Sold by: John Snow Labs
Deployed on AWS
This data package contains information on Structured Product Labeling (SPL) Terminology for SPL validation procedures and information on performing SPL validations.
Overview
Overview
The Structured Product Labeling (SPL) is a document markup standard approved by Health Level Seven (HL7) and adopted by the FDA as a mechanism for exchanging product and facility information. SPL documents contain both the content of labeling (all text, tables and figures) for a product along with additional machine readable information (drug listing data elements). Drug listing data elements include information about the product (product and generic names, ingredients, ingredient strengths, dosage forms, routes of administration, appearance, DEA schedule) and the packaging (package quantity and type). This data package is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation regarding Active Ingredient-Active Moiety Relationship/Basis of Strength, Combination Product Type Category, DEA (Drug Enforcement Administration) Controlled Substance List, Final All Over-the-Counter (OTC) Drugs Monograph, Final Over-the-Counter (OTC) Drugs Monograph, Not Final Over-the-Counter (OTC) Drugs Monograph and Vaccine Antigen Substances.
License Information
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.
Metadata
| Description | Value |
|---|---|
| Data Package Complexity | Simple |
| Available Enrichments | N/A |
| Keywords | SPL, Drug Dictionary, Pharmaceutical Dictionary, Drug Labels, Active Ingredient, Drug Enforcement Administration, DEA, OTC Drugs, Drug Monograph List, Vaccines Antigen Validation |
| Other Titles | Active Ingredient-Active Moiety Validation Procedures, Combination Product Type Validation Methods, DEA Schedule Controlled Substance List, SPL Validation Files for DEA Schedule, SPL Validation Files for DEA Schedule |
Included Datasets
- Active Ingredient Active Moiety Relationship Validation Procedure
This dataset is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation regarding Active Ingredient-Active Moiety Relationship/Basis of Strength.
- Controlled Substances Schedule
This dataset identifies Drug Enforcement Administration number, which category (from I to V) the controlled substance is in, whether or not it is narcotic and other names of the controlled substances.
- DEA Controlled Substance Validation Procedure
This dataset is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation regarding DEA (Drug Enforcement Administration) Controlled Substance List.
- DEA Exempted Substance Validation Procedure
This dataset is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation regarding DEA (Drug Enforcement Administration) Exempted Substance List.
- Structured Product Labeling Validation Procedures
This dataset is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation of the "Final Over-the-Counter (OTC) Drugs Monograph", "Final All Over-the-Counter (OTC) Drugs Monograph", "Not Final Over-the-Counter (OTC) Drugs Monograph" and "Combination Product Type Category under the NCI Code C102833".
- Vaccine Antigen Substance Validation Procedure
This dataset is a Structured Product Labeling (SPL) Terminology File for SPL validation procedures and contains information on performing SPL validation regarding Vaccine Antigen Substances.
Data Engineering Overview
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.
Need Help?
- If you have questions about our products, contact us at info@johnsnowlabs.com .
About Us
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.
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Pricing
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Dimensions summary
This listing has one pricing dimension: Product Access (Units). It is free, so you pay nothing to subscribe. The single dimension grants you access to the product. There are no tiers, instance sizes, or usage add-ons to choose between. You run the software on your own infrastructure, and no data or results are sent back to the vendor. Support is provided by email during US business days. Because there is only one option, pricing does not scale by usage, users, or documents within this listing.
Top-of-mind questions for buyers
The unit grants access to the validation method software. You run it on your own infrastructure. Recommended specs depend on your use case: inference may need as little as 1 core and 16GB, while training larger models needs more cores and memory. You supply and manage the compute.
No. There is no limit imposed on the number of characters, words, or documents you process. There is also no cap on pipelines or the number of users. Because this listing is free with a single access dimension, cost does not scale with any of these factors.
No data or results are sent to the vendor. You install and run the software on your own infrastructure, and it does not "call home." An internet connection is needed to validate the license key when starting a session. For airgap deployments, contact the vendor's sales team.
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No refunds offered. For any questions email us at info@johnsnowlabs.com
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Content disclaimer
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Active Ingredient Active Moiety Relationship Validation Procedure | All historical revisions | All future revisions | Not included | |||
Controlled Substances Schedule | All historical revisions | All future revisions | Not included | |||
DEA Controlled Substance Validation Procedure | All historical revisions | All future revisions | Not included | |||
DEA Exempted Substance Validation Procedure | All historical revisions | All future revisions | Not included | |||
Structured Product Labeling Validation Procedures | All historical revisions | All future revisions | Not included | |||
Vaccine Antigen Substance Validation Procedure | All historical revisions | All future revisions | Not included |
Resources
Vendor resources
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