title: Ontology mapping and data discovery for the translational investigator.
abstract: An integrated data repository (IDR) containing aggregations of clinical, biomedical, economic, administrative, and public health data is a key component of an overall translational research infrastructure. But most available data repositories are designed using standard data warehouse architecture that employs arbitrary data encoding standards, making queries across disparate repositories difficult. In response to these shortcomings we have designed a Health Ontology Mapper (HOM) that translates terminologies into formal data encoding standards without altering the underlying source data. We believe the HOM system promotes inter-institutional data sharing and research collaboration, and will ultimately lower the barrier to developing and using an IDR.
authors.affiliation: University of California, San Francisco, CA;
authors.forename: Rob
authors.initials: R
authors.lastname: Wynden
authors.forename: Mark G
authors.initials: MG
authors.lastname: Weiner
authors.forename: Ida
authors.initials: I
authors.lastname: Sim
authors.forename: Davera
authors.initials: D
authors.lastname: Gabriel
authors.forename: Marco
authors.initials: M
authors.lastname: Casale
authors.forename: Simona
authors.initials: S
authors.lastname: Carini
authors.forename: Shannon
authors.initials: S
authors.lastname: Hastings
authors.forename: David
authors.initials: D
authors.lastname: Ervin
authors.forename: Samson
authors.initials: S
authors.lastname: Tu
authors.forename: John H
authors.initials: JH
authors.lastname: Gennari
authors.forename: Nick
authors.initials: N
authors.lastname: Anderson
authors.forename: Ketty
authors.initials: K
authors.lastname: Mobed
authors.forename: Prakash
authors.initials: P
authors.lastname: Lakshminarayanan
authors.forename: Maggie
authors.initials: M
authors.lastname: Massary
authors.forename: Russ J
authors.initials: RJ
authors.lastname: Cucina