Varieties of data-centric science: Regional climate modeling and model organism research

Modern science's ability to produce, store, and analyze big datasets is changing the way that scientific research is practiced. Philosophers have only begun to comprehend the changed nature of scientific reasoning in this age of "big data." We analyze data-focused practices in biology and climate modeling, identifying distinct species of data-centric science: phenomena-laden in biology and phenomena-agnostic in climate modeling, each better suited for its own domain of application, though each entail trade-offs. We argue that data-centric practices in science are not monolithic because the opportunities and challenges presented by big data vary across scientific domains.

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Related Dataset #1 : NA-CORDEX Visualization Collection
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Author Lloyd, Elisabeth
Lusk, Greg
Gluck, Stuart
McGinnis, Seth
Publisher UCAR/NCAR - Library
Publication Date 2022-10-10T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:40:35.949909
Metadata Record Identifier edu.ucar.opensky::articles:25874
Metadata Language eng; USA
Suggested Citation Lloyd, Elisabeth, Lusk, Greg, Gluck, Stuart, McGinnis, Seth. (2022). Varieties of data-centric science: Regional climate modeling and model organism research. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7hq43rn. Accessed 25 June 2025.

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