I could not agree more to your description of what the life after your PhD seems to be. The only other workday activities you are missing out are probably (a) t

I could not agree more to your description of what the life after your PhD seems to be. The only other workday activities you are missing out are probably (a) travelling, meetings, and conferences [lots] and (b) reading papers [hundreds/year]. However, I fail to see how "research maps" would improve our way to catalog and analyze information. What is shown in your ref [1] is a regulatory network. These models have been used for years to drive research into diseases ranging from cancer to neurodegenerative diseases. And, there is (at least in the biomedical sciences) a very vibrant community dedicated to that very job, the "bio-curators" [http://www.biocurator.org/ http://www.biocurator.org/] that directly or indirectly fill (relational) bio-repositories. "Research maps" like STRING, Reactome, PIR, BioCyc, or KEGG, to name a few, have been around for quite a while, too. So I think the claim in [1] that Silva has "invented" "research maps" is a quite some PR exaggeration, as this can be simply described as a "Reactome limited to Neuroscientists only".