As a graduate student, one is asked to read and interpret quite a few research and review papers every week. Usually, most of the articles represent data in the form of mundane tables and histograms, which can get tedious. Recently, I read this nature review article on zoonotic diseases (diseases spread between humans and animals, for example, malaria, west nile virus infection, ebola, H1N1 flu, etc) and was really impressed by the unique and creative way the data is represented in it.
NOTE: All images and image captions copyrighted to – Bean AG, Baker ML, Stewart CR, Cowled C, Deffrasnes C, Wang LF, Lowenthal JW. Studying immunity to zoonotic diseases in the natural host – keeping it real. Nature Reviews Immunology. Published online 25 October 2013. doi: 10.1038/nri3551
Figure 1: Emergence of zoonoses. / Tombstones representing number of deaths!
Figure 2: The severity of emerging infectious diseases is influenced by the host-pathogen interaction. / Organisms in the innermost circle (bats) show no sign of symptoms at all and the signs increase as one moves to the organisms in the outer circle (humans) – leading to high mortality rates. Mainly, animals in the inner blue circle are the transmission hosts. Read ‘The curious case of MERS-CoV‘ for more on MERS transmission hosts.
Figure 3: The host immune response to an infection influences the disease outcome. / The difference in immune response to H5N1 in different spillover hosts.
I think it is really important to represent scientific data in a simple, straightforward and an efficient fashion. Many researchers disregard this fact and don’t acknowledge it well enough. A really good diagram or data representation is one which contains all important facts or information required to infer the purpose of the diagram itself. One must be able to simply look at it to make interpretations and get the general idea without having to go too much into the depth of long procedures and discussions in the paper. (Sometimes exceptions exists w.r.t. the kind of paper & data, of course.)