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Persistent URL http://purl.org/net/epubs/work/49795031
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Record Id 49795031
Title Data science for science: how is data science for science different from data science
Abstract The aim of this talk is to look at data science as applied to science, compared to data science as done by everyone else: what are the special challenges facing scientific data science in academia, and how can/do we address them? Are the challenges - and solutions - different for small scale multidisciplinary science projects compared to the largest scientific instruments that have decades of active life? How can we share best practices with each other? This talk aims to cover these questions in the full breadth (time permitting) of the topic but will also look at some topics in detail. The author has worked with data projects from small scale IoT microcontroller-based prototypes to the Large Hadron Collider, so (again time permitting) we will look at these, as well as data security. The talk presumes some knowledge about data science but should be accessible to a general audience.
Keywords data science
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Language English (EN)
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Presentation Presented at DSI lecture series, Imperial College, University of London, 24 Jun 2021. 20210624-datascience.pptx 2021