Every time a scientist runs an experiment, or a social scientist does a survey, or a humanities scholar analyzes a text, they generate data. Science runs on data – without it, we wouldn’t have the James Webb Space Telescope’s stunning images, disease-preventing vaccines or an evolutionary tree that traces the lineages of all life.
This scholarship generates an unimaginable amount of data – so how do researchers keep track of it? And how do they make sure that it’s accessible for use by both humans and machines?
To improve and advance science, scientists need to be able to reproduce others’ data or combine data from multiple sources to learn something new.
Wade Bishop, a professor of information sciences, shares his expertise on research data management and how artificial intelligence can make data more accessible and reusable for scientists. Read the full article at The Conversation.
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Cindi King (865-974-0937, firstname.lastname@example.org)