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Middle-Out FAIR Data Integration with Knowledge Graphs

An extremely powerful and efficient use for Knowledge Graphs is to unite well-understood domains of knowledge alongside novel and specific business/scientific questions. Using small ontologies that embed large reference taxonomies, we are able to go from tactical scientific questions (bottom-up) to common taxonomies and reference datasets (middle-out) approach to model scientific questions, aligning with enterprise master data strategies on the way up. If building blocks follow FAIR (Findable, Accessible, Interoperable, Reusable) data principles, reusing these processes becomes more and more efficient over time as the middle layer grows. Examples in the translational medicine space will be highlighted.
Topic
Life Science
Date
May 7th 2020, 5:40pm
Keywords
bioinformatics, FAIR data
Slides
https://zenodo.org/record/3822219

Tom Plasterer

2

Bioinformatics, AstraZeneca

Tom Plasterer, PhD, Senior Director, Bioinformatics, BioPharmaceutical R&D, AstraZeneca—Dr. Plasterer has pursued interests in bioinformatics, clinical informatics, systems biology and biomarker discovery over the last twenty years in both industry and academia. He co-founded PanGenX (a Personalized Medicine/Pharmacogenetics Knowledge Base start-up), directed the project planning and data interpretation group at BG Medicine, and held an adjunct professor position in the department of Chemistry and Chemical Biology at Northeastern University. He now leads translational science data integration and FAIR data initiatives at AstraZeneca. In these roles at AstraZeneca, Dr. Plasterer has been responsible for establishing and executing the FAIR data strategy which includes knowledge representation, vocabulary & metadata services, semantic visualization, analytics and business case development. This strategy has been deployed to build the competitive intelligence and integrative informatics frameworks for R&D. Tom also serves on the Pistoia Alliance FAIR data advisory board.

Lightening talks from the Main Stage along with speaker Q&A sessions

May 4-7, 2020

Virtual

Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.