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

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  • Mark R. Costa

    (Syracuse University)

  • Jian Qin

    (Syracuse University)

  • Sarah Bratt

    (Syracuse University)

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.

Suggested Citation

  • Mark R. Costa & Jian Qin & Sarah Bratt, 2016. "Emergence of collaboration networks around large scale data repositories: a study of the genomics community using GenBank," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 21-40, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1954-x
    DOI: 10.1007/s11192-016-1954-x
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    References listed on IDEAS

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    1. Laura Haak Marcial & Bradley M. Hemminger, 2010. "Scientific data repositories on the Web: An initial survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2029-2048, October.
    2. Laura Haak Marcial & Bradley M. Hemminger, 2010. "Scientific data repositories on the Web: An initial survey," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2029-2048, October.
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    6. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
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    Cited by:

    1. Guillermo Armando Ronda-Pupo, 2017. "The effect of document types and sizes on the scaling relationship between citations and co-authorship patterns in management journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1191-1207, March.
    2. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    3. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.

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