Turning Scholia into a platform for living scientometric studies
Scholia (https://scholia.toolforge.org) is a scientometric tool that generates a profile for each bibliographic entity such as publications, awards, scientists, research subjects and institutions based on the related bibliographic data available on Wikidata. Each profile is almost updated in real time since it is based on SPARQL queries from Wikidata and includes statistics evoking the productivity and the scientific impact of the entity and the bibliometric networks putting the various works related to the entity. in their scientific context. Despite this interesting architecture, Scholia lacks support for some informetric information such as statistical distributions and scientometric metrics as well as some bibliographic networks. Scholia also lacks a critical and dynamic analysis of all the data generated, unlike the scientometric studies which give a discussion of the results found. In this presentation, we discuss the possibility of strengthening Scholia profiles to become living Scientometric studies that can make a significant contribution to Scientometrics.
Houcemeddine Turki (University of Sfax, Tunisia) is a research assistant in semantic technologies, medical informatics and Scientometrics in the Data Engineering and Semantics team of the Faculty of Sciences of Sfax in Tunisia. He is also a medical student at the Faculty of Medicine of Sfax, a long-term Wikimedian and an open science advocate. His research interests relate to the development and use of knowledge graphs in medicine as well as the creation and discussion of advanced techniques and approaches in Scientometrics.
- Turki, H., Hadj Taieb, M. A., & Ben Aouicha, M. (2020). Robustifying Scholia, An overview. University of Sfax. https://works.bepress.com/houcemeddine_turki/42/.
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- Rasberry, L., Willighagen, E., Nielsen, F., & Mietchen, D. (2019). Robustifying Scholia: paving the way for knowledge discovery and research assessment through Wikidata. Research Ideas and Outcomes, 5, e35820. doi:10.3897/rio.5.e35820.