What is Drug Data? Definition, Sources & Datasets to buy

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Eugenio Caterino
Editor & Data Industry Expert

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • FAQ

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • FAQ

What is Drug Data?

Drug data refers to information and statistics related to pharmaceutical products, including their composition, usage, efficacy, safety, adverse effects, interactions, and patient outcomes. It encompasses data from various sources such as clinical trials, electronic health records, pharmacy claims, and adverse event reporting systems.
Examples of Drug Data include information on drug names, dosages, side effects, interactions, and indications. Drug Data is used by healthcare professionals, researchers, and regulatory agencies to make informed decisions about drug safety, efficacy, and prescribing practices. In this page, youā€™ll find the best data sources for drug data.

Best Drug Databases & Datasets

Here is our curated selection of top Drug Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Xtract

Location Data | Pharmacies & Drug Store Locations in US and Canada | Polygon Data | Comprehensive Mapping

by Xtract
5.0
USA
Canada
Free sample preview
Starts at
$8,988.38 / purchase
Logo of Success.ai

Prospect Data | Biotechnology & Pharmaceutical Innovators Globally | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee

by Success.ai
5.0
USA
UK
Germany
+247
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of Medical Data Vision

Number of patients per prescribed drugs between 2013 and 2022

by Medical Data Vision
Japan
Free sample preview
Starts at
Ā„9,000,000 / purchase
Logo of CompCurve

Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API | 75,000 New IRS Liens per Year

by CompCurve
5.0
USA
Free sample preview
API available
Starts at
$11,000$8,250 / month
Logo of Consumer Edge

Basketview Signal CPG USA Data | SKU-Level Consumer Receipt Data & POS Data | CPG-Tagged Data on Leading Global Brands | 3-Day Lag, Daily Delivery

by Consumer Edge
USA
Free sample preview
Pricing available upon request
Logo of ZIGRAM

High Intensity Drugs Trafficking Area and High Intensity Financial Crimes Area

by ZIGRAM
USA
Colombia
Virgin Islands (U.S.)
+1
Pricing available upon request
Logo of Rightsify

Steel Drum Dataset for AI-Generated Music (Machine Learning (ML) Data)

by Rightsify
USA
UK
Germany
+246
Starts at
$10,000 / year
Logo of Dataplex

Dataplex: FDA Medical Device Data | 24M+ Rows of Healthcare Device Data for Research & Analysis

by Dataplex
USA
Free sample preview
Pricing available upon request
Logo of Success.ai

Pharma Data | Global Pharmaceutical Industry | Verified Profiles with Business Details | Best Price Guaranteed

by Success.ai
5.0
USA
UK
Germany
+247
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of Span Global Services

Healthcare Professional Database

by Span Global Services
4.6
USA
UK
Germany
+63
Free sample preview
Pricing available upon request

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Top Drug Data Providers & Companies

Main Attributes of Drug Data

Below, we outline the most popular attributes associated with this type of dataā€”features that data buyers are actively seeking to meet their needs.

Attribute Type Description Action
Currency Code String The currency code as per ISO 4217. View 7 datasets
Brand Name String The name of a brand. View 6 datasets
Company Name String The name of a company or business, might be the legal or brand name. View 5 datasets
Stock Ticker String The ticker symbol of a stock. View 5 datasets
Company Description Text A description of a company. View 4 datasets
Company Domain String The domain name of a company website. Potential ID to match company records. View 4 datasets

Frequently Asked Questions

What is Drug Data?

Drug data refers to information and statistics related to pharmaceutical products, including their composition, usage, efficacy, safety, adverse effects, interactions, and patient outcomes. It encompasses data from various sources such as clinical trials, electronic health records, pharmacy claims, and adverse event reporting systems.

How is Drug Data collected?

Drug data is collected through various methods, including clinical trials, observational studies, electronic health records, pharmacy databases, adverse event reporting systems, and surveys. Data collection may involve standardized protocols, patient interviews, data extraction from medical records, and automated systems for capturing real-time information.

What is Drug Data used for?

Drug data serves multiple purposes in healthcare and pharmaceutical research. It is used to evaluate the safety and efficacy of drugs, monitor adverse drug reactions, assess treatment effectiveness, guide clinical decision-making, support pharmacovigilance efforts, inform health policy development, and facilitate post-marketing surveillance of pharmaceutical products.

Whatā€™s a quality checklist for Drug Data?

A quality checklist for drug data includes considerations such as data accuracy, completeness, reliability, relevance, and timeliness. It involves assessing the source of the data, data collection methods, validation processes, documentation, data governance practices, adherence to regulatory standards, and privacy protection measures.

How is Drug Data priced?

The pricing of drug data can vary depending on several factors, including the data provider, the scope and depth of the dataset, the level of customization required, and the intended use of the data. Pricing models may include one-time purchases, subscriptions, or licensing fees based on the volume and frequency of data access.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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