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Reflections on and a short review of the science of team science

Author

Listed:
  • Yuxian Liu

    (Tongji University
    Tongji University
    Yunnan University)

  • Yishan Wu

    (Chinese Academy of Science and Technology for Development)

  • Sandra Rousseau

    (KU Leuven)

  • Ronald Rousseau

    (KU Leuven
    University of Antwerp)

Abstract

We provide a short overview of the science of team science (SciTS). Starting from the notion of a scientific team, we move to interdisciplinary studies and finally the Science of Team Science itself. We describe the main areas of research in this field. As co-authorship networks may grow over time, which can lead to a future “global brain”, understanding how teams work and what leads to their failure or success is of the utmost importance. A thorough study of team science in all its aspects needs a collaborative, interdisciplinary and international approach. Such an approach will result in reaching the main objective of SciTS, namely to use science to transform the ways researchers do science and to enhance their effectiveness.

Suggested Citation

  • Yuxian Liu & Yishan Wu & Sandra Rousseau & Ronald Rousseau, 2020. "Reflections on and a short review of the science of team science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 937-950, November.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03513-6
    DOI: 10.1007/s11192-020-03513-6
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    References listed on IDEAS

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    Cited by:

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    2. Ruinan Li & Raf Guns & Tim C. E. Engels & Lin Zhang & Ying Huang, 2023. "Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2447-2469, April.
    3. Dennis Essers & Francesco Grigoli & Evgenia Pugacheva, 2022. "Network effects and research collaborations: evidence from IMF Working Paper co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7169-7192, December.
    4. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    5. Ma, Guoshuai & Yuhua, Qian & Zhang, Yayu & Yan, Hongren & Cheng, Honghong & Hu, Zhiguo, 2022. "The recognition of kernel research team," Journal of Informetrics, Elsevier, vol. 16(4).

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