title: Drug-drug interaction data source survey and linking.
abstract: As an initial step towards the goal of a common data model for potential drug-drug interactions, we surveyed the data elements provided by the publicly available sources. Our analysis found that there is very little overlap between or across publicly available resources and that the information provided is very heterogeneous.
authors.affiliation: Kent State University, Kent, OH.
authors.forename: Serkan
authors.initials: S
authors.lastname: Ayvaz
authors.affiliation: Mayo Clinic, Rochester, MN.
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhu
authors.affiliation: University of Pittsburgh, Pittsburgh, PA.
authors.forename: Harry
authors.initials: H
authors.lastname: Hochheiser
authors.affiliation: University of Arkansas for Medical Sciences, Little Rock, AK.
authors.forename: Mathias
authors.initials: M
authors.lastname: Brochhausen
authors.affiliation: University of Washington, Seattle, WA.
authors.forename: John
authors.initials: J
authors.lastname: Horn
authors.affiliation: Stanford University, Palo Alto, CA.
authors.forename: Michel
authors.initials: M
authors.lastname: Dumontier
authors.affiliation: Medical University of Vienna, Vienna, Austria.
authors.forename: Matthias
authors.initials: M
authors.lastname: Samwald
authors.affiliation: University of Pittsburgh, Pittsburgh, PA.
authors.forename: Richard D
authors.initials: RD
authors.lastname: Boyce