Datasphere

Fellowship Program

Fellow

Kassy Raymond

Information about data, the data itself, the interpretations and categorisations of the data by the people who use and create the data and the connections that tie the data together comprise the Datasphere.

Information about data, the data itself, the interpretations and categorisations of the data by the people who use and create the data and the connections that tie the data together comprise the Datasphere.

Kassy Raymond is a doctoral student in Computational Sciences with a Collaborative Specialization in One Health in the School of Computer Science at the University of Guelph. Kassy is studying under the supervision of Dr. Deborah Stacey (School of Computer Science) and Dr. Theresa Bernardo (Population Medicine). She is also the Technical Manager for the Global Burden of Animal Diseases (GBADs) Informatics theme. 

Kassy’s research explores the operationalization of data governance principles to improve the quality, discoverability and reusability of animal health and production data in the GBADs knowledge engine. She is interested in exploring data infrastructure to improve and understand data quality and interoperability, specifically using graph databases to map between Open Data sources and identifying the insights that can be drawn using this tool.

Her research is complimented by her interdisciplinary background developed through academic and professional work in biology, bioinformatics, machine learning, data science, and data governance. 

Kassy’s research is supported by the Ontario Graduate Scholarship and through the support of GBADs through funding from the Bill and Melinda Gates Foundation.

She holds a Master of Science in Bioinformatics and a Bachelor of Science in Biological Sciences from the University of Guelph. 

As an outcome of her Fellowship at the Datasphere Initiative 2021-22, Kassy Raymond released the paper “Interoperability by Design for a Collectively Governed Datasphere“.

It presents a database framework using livestock population data from four data sources as a case study.

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Miriam Wimmer

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Benjamin Akintunde Akinmoyeje

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Tim Davies

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Magdalena Ewa Jozwiak

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Nashilongo Gervasius

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Asaf Lubin

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Christian Perrone

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Kassy Raymond

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Francesco Vogelezang

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