As I mentioned in an earlier post, the NIH Data Book on RePORT.nih.gov contains biomedical workforce data from NIH databases as well as data from national surveys sponsored by NSF and NIH. I thought it would be interesting to highlight the data on what’s trending for NIH-supported trainees and fellows receiving PhDs, in terms of fields of study.
The R01 research project grant is NIH’s mainstay grant mechanism and is used for much of our investigator-initiated research. When talking about about NIH funding, the subject that most often comes up is the R01 and how support for R01s may be changing over time. Recently I received numerous inquiries about whether the duration of the R01 has been shrinking. ….
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“It was the best of times, it was the worst of times.” Until recently, we’d never have dreamed of mentioning the famous opening line of Charles Dickens’ Tale of Two Cities in the context of U.S. biomedical research. But now those words ring all too true. ….
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Besides our data and analyses here on Rock Talk, the NIH Data Book on RePORT.NIH.gov should be your first stop when looking for longitudinal and historical data on budget, funding rates, and other facts about NIH funding. The NIH Data Book also contains national biomedical workforce data such as statistics on graduate students and postdocs in the biomedical, behavioral, social and clinical sciences using data from the NSF-NIH Survey of Graduate Students and Postdoctorates in Science and Engineering. The latest data from this survey (2011) are available and ….
The NIH Data Book also contains national biomedical workforce data such as statistics on graduate students and postdocs in the biomedical, behavioral, social and clinical sciences using data from the Survey of Graduate Students and Postdoctorates in Science and Engineering.
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As I’ve blogged about before, in response to the recommendations of the Advisory Committee to the NIH Director (ACD) working group that studied the biomedical research workforce, we are implementing changes to the NIH Pathway to Independence (K99/R00) awards. ….
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Last August, I wrote on the number of investigators applying for NIH grants. Several readers correctly noted that the increase we showed in the number of applicants was based on the number of investigators submitting at least one application in a given year (rather than, say, all investigators “in the system”). ….
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In August I presented data regarding the well-known increase in applications to NIH over the past decade. In “More Applications, Many More Applicants” we looked at the source of increase in competing applications, and presented data on the numbers of unique NIH applicants per year. ….
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Early in his tenure as director of NIH, Francis Collins detailed five major areas of opportunity for NIH research. One of these areas is an increased focus on global health. An emphasis on global health research is nothing new at NIH; the lead story in the inaugural issue of the NIH Record newsletter in 1949 described NIH’s efforts to combat disease in Africa. ….
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As I’ve been discussing the biomedical research workforce with people in the extramural community over the past few months, I’ve heard people say things like “PhDs don’t do much research with human subjects”. I decided to look into data that could support or refute statements such as this, and started with checking data on the use of animal and human subjects in research.
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As a followup to my recent blog post on fiscal year 2012 success rates, I’d like to post an update of an earlier blog post where I explained how paylines, percentiles and success rates relate to one another. It’s a long one, but should be helpful in understanding what we mean when we look at success rates.
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