The reproducibility issue, even if not a crisis, is still a major problem for science and engineering. Factors not originally considered relevant can be highly relevant. These factors can influence the outputs from a measurement process. In this seminar we investigate the use of Semantic Web technologies as a basis to enhance the capture of provenance meta-data and data curation. These technologies will lead to a better understanding of reproducibility and hence resolution of problems it might be causing. We also explore the role played by logic and UML in this work.
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Speaker: Clifford Brown, National Physical Laboratory
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Short Bio: Clifford Brown originally trained as a physicist has worked in the IT industry and academia for over 30 years. He is currently working in the Data Science group of the National Physical Laboratory in Teddington working on Data Curation and Provenance for Scientific research.
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Refreshments will be available from 5.15pm.
