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Scientometrics of big science: a case study of research in the Sloan Digital Sky Survey

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Listed:
  • Jian Zhang

    (Drexel University)

  • Michael S. Vogeley

    (Drexel University)

  • Chaomei Chen

    (Drexel University)

Abstract

Large-scale scientific projects have become a major impetus of scientific advances. But few studies have specifically analyzed how those projects bolster scientific research. We address this question from a scientometrics perspective. By analyzing the bibliographic records of papers relevant to the Sloan Digital Sky Survey (SDSS), we found that the SDSS helped scientists from many countries further develop their own research; investigators initially formed large research groups to tackle key problems, while later papers involved fewer authors; and the number of research topics increased but the diversity of topics remains stable. Furthermore, the entropy analysis method has proven valuable in terms of analyzing patterns of research topics at a macroscopic level.

Suggested Citation

  • Jian Zhang & Michael S. Vogeley & Chaomei Chen, 2011. "Scientometrics of big science: a case study of research in the Sloan Digital Sky Survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 1-14, January.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0318-1
    DOI: 10.1007/s11192-010-0318-1
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    References listed on IDEAS

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    Cited by:

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    4. Xiyi Yang & Xiaoyu Zhou & Cong Cao, 2024. "Beamtimes and knowledge production times: how big-science research infrastructures shape nations’ domestic and international science production," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.

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