March 24, 9AM PDT / 12PM EDT / 4PM GMT
Roche, as a leading biopharmaceutical company and member of the Pistoia Alliance, has a diverse and distributed ecosystem of platforms to manage reference data standards used at different parts of the organization. These diverse reference data standards include ontologies and vocabularies to capture specifics of the research environment and also to describe how clinical trial data are collected, tabulated, analyzed, and finally submitted to regulatory authorities. In the context of the EDIS program, Roche has bridged these parts to improve reverse translation from studies into research and also embraced FAIR to emphasize machine-actionability and data-driven processes.
In this webinar, we will present and provide technical details of Lynx, a FAIR-fuelled system to enable seamless access across that ecosystem. On the one hand, Lynx exploits machine-readable, FAIR Knowledge Graphs to allow for accessing and combining multiple and disparate reference data systems. On the other hand, Lynx bridges the gap for non-experts with an intuitive and user-friendly way of finding and exploring FAIR data.
Speakers
Dr. Javier D. Fernández is a Senior Information Architect at Roche in Basel, Switzerland.
Javier’s work currently focuses on enabling data interoperability and, in general, data FAIRification, facilitating the creation, management, and efficient consumption of Knowledge Graphs in the context of clinical data. Javier holds a joint PhD in Computer Science at the University of Valladolid (Spain) and the University of Chile (Chile) and is the author of more than 40 scientific contributions at international journals and conferences. Before joining Roche, he was a researcher at the Institute of Information Business of Vienna University of Economics and Business (WU Wien), Sapienza Universita di Roma (Italy), and the Ontology Engineering Group (OEG) at Universidad Politécnica de Madrid (Spain).
Dr. Nelia Lasierra is a Principal Information Architect at Roche in Basel, Switzerland.
Nelia’s is passionate about delivering innovative solutions that provide healthcare benefits. In her current job, she is working towards improving meta (data) management activities by driving the implementation of FAIR principles through Knowledge Graphs and Linked Data-based solutions. She has a doctorate from the University of Zaragoza (Spain) in the field of Medical Informatics. Before joining Roche, she was a researcher at the University of Zaragoza (Spain), University of Innsbruck (Austria), and University for Health Sciences, Medical Informatics and Technology (UMIT) (Austria).
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