There has been a lot of focus on early stage investigator (ESI) extension requests in the community recently. And we certainly understand why. The experience of the COVID-19 public health emergency has brought into sharp focus that the effects of the pandemic on careers and life in general may continue for years to come. This fact has led us to revisit our approach to granting ESI extension requests.
A cautionary tale about a breach of review integrity in the guise of a normal professional interaction.
Our modernized RePORTER site features a new application programming interface (API) that makes it easier to find, access, and reuse the grants data you need.
Take a few minutes and join us for this NIH All About Grants podcast mini-series on Early Stage Investigators (ESIs). In part 1 of this two-part conversation, we touch on NIH’s interest in supporting ESIs, who is and is not an ESI, the benefits afforded to ESIs, and more. We discuss extending one’s ESI status in part 2.
Since launching in 2017, NIH’s Next Generation Researchers Initiative (NGRI) is continuing to address longstanding challenges faced by researchers trying to embark upon and sustain independent research careers as well as to promote the stability and diversity of the biomedical research workforce. Today, we are sharing data on our progress towards increased support for ESIs and other targeted groups.
NIH recently updated its Research, Condition, and Disease Classification (RCDC) system with FY 2020 actual spending data and estimates for FY 2021 and 2022. “Coronaviruses” is a new category as part of this update.
Common Data Elements (CDEs) are a type of health data standard that is commonly used and reused in both clinical and research settings. CDEs provide a way to standardize data collection—ensuring that data are collected consistently, and otherwise-avoidable variability is minimized.
In a previous post, we looked at the gender distribution of designated principal investigators (PI’s) of R01 and RPG applications submitted before and after the onset of the COVID-19 pandemic. Here we look at NIH R01 and RPG application patterns for January 1 through April 8 over the past 6 years; these applications patterns may well reflect longer-term pandemic effects.
Now that fiscal year (FY) 2020 grants data are available in the NIH Data Book, let’s see how many unique scientists sought support on NIH research project grants. The “cumulative investigator rate,” a person-based metric that looks at the likelihood that unique investigators are funded over a five-year window, has moved in a positive direction in recent years, and we were pleased to see the trend mostly continue into FY 2020.
To fully benefit from the exponentially growing body of biomedical data, we need cutting-edge approaches that foster data access, analysis, sharing, and collaboration so novel scientific questions can be pursued. But the sheer volume, sometimes siloed nature, along with the costs and time associated with analyzing large datasets, can be difficult for some researchers. Recognizing these concerns, NIH is helping by hosting large data sets and bringing together computational tools and cloud technologies in ways that support open access, interoperability, and collaborative analyses. We encourage you to explore how these resources may help accelerate your research in ways not possible before. Read on for more…