with fellow labmates than with people in other labs.