Data, measurement and empirical methods in the science of science

Lu Liu, Benjamin Jones, Brian Uzzi and Dashun Wang ()
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Lu Liu: Northwestern University
Brian Uzzi: Northwestern University
Dashun Wang: Northwestern University

Nature Human Behaviour, 2023, vol. 7, issue 7, 1046-1058

Abstract: Abstract The advent of large-scale datasets that trace the workings of science has encouraged researchers from many different disciplinary backgrounds to turn scientific methods into science itself, cultivating a rapidly expanding ‘science of science’. This Review considers this growing, multidisciplinary literature through the lens of data, measurement and empirical methods. We discuss the purposes, strengths and limitations of major empirical approaches, seeking to increase understanding of the field’s diverse methodologies and expand researchers’ toolkits. Overall, new empirical developments provide enormous capacity to test traditional beliefs and conceptual frameworks about science, discover factors associated with scientific productivity, predict scientific outcomes and design policies that facilitate scientific progress.

Date: 2023
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DOI: 10.1038/s41562-023-01562-4

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