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Data · dataset · 2026

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

Listed in National Center for Atmospheric Research

Modern science's ability to produce, store, and analyze big datasets is changing the way that scientific research is practiced.

Description

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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Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research455c4708-4db5-454b-9213-3a48d33eae5a11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0