Longitudinal data on the NIH PI population (UPDATED)
March 8, 2014
Jocelyn Kaiser at ScienceInsider has obtained data on PI numbers from the NIH.
I think this graph should be pinned up right next to Sally Rockey’s desk. It is absolutely essential to any attempts to understand and fix grant application success rates and submission churning.
UPDATE 03/12/14: I should have noted that this graph depicts PIs who hold R01-equivalent grants (R01, R23, R29, R37 with ARRA excluded). The Science piece has this to say about the differential from RPG:
NIH shared these data for two sets of grants: research project grants (RPGs), which include all research grants, and R01 equivalents, a slightly smaller category that includes the bread-and-butter R01 grants that support most independent labs.
But if you read carefully, they’ve posted the excel files for both the R01-equivalents and RPG datasets. Woo-hoo! Let’s get to graphing, shall we? There is nothing like a good comparison graph to make summary language a little more useful. Don’t you think? I know I do….
A “slightly smaller category” eh? Well, I spy some trends in this direct comparison. Let’s try another way to look at it. How about we express the difference between the number of RPG and R01-equivalent numbers to see how many folks have been supported on non-R01/equivalent Research Project Grants over the years…
Well I’ll be hornswaggled. All this invention of DP-this and RC-that and RL-whatsit and all the various U-mechs and P01 (Center components seem to be excluded) in recent years seemingly has had an effect. Sure, the number of R01 equivalent PIs only slightly drifted down from the end of the doubling until now (relieved briefly by the stimulus). So those in NIH land could say “Look, we’re not sacrificing R01s, our BreadNButter(TM) Mech!”. But in the context of the growth of nonR01 RPG projects, well….hmmm.