About
Dr Samantha Pearman-Kanza is a Principal Enterprise Fellow at the University of Southampton. She is the Principal Investigator of the Careers and Skills for Data-driven Research (CaSDaR) and the Pathfinder Lead for Process Recording for the Physical Sciences Data Infrastructure (PSDI) Initative. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.
Research
Research groups
Research interests
- Electronic Lab Notebooks / Process Recording
- Data Stewardship
- Research Data Management / FAIR Data
- Semantic Web / Linked Data / Ontologies
- Artificial Intelligence / Machine Learning
Current research
Samantha's current research focuses on the digitisation of scientific research, and using semantic web technologies to improve research data management within the physical sciences.
Research projects
Active projects
Completed projects
Publications
Pagination
Biography
Dr Samantha Pearman-Kanza is a Principal Enterprise Fellow at the University of Southampton. She is the Principal Investigator of the Careers and Skills for Data-driven Research (CaSDaR) and the Pathfinder Lead for Process Recording for the Physical Sciences Data Infrastructure (PSDI) Initative. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.