ERRT: Jodi Schneider

The guest speaker at this meeting of the eResearch Roundtable will be Jodi Schneider, who will join the GSLIS faculty in Fall 2016. Currently a postdoctoral fellow at the University of Pittsburgh's Department of Biomedical Informatics, Schneider will lead a session titled, "Acquiring and representing drug-drug interaction knowledge and evidence​." 

Abstract: Limitations in the information available to clinicians are a contributing factor to the many thousands of preventable medication errors that occur each year. Current knowledge sources about potential drug-drug interactions (PDDIs) often fail to provide essential management recommendations and differ significantly in their coverage, accuracy, and agreement. To address this, Schneider and her colleagues seek to more efficiently acquire and represent PDDIs knowledge claims and their supporting evidence in a standard computable format.

In this talk Schneider will present work in progress on both representation (a data model) and acquisition (an evidence curation pipeline). The data model has a reusable generic layer, provided by the Micropublications Ontology, as well as a domain-specific layer represented using the new Drug-drug Interaction and Drug-drug Interaction Evidence Ontology (DIDEO). She will discuss the motivation for this approach and possible implications for representing evidence from other biomedical domains. On the curation side, she will describe how the research team is hand-extracting knowledge claims and evidence from the primary research literature, case reports, and FDA-approved drug labels. This work has implications for ontology development, the design of curation pipelines, and improving medication safety.

Bio: Schneider is a postdoctoral fellow at the University of Pittsburgh's Department of Biomedical Informatics, funded by two NIH institutes: the National Library of Medicine and the National Institute of Dental and Craniofacial Research. Her research areas are in the intersection of knowledge representation, computer supported cooperative work, human-computer interaction, and argumentation. She studies how evidence-based arguments are used in scholarly communication and public discourse. Her long-term goal is to develop systems for synthesizing biomedical knowledge. She regularly contributes to standards development, especially in linked data and ontologies; she coauthored the "W3C Library Linked Data Incubator Group Final Report,” which has been translated into French, Spanish, Japanese, and Chinese. In August she joins GSLIS as an assistant professor.