DivinWD: a Dataset to Explore the Diversity of Scientific Publications in Wikidata

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Authors: Zeno Saletti, Cristian Consonni, Pedro Frau-Amar, Emília Gómez
Cited by: 0

Abstract

Wikidata has emerged as a major open repository of scholarly metadata, yet its characteristics and limitations as a source for diversity analyses are not well documented. We present DivinWD (DIversity IN WikiData), a curated and reproducible dataset and processing pipeline for studying diversity in scientific publications represented in Wikidata. The dataset comprises over 1.2 million scholarly articles published between 2010 and 2024, enriched by integrating Wikidata with 5 external bibliographic sources--Crossref, Dimensions, OpenAlex, Scopus, and Semantic Scholar--and augmenting them using the Genderize API, to enrich metadata on language, field of study, authorship, gender, geographic origin, and institutional affiliation.By releasing the dataset and pipeline, this work provides a transparent foundation for future research on diversity in science and for the development and evaluation of open, reproducible bibliometric indicators.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
EN
Document type
Dataset