ORCID for Wikidata. Data enrichment for scientometric applications

Seidlmayer, Eva; Voß, Jakob; Melnychuk, Tatyana; Galke, Lukas; Tochtermann, Klaus; Schultz, Carsten; Förstner, Konrad U.

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ORCID for Wikidata. Data enrichment for scientometric applications

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Seidlmayer, E., Voß, J., Melnychuk, T., Galke, L., Tochtermann, K., Schultz, C., et al. (2020). ORCID for Wikidata. Data enrichment for scientometric applications. In L.-A. Kaffee, O. Tifrea-Marciuska, E. Simperl, & D. Vrandečić (Eds.), Proceedings of the 1st Wikidata Workshop (Wikidata 2020). Aachen, Germany: CEUR Workshop Proceedings.

Cite as: https://hdl.handle.net/21.11116/0000-0009-FA0E-F

Abstract

Due to its numerous bibliometric entries of scholarly articles and connected information Wikidata can serve as an open and rich
source for deep scientometrical analyses. However, there are currently certain limitations: While 31.5% of all Wikidata entries represent scientiﬁc articles, only 8.9% are entries describing a person and the number
of entries researcher is accordingly even lower. Another issue is the frequent absence of established relations between the scholarly article item and the author item although the author is already listed in Wikidata.
To ﬁll this gap and to improve the content of Wikidata in general, we established a workﬂow for matching authors and scholarly publications by integrating data from the ORCID (Open Researcher and Contributor ID) database. By this approach we were able to extend Wikidata by more than 12k author-publication relations and the method can be
transferred to other enrichments based on ORCID data. This is extension is beneﬁcial for Wikidata users performing bibliometrical analyses or using such metadata for other purposes.