FDA Orange Book: This contained 4 datasets: patents, exclusivity, ingredients, and products.
Patents: Contains patent number and expiration dates of FDA approved drugs.
Exclusivity: Contains information on drugs that were granted exclusivity by the FDA. Exclusivity provides protection from new market competition for a short time.
Ingredients: Contained information on the active ingredients in drugs.
Products: Contained the trade name for the drug, the company that developed the drug, and whether the drug was brand or generic.
Drug Price: This dataset contained the prices paid by pharmacies to acquire the drug.
NIH Funding: Contained the NIH finding for disease research areas for 2013 to 2018 (estimated) and the prevalence of the disease.
Drug Disease: Dataset linking drugs was the disease that they treat.
trade_name: the trade name of the drug
drug_type: the drug type (B: Brand or G: Generic)
otc: over the counter drug (Yes or No)
pricing_unit: EA for each, GM for gram, and ML for milliliters
year: the funding and pricing year
avg_price: the average price for the particular year
dose_form: the dose form (tablet, solution, solution injectable)
route: route of administration (oral or IV)
strength: the strength of the dose
application_no: the FDA assigned number to the drug application.
product_no: The FDA assigned number to identify the application products; used for joining datasets.
approval_year: the year the patent was approved
app_full: the full name of the company that developed the drug
active_ingredient: the active ingredient
ingredient: the active ingredients in a wide format; used for joining datasets
patent_num: the patent number
pediatric_exclusivity_granted: yes or no
year_pat_expires: the patent expiration year
year_excl_expires: the exclusivity expiration year
disease: the disease the drug treats
prevalence: the disease prevalence for 2015
US_mortality_2015: the disease mortality rate
funding: the NIH funding for disease research in millions
disease_type: the type disease (acute or chronic)