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Empowering open science with reflexive and spatialised indicators

Author

Listed:
  • Juste Raimbault

    (UPS CNRS 3611 ISC-PIF, France; CASA, UCL, United Kingdom; UMR CNRS 8504 Géographie-cités, France)

  • Pierre-Olivier Chasset

    (UMR CNRS 8504 Géographie-cités, France; LISER, Luxembourg)

  • Clémentine Cottineau

    (UMR CNRS 8504 Géographie-cités, France; UMR CNRS 8097 Centre Maurice Halbwachs, France)

  • Hadrien Commenges
  • Denise Pumain
  • Christine Kosmopoulos

    (UMR CNRS 8504 Géographie-cités, France)

  • Arnaud Banos

Abstract

Bibliometrics have become commonplace and widely used by authors and journals to monitor, to evaluate and to identify their readership in an ever-increasingly publishing scientific world. This contribution introduces a multi-method corpus analysis tool, specifically conceived for scientific corpuses with spatialised content. We propose a dedicated interactive application that integrates three strategies for building semantic networks, using keywords (self-declared themes), citations (areas of research using the papers) and full-texts (themes derived from the words used in writing). The networks can be studied with respect to their temporal evolution as well as to their spatial expressions, by considering the countries studied in the papers under inquiry. The tool is applied as a proof-of-concept on the papers published in the online open access geography journal Cybergeo since its creation in 1996. Finally, we compare the three methods and conclude that their complementarity can help go beyond simple statistics to better understand the epistemological evolution of a scientific community and the readership target of the journal. Our tool can be applied by any journal on its own corpus, fostering thus open science and reflexivity.

Suggested Citation

  • Juste Raimbault & Pierre-Olivier Chasset & Clémentine Cottineau & Hadrien Commenges & Denise Pumain & Christine Kosmopoulos & Arnaud Banos, 2021. "Empowering open science with reflexive and spatialised indicators," Environment and Planning B, , vol. 48(2), pages 298-313, February.
    • Handle: RePEc:sae:envirb:v:48:y:2021:i:2:p:298-313
    DOI: 10.1177/2399808319870816
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    References listed on IDEAS

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    1. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    2. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    3. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    4. Citron, Daniel T. & Way, Samuel F., 2018. "Network assembly of scientific communities of varying size and specificity," Journal of Informetrics, Elsevier, vol. 12(1), pages 181-190.
    5. Omodei, Elisa & De Domenico, Manlio & Arenas, Alex, 2017. "Evaluating the impact of interdisciplinary research: A multilayer network approach," Network Science, Cambridge University Press, vol. 5(2), pages 235-246, June.
    6. Bei Wen & Edwin Horlings & Mariëlle van der Zouwen & Peter van den Besselaar, 2017. "Mapping science through bibliometric triangulation: An experimental approach applied to water research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 724-738, March.
    7. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Post-Print halshs-02080535, HAL.
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    Cited by:

    1. Antonio Páez, 2021. "Open spatial sciences: an introduction," Journal of Geographical Systems, Springer, vol. 23(4), pages 467-476, October.

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