It dawned on me that with the list of competing R01 grants from 2001 to 2014, I could identify investigators who received competing R01 grants in FY2014, but who had not received any such grant from FY2001-FY2013. This represents a reasonable method for identifying New Investigators although it will over-count those who had received substantial non-Ro1 support from NIH previously. Using this approach, I identified 1352 "New Investigators" out of a total of 5001 total competing R01s. This number of "New Investigators" is consistent with the expected number based on the recent data that I obtained from NIH.
Of the 5001 grants, 1438 are Type 2 (competing renewal) awards. This leaves 3563 Type 1 (new) awards. Of these 1352 went to "New Investigators" leaving 2211 new awards going to investigators who had previous received an R01 award from NIH.
My list does not distinguish Early Stage Investigators from other New Investigators. Further work will be required to try to sort this out. Nonetheless, I can examine factors such as the distributions across NIH Institutes and Centers, institutions, etc.
The distribution across NIH Institutes and Centers is shown below:
|IC||Total R01s||New PI||New/Total|
This list does show some differences between ICs (in terms of the ratio of "New Investigator" awards to total competing Ro1s.
While this approach is based on some assumptions, it should be quite useful for estimating such parameters in a better than "back of the envelope" sense. Suggestions for other parameters to look at are welcome.