Empowering open science with reflexive and spatialised indicators

Journal article (2019)

Authors

Juste Raimbault CNRS- laboratoire UMR 8504- Gèography Citès, L’Université Sorbonne Paris I, ISC-PIF, University College London
Pierre-Olivier Chasset CNRS- laboratoire UMR 8504- Gèography Citès, L’Université Sorbonne Paris I, Luxembourg Institute of Socio-Economic Research (LISER)
C. Cottineau Centre National de la Recherche Scientifique (CNRS)
Hadrien Commenges CNRS- laboratoire UMR 8504- Gèography Citès, L’Université Sorbonne Paris I
D. Pumain CNRS- laboratoire UMR 8504- Gèography Citès, L’Université Sorbonne Paris I
Christine Kosmopoulos CNRS- laboratoire UMR 8504- Gèography Citès, L’Université Sorbonne Paris I
Arnaud Banos Université Rouen Normandie, Rouen
Affiliation
External organisation
More Info
expand_more

Published Date

2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

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.