Pistoia Alliance Webinar: Knowledge Graphs for Pharma: A perspective from the PhUSE Project ‘Clinical Trials Data as RDF’

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Date/Time
Date(s) - 24 Jan 2019
4:00 pm - 5:00 pm

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Date/Time:  January 24th, 2019  11am ET/4pmGMT/5pm CET

The Pistoia Alliance FAIR Community of Interest and the AstraZeneca-founded Linked Data Community of Practice are pleased to announce this next joint webinar, open to all interested parties.

REGISTER HERE for January 24th webinar

Speaker: Tim Williams (UCB and PhUSE)

Abstract

The pharmaceutical industry faces many data-related challenges. Data silos, search, provenance, metadata integration, and standards management are a few of the issues facing an industry in which timelines are tight and patient safety is of paramount importance.

Linked Data Knowledge Graphs as Resource Description Framework (RDF) offer many potential solutions. Linked Data promises end-to-end modeling of the clinical trial process, semantic search, integrated metadata and rules, standards-independent data structures, and a flexible, multi-dimensional schema. The challenge is in implementing this technology in a traditionally conservative, risk-averse culture. This talk presents an overview of the philosophy and ongoing work of the PhUSE project “Clinical Trials Results as Resource Description Framework.” The team is converting data from the CDISC Study Data Tabulation Model (SDTM) to graph data using an ontology-based approach. The wider implications of this work will be discussed, along with deployment strategies within and beyond the industry.

Biography:

Tim Williams is a co-lead of the PhUSE project “Clinical Trials Data as RDF”, an instructor for “Linked Data for Clinical Trials: A Hands-on Workshop”, and a member of the Steering Committee for the PhUSE Computational Science Symposium. Tim has been involved with Linked Data since 2013 and is currently employed by UCB Biosciences as a Principal Statistical Systems Analyst in Raleigh, North Carolina.

Posted in Pistoia Alliance.