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What Is Citizen Science? – A Scientometric Meta-Analysis

Author

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  • Christopher Kullenberg
  • Dick Kasperowski

Abstract

Context: The concept of citizen science (CS) is currently referred to by many actors inside and outside science and research. Several descriptions of this purportedly new approach of science are often heard in connection with large datasets and the possibilities of mobilizing crowds outside science to assists with observations and classifications. However, other accounts refer to CS as a way of democratizing science, aiding concerned communities in creating data to influence policy and as a way of promoting political decision processes involving environment and health. Objective: In this study we analyse two datasets (N = 1935, N = 633) retrieved from the Web of Science (WoS) with the aim of giving a scientometric description of what the concept of CS entails. We account for its development over time, and what strands of research that has adopted CS and give an assessment of what scientific output has been achieved in CS-related projects. To attain this, scientometric methods have been combined with qualitative approaches to render more precise search terms. Results: Results indicate that there are three main focal points of CS. The largest is composed of research on biology, conservation and ecology, and utilizes CS mainly as a methodology of collecting and classifying data. A second strand of research has emerged through geographic information research, where citizens participate in the collection of geographic data. Thirdly, there is a line of research relating to the social sciences and epidemiology, which studies and facilitates public participation in relation to environmental issues and health. In terms of scientific output, the largest body of articles are to be found in biology and conservation research. In absolute numbers, the amount of publications generated by CS is low (N = 1935), but over the past decade a new and very productive line of CS based on digital platforms has emerged for the collection and classification of data.

Suggested Citation

  • Christopher Kullenberg & Dick Kasperowski, 2016. "What Is Citizen Science? – A Scientometric Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-16, January.
  • Handle: RePEc:plo:pone00:0147152
    DOI: 10.1371/journal.pone.0147152
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    References listed on IDEAS

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    1. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    2. Dara O'Rourke & Gregg P. Macey, 2003. "Community environmental policing: Assessing new strategies of public participation in environmental regulation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(3), pages 383-414.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Franzoni, Chiara & Sauermann, Henry, 2014. "Crowd science: The organization of scientific research in open collaborative projects," Research Policy, Elsevier, vol. 43(1), pages 1-20.
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    Cited by:

    1. Lisa Pettibone & Katrin Vohland & David Ziegler, 2017. "Understanding the (inter)disciplinary and institutional diversity of citizen science: A survey of current practice in Germany and Austria," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-16, June.

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