NIH has long collected self-designated demographic information on scientists designated as Principal Investigators (PIs) or Key Personnel and used this information to gain insights into the NIH-supported biomedical research workforce.
Our annual snapshot of how many researchers NIH supports on research project Grants, R01-equivalent Grants, P01 Grants, and R21 Grants is back.
In March 2018, we showed data suggesting that, despite still being in a state of hyper-competition (as described in this post), the severity may be lessening. The number of unique applicants for NIH research project grants (RPGs) appeared to stabilize after many years of uninterrupted growth. Furthermore, a person-based metric, called the cumulative investigator rate, started to rise in fiscal year (FY) 2015 for RPGs after declines in previous years.
For the New Year, we resolve to make NIH data, reports, and analyses more accessible, interactive, and easy to use. For over a decade, the NIH Data Book has served as a helpful resource for describing funding trends on grants and contract awards, success rates, small business programs, peer review, as well as the scientific workforce. These data, presented as graphics and tables, have allowed you to get a better understanding of decisions made here at NIH. We are proud to announce a new edition is available for your 2019 reading list.
At NIH, we are heavily invested in our workforce and in understanding the barriers they face. What characteristics do they share? How do they compete in the current hypercompetitive environment? When do they stop applying to NIH (drop out), even after receiving their first award? Staff from the National Institute of Allergy and Infectious Diseases (NIAID) delve into these questions in a paper published recently in PLOS ONE , whose findings I’d like to highlight today. Here, Drs. Patricia Haggerty and Matthew Fenton looked at factors that may contribute to the success of early-career investigators and if these factors affect all junior researchers equally.
As highlighted in many previous blog posts and the recent National Academies of Sciences, Engineering, and Medicine (NASEM) report, promoting a strong biomedical workforce is a top priority for the NIH. In 2017, NIH launched the Next Generation Researchers Initiative, which is a multi-pronged approach to increase the number of NIH-funded early stage investigators. An important component of this initiative is the call for increased transparency and availability of data about the make-up of the biomedical research workforce. More complete data will allow NIH leadership to best understand and address the needs of our emerging workforce.
We were pleased to see the interest in our recent blog on the unique number of investigators applying for and receiving NIH research project grants (RPGs). Some of you (through the blog page or through other media) have asked about whether we have similar data for our Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) program. We have generated analogous figures for SBIR and STTR grants, and today’s post shares this investigation of the question, “How many unique researchers are seeking SBIR/STTR funding?” ….
Last year, Kimble et al. published the findings of a workshop held at the University of Wisconsin on proposed strategies to rescue biomedical research in the US. The workshop organizers brought to together a number of stakeholders, who concluded that the research community faces two chief problems: “Too many researchers vying for too few dollars; too many postdocs competing for too few faculty positions.” These conclusions raises at least two questions: How many scientists, or more specifically how many principal investigators, does NIH fund? And how many scientists (more specifically aspiring principal investigators) want to receive NIH funding? Today I’d like to discuss two ways to examine these questions, by looking at the number of principal investigators awarded funding, not just on a yearly basis, but also in a way that captures a broader view of NIH-supported scientists over a window of time. ….
A Look at the Latest Success, Award and Funding Rates…and More
We frequently talk about the different ways of analyzing NIH funding. Let’s revisit this topic so I can provide you with the latest numbers. As a reminder, …..
Let’s delve a bit deeper into one of your and my favorite topics: success rates. Most of you monitor success rates as an indicator of NIH funding trends but also as the main way to determine your chances of receiving an NIH award. But what exactly do these rates mean? ….