aeolus

is a Data Source.

AEOLUS (Adverse Event Open Learning through Universal Standardization) is a curated and standardized version of the FDA Adverse Event Reporting System (FAERS) that removes duplicate case records and applies standardized vocabularies, with drug names mapped to RxNorm concepts and outcomes mapped to SNOMED-CT concepts, providing pre-computed summary statistics about drug-outcome relationships.

Domains

clinical, pharmacology, drug discovery, health, biomedical

License

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Homepage

aeolus

Repository

Unknown

Infores ID

infores:aeolus

FAIRsharing ID

Unknown

Product Summary

Contacts

Juan M. Banda

Lee Evans

Rami S. Vanguri

Nicholas P. Tatonetti

Patrick B. Ryan

Products

From this Resource
ID Name URL Category Format Description
aeolus.standardized_data AEOLUS Standardized FAERS Data dryad.8q0s4 Product Standardized and deduplicated version...

Details

Adverse Event Open Learning through Universal Standardization (AEOLUS)

Overview

AEOLUS (Adverse Event Open Learning through Universal Standardization) is a curated and standardized version of the FDA Adverse Event Reporting System (FAERS) database. FAERS is the FDA’s post-marketing surveillance system that collects reports of adverse events and medication errors involving drugs and therapeutic biologics.

AEOLUS addresses key data quality challenges in the raw FAERS data by removing duplicates, standardizing drug and outcome terminologies, and providing pre-computed statistical summaries, making adverse event data more accessible and usable for research and drug safety applications.

Key Features

Data Standardization

  • Duplicate Removal: Eliminates duplicate case records to prevent biased signal detection
  • RxNorm Mapping: Drug names standardized to RxNorm concepts for consistent drug identification
  • SNOMED-CT Mapping: Adverse event outcomes mapped to SNOMED-CT concepts for standardized clinical terminology
  • Vocabulary Harmonization: Unified terminology system enabling cross-database integration

Pre-computed Statistics

  • Drug-Outcome Relationships: Summary statistics quantifying associations between drugs and adverse events
  • Signal Detection Metrics: Pre-calculated measures supporting pharmacovigilance analyses
  • Ready-to-Use Format: Processed data optimized for computational analysis and consumption

Applications

Pharmacovigilance

  • Post-market drug safety surveillance
  • Adverse event signal detection
  • Drug safety profile characterization
  • Comparative safety assessments

Research Applications

  • Drug repurposing through adverse event analysis
  • Understanding drug mechanism of action via side effect patterns
  • Identifying drug-drug interaction risks
  • Polypharmacy safety studies

Clinical Decision Support

  • Informing prescribing decisions
  • Patient-specific risk assessment
  • Drug selection in special populations
  • Safety monitoring in clinical practice

Data Sources

Primary Source: FDA Adverse Event Reporting System (FAERS)

Terminology Standards:

  • RxNorm (drug names)
  • SNOMED-CT (clinical outcomes/adverse events)

Integration

AEOLUS is registered as an information resource (infores:aeolus) in the NCATS Biomedical Data Translator ecosystem, enabling its use in integrated biomedical knowledge queries and reasoning systems.

Advantages

  • Improved Data Quality: Deduplication and standardization enhance reliability
  • Interoperability: Standard terminologies enable integration with other biomedical resources
  • Computational Ready: Pre-computed statistics facilitate large-scale analyses
  • Research Accessibility: Processed format lowers barriers to FAERS data utilization

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Created: October 30, 2025 | Last modified: November 22, 2025