Detailed Drug Facts Label Structure by NDC
收藏Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/accf2366-d4f7-4c01-a0e2-74be072a21a9/John-Snow-Labs_Detailed-Drug-Facts-Label-Structure-by-NDC
下载链接
链接失效反馈官方服务:
资源简介:
**Overview**
This data package includes FDA National Drug Code (NDC) data for finished and unfinished drugs and main FDA labels databases.
**Description**
This data package includes FDA National Drug Code (NDC) of products and packages for both finished and unfinished drugs and main FDA labels databases like detailed drug facts label structure and approved safety labeling changes by the Center for Drug Evaluation and Research (CDER).
**Benefits**
- Useful for researchers seeking for organized data related to drug labels and labeling, drug National Drug Products codes, drug package codes and other specific drug facts.
- The fields descriptions along with the dataset description are again useful for user to quick understand the data and the dataset.
**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](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
**Included Datasets**
**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- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted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](mailto:info@johnsnowlabs.com).
提供机构:
John Snow Labs



