WIKIDATA FOR STRUCTURING ACADEMIC INSTITUTIONAL PROFILES: A NEUROMAT SCHOLARLY PUBLICATIONS CASE STUDY

Autor(es)

Suca, Erika Guetti ; Burley, Paul R. ; Alves, Eder Porto Ferreira ; Peschanski, Joao Alexandre

• Tipo de documento: Artigo Científico
• Fonte: ENCONTROS BIBLI-REVISTA ELETRONICA DE BIBLIOTECONOMIA E CIENCIA DA INFORMACAO; v. 30, p. 23-pg., 2025-01-01.

Resumo

Objective: The objective of this work is to identify competencies in the construction and analysis of individual and academic institutional profiles using Wikidata. Methods: We present a case study utilizing structured semantic data related to the scholarly output of researchers at NeuroMat, a research institution in Brazil. The case study illustrates how Wikidata was used to construct and analyze individual and academic institutional profiles. Results: We highlight: (1) enriching bibliographic data related to the published scientific research of members at Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat); (2) harvesting publication and author metadata from external databases into structured, linked data for Wikidata; (3) augmenting, editing, and querying NeuroMat author and publication data in Wikidata; (4) utilizing NeuroMat data in Wikidata to create visualizations for institutional and individual analyses of scholarly production. These visualizations will demonstrate publication impact and connections between authors and institutional activities at NeuroMat. Conclusions: We illustrate that Wikidata, as a free and open linked data platform, allows Global South institutions to decenter themselves from the hegemony of closed, proprietary Global North scholarly publishing and metadata. (AU)

• Processo FAPESP: 13/07699-0 - Centro de Pesquisa, Inovação e Difusão em Neuromatemática - NeuroMat
• Beneficiário: Oswaldo Baffa Filho
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs