Drug Ingredients and Development Process

This data package gives access to FDA inactive ingredients data. For new drug development purposes, once an inactive ingredient has appeared in an approved drug product for a particular route of administration, the inactive ingredient is not considered new and may require a less extensive review the next time it is included in a new drug product. The data package also includes the FDA Drug Dissolution Methods data that FDA is providing to aid industry personnel in developing generic drug products. The data package also enlists potentially hazardous products with hidden ingredients marketed to consumers on the internet and in retail establishments.

The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the Data Library  on AWS. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

1. Drugs Inactive Ingredients Database

The Inactive Ingredient Database provides information on inactive ingredients present in Food and Drug Administration (FDA) approved drug products. This information can be used by industry as an aid in developing drug products.

2. FDA Drug Dissolution Methods

For a drug product that does not have a dissolution test method in the United States Pharmacopeia (USP), the Food and Drug Administration (FDA) Dissolution Methods Database provides information on dissolution methods presently recommended by the Division of Bioequivalence, Office of Generic Drugs.

3. Tainted Products Marketed as Dietary Supplements

The tainted products marketed as dietary supplements dataset includes a small fraction of the potentially hazardous products with hidden ingredients marketed to consumers on the internet and in retail establishments.

We deliver high-quality data

• Each dataset goes through 3 levels of quality review
  • 2 Manual reviews are done by domain experts
  • Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
• Data is normalized into one unified type system
  • All dates, unites, codes, currencies look the same
  • All null values are normalized to the same value
  • All dataset and field names are SQL and Hive compliant
• Data and Metadata
  • Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
  • Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
• Data Updates
  • Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

Our data is curated and enriched by domain experts

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:

• Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
• Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
• Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
• The data is always kept up to date – even when the source requires manual effort to get updates
• Support for data subscribers is provided directly by the domain experts who curated the data sets
• Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

• If you have questions about our products, contact us at info@johnsnowlabs.com .

John Snow Labs , an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.