Funding for Various Conditions and Diseases
Description
National Institutes of Health (NIH) funding (grants/contracts) for various research, condition, and diseases.
Summary
Original data set from the NIH here: https://report.nih.gov/funding/categorical-spending#/
Attached dataset doesn't include the footnotes, please seee the website for those details or to download another copy of the excel file.
The table displays the annual support level for various research, condition, and disease categories based on grants, contracts, and other funding mechanisms used across the National Institutes of Health (NIH), as well as disease burden data published by the National Center for Health Statistics (NCHS) at the Centers for Disease Control & Prevention (CDC).
At the request of Congress, the NIH embarked on a process to provide better consistency and transparency in the reporting of its funded research. This new process, implemented in 2008 through the Research, Condition, and Disease Categorization (RCDC) system, uses sophisticated text data mining (categorizing and clustering using words and multiword phrases) in conjunction with NIH-wide definitions used to match projects to categories. RCDC use of data mining improves consistency and eliminates the wide variability in defining the research categories reported. The definitions are a list of terms and concepts selected by NIH scientific experts to define a research category. The research category levels represent the NIH's best estimates based on the category definitions. These definitions include all aspects of the topic, such as basic, pre-clinical, clinical, biomedical, health services, behavioral, and social research.
In 2016, the NIH added mortality and prevalence data from two sources of consistent and nationally representative disease statistics provided by NCHS/CDC. These data are reported alongside the budgeting categories to provide the public and policymakers with information that is helpful for understanding the NIH research portfolio and its relationship to public health needs. However, NIH believes that the best way to understand disease burdens is by examining patterns in the larger context of multiple methods and measurements, chosen on a case-by-case basis as appropriate for each disease or condition. Further descriptions of these disease statistics can be found here.