Emergence of collaboration networks around large scale data repositories: a study of the genomics community using GenBank

Mark R. Costa (), Jian Qin and Sarah Bratt
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Mark R. Costa: Syracuse University
Jian Qin: Syracuse University
Sarah Bratt: Syracuse University

Scientometrics, 2016, vol. 108, issue 1, No 2, 40 pages

Abstract: Abstract The advent of large data repositories and the necessity of distributed skillsets have led to a need to study the scientific collaboration network emerging around cyber-infrastructure-enabled repositories. To explore the impact of scientific collaboration and large-scale repositories in the field of genomics, we analyze coauthorship patterns in NCBIs big data repository GenBank using trace metadata from coauthorship of traditional publications and coauthorship of datasets. We demonstrate that using complex network analysis to explore both networks independently and jointly provides a much richer description of the community, and addresses some of the methodological concerns discussed in previous literature regarding the use of coauthorship data to study scientific collaboration.

Keywords: Team science; Big data repository; Scientific collaboration; Complex network analysis; Cyber-infrastructure enabled science (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-016-1954-x

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