Posts Tagged ‘grantproposals’

Summary statements, Part Deux

June 17, 2009

What do reviewers react to in reviewing proposals from our Science and Engineering faculty? Three years ago an analysis was done of 6 summary statements after R01s were reviewed and were mostly unscored.   Both “good” and “bad” summary statement comments were summarized (the ordinate indicates number sof comments appearing for each category):

R01 analysis

R01 analysis

So, despite worries that productivity is the main stumbling block (bad teaching loads and the like), instead the criticisms centered on the usual things that grant proposals fail on:  too ambitious,  feasibility not demonstrated, and poor writing (confusing layout of ideas and plans).  Note on the praiseworthy factors that our S&E faculty appear to be innovative and well-qualified.  Where there are pilot data, they are convincing.  Less frequently occuring good comments were on the collaborations (perhaps these proposals didn’t include many) and on the research environment of the Bay area.


NIH AREA eligibilities, clarified

June 17, 2009

OK, here are the facts. They are complicated. Please hang on.

For the June submission of traditional AREA, ONLY THE SCHOOL OF NURSING FACULTY ARE ELIGIBLE

For the September submission of the Stimulus AREA, ALL FACULTY FROM ALL SCHOOLS (as long as they are doing health-related research) ARE ELIGIBLE

For the October submission of the traditional AREA, all bets are off.  There are indications that all faculty will be eligible, but we must wait until the guidelines are released.

So we can plan, please answer the polls below.

Do I need pilot data? And other ponderables

June 10, 2009

Yes Virginia, you do need pilot data.  I just finished reading summary statements for an innovative research proposal involving children , that was theory-based and had a strong team. This was an R01 to the National Institute of Child Health and Human Development (NIH).  The reviewers fell all over themselves praising the proposal, but it only achieved a 36.5 percentile score.  The problem? There were no pilot data *for the control condition*.  At the risk of ranting, here is a continuum of desirability in submitting NIH proposals re: pilots (from less desirable to most):   pilot data,  pilot data that show an effect,  pilot data that show an effect in the direction hypothesized in the proposal, published pilot data in the direction hypothesized, pilot data published in a strong peer-reviewed journal with yourself as either first or last author.  You may ask yourself, is the last one really necessary? Well, consider that you have 2 times up at bat. That means you *must get scored* on the first submission in order to get a fundable score on the resubmission.  And consider the competition.

NIAID grant tutorials

June 9, 2009

The Natl Inst for Allergy and Infectious Diseases has a very nice web page devoted to helping investigators with their grant proposals.

Included is the “NIH grant cycle” that leads investigators around the process of applying for and managing their research grants.

I think they do a very good job of decoding mysterious facets of grants at NIH.