Datasetpublic

alexcpn/fda-faers-parquet

FDA FAERS Adverse Event Reports Pre-processed FDA Adverse Event Reporting System (FAERS) data in Parquet format for pharmacovigilance signal detection. Tables Table Description DEMO Demographics and case admin (deduplicated: latest CASEVERSION per CASEID) DRUG Drug/medication info (drugname, prod_ai, role_cod, route, dose) REAC Adverse reactions (MedDRA preferred terms) OUTC Patient outcomes (death, hospitalization, disability, etc.) RPSR Report… See the full description on the dataset page: https://huggingface.co/datasets/alexcpn/fda-faers-parquet.

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Dataset Card

FDA FAERS Adverse Event Reports

Pre-processed FDA Adverse Event Reporting System (FAERS) data in Parquet format for pharmacovigilance signal detection.

Tables

Table	Description
DEMO	Demographics and case admin (deduplicated: latest CASEVERSION per CASEID)
DRUG	Drug/medication info (drugname, prodai, rolecod, route, dose)
REAC	Adverse reactions (MedDRA preferred terms)
OUTC	Patient outcomes (death, hospitalization, disability, etc.)
RPSR	Report sources
THER	Therapy dates
INDI	Indications for use

All tables linked by primaryid. Drug role codes: PS=Primary Suspect, SS=Secondary Suspect, C=Concomitant, I=Interacting.

Current Coverage

—2024 Q4 (410,849 unique cases)

Usage with DuckDB

python

import duckdb
conn = duckdb.connect()
conn.install_extension("httpfs")
conn.load_extension("httpfs")

demo = conn.execute("""
    SELECT COUNT(*) as total_cases
    FROM read_parquet("hf://datasets/alexcpn/fda-faers-parquet/data/DEMO.parquet")
""").fetchdf()

Disclaimer

FAERS is a voluntary reporting system. Report counts do not establish causation. Disproportionality signals (PRR, ROR) indicate statistical associations that require clinical validation. Not intended for direct clinical decision-making.

Source

FDA FAERS Quarterly Data Extract Files