Abstract: We live in a technology driven era where emails, electronic systems and smart assistants are commonplace, and yet despite this there is an abnormally large amount of scientific research that is still recorded on paper. Additionally, even when data and research is captured electronically, it is of limited use unless it is adequately stored, labelled and made available in a machine-readable format. This talk explores some of the challenges and opportunities of digitising scientific research in the 21st century. We will also discuss the affordances of the semantic web, demonstrating where it can be used across the entire scientific research process; noting some lessons learned, and providing some recommendations for going forward in the future.
Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton, and she coordinates the AI 4 Scientific Discovery Network and works on a number of different research projects. Her background is in Computer Science and her PhD focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. 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.
Dr Nicola Knight is an Enterprise Research Fellow at the University of Southampton working on the Physical Sciences Data-Science Service (PSDS). She completed her Masters of Chemistry (MChem) at the University of Southampton before undertaking a PhD in Chemistry under the supervision of Professor Jeremy Frey. Her PhD focused on the interface between Chemistry and Computing with research in chemical modelling, remote experiments and the implementation of IoT technology in scientific research. Nicola?s current research interests are in the use of computing in scientific labs and notetaking with particular interest in IoT technologies and streamlining the research process.
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