Academy NIH Data Collection Project – Funding to Diagnostic Radiology2022-04-06T15:33:01-04:00
NIH Data Results
NIH Data Results

Project Mission

The NIH funding to diagnostic radiology has been reported annually since the project was initiated in the early 90s by Stanley Baum, MD. This information is tracked and shared by the Academy to show the amount of Federal funding from the NIH that goes to diagnostic radiology as well as how much of that funding is allocated across radiology departments. Shown above is a chart depicting the history of this funding between 1985 and 2019 (note the outlying increase in 2010 as a result of the American Recovery and Reinvestment Act). The raw data received from the NIH includes information on grants awarded to Principal Investigators (PI) with primary appointments in a Radiology Department at a US Medical School. Below are the steps that lead up to the publication of this data, for more detail – please see the guidelines linked at the top of the page.

  1. Removed grants to non-radiology departments from the raw NIH data.
  2. Removed MPI(s): A grant may have a Contact Principal Investigator (Contact PI) and Multiple Principal Investigators (MPIs). In prior years we counted only one PI in each department for each grant. This step ensured that we didn’t attribute a grant twice to a given medical school.
  3. Contacted Research Hospitals for their grant information: Our raw data from our NIH FOIA request does not include these institutions in their data sheet.
  4. Add the Research Hospital grant information to master data sheet.
  5. Separate our ECOG-ACRIN dollars: Funding to ECOG-ACRIN is administered to different departments included in this data collection. To be equitable to the many centers involved, it was determined not to attribute the funding to a single academic department.
  6. Sent individual department sheets to all institutions included in the DRAFT data collection document their data sheets to ensure accuracy and transparency: Departments are then given the opportunity to submit additional grants for review.
  7. Created a PivotTable in excel to add up the total grants of all medical schools and research hospitals, and then listed them in ALPHABETICAL order with the overall total at the bottom.
  8. Created a breakdown of all data in four categories and published data into excel format.
  9. Sent “early release” to all Academy member departments: As a member of the Academy, these departments received access to the final data a week before it was published publicly. If you are interested in hearing more about Academy membership you can email Emily Townley,
  10. Posted the data on the Academy website and disseminate to all departments included in the FY19 Data Collection Project.
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