10.5061/DRYAD.8Q0S4
Banda, Juan M.
Stanford University
Evans, Lee
LTS Computing LLC, West Chester, USA
Vanguri, Rami S.
Columbia University
Tatonetti, Nicholas P.
Columbia University
Ryan, Patrick B.
Janssen Research & Development, LLC, Titusville, USA
Shah, Nigam H.
Stanford University
Data from: A curated and standardized adverse drug event resource to
accelerate drug safety research
Dryad
dataset
2017
Drug safety
Adverse Drug Events
pharmacovigilance
2017-04-08T00:00:00Z
2017-04-08T00:00:00Z
en
https://doi.org/10.1038/sdata.2016.26
1016926412 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Identification of adverse drug reactions (ADRs) during the post-marketing
phase is one of the most important goals of drug safety surveillance.
Spontaneous reporting systems (SRS) data, which are the mainstay of
traditional drug safety surveillance, are used for hypothesis generation
and to validate the newer approaches. The publicly available US Food and
Drug Administration (FDA) Adverse Event Reporting System (FAERS) data
requires substantial curation before they can be used appropriately, and
applying different strategies for data cleaning and normalization can have
material impact on analysis results. We provide a curated and standardized
version of FAERS removing duplicate case records, applying standardized
vocabularies with drug names mapped to RxNorm concepts and outcomes mapped
to SNOMED-CT concepts, and pre-computed summary statistics about
drug-outcome relationships for general consumption. This publicly
available resource, along with the source code, will accelerate drug
safety research by reducing the amount of time spent performing data
management on the source FAERS reports, improving the quality of the
underlying data, and enabling standardized analyses using common
vocabularies.
AEOLUS master fileThis zipped file includes all the files needed to load a
copy of AEOLUS into a RDBMSaeolus_v1.zip
United States