O preprint foi publicado em outro meio.
DOI do preprint publicado https://doi.org/10.1162/qss.a.17
Preprint / Versão 1

A caminho da indexação universal: OpenAlex e Open Journal Systems

article.authors6a2cc9258ed47

DOI:

https://doi.org/10.1590/SciELOPreprints.11205

Palavras-chave:

OpenAlex, OJS, Scholarly Indexing, DOIs, Global Scholarly Visibility, Equitable Knowledge Representation

Resumo

This study examines OpenAlex’s indexing of journals using Open Journal Systems (JUOJS), reflecting two open source software initiatives supporting inclusive scholarly participation. By analyzing a dataset of 47,625 active JUOJS, we reveal that 71% of these journals have at least one article indexed in OpenAlex. Our findings underscore the central role of Crossref DOIs in achieving indexing, with 97% of the journals using Crossref DOIs included in OpenAlex. However, this technical dependency reflects broader structural inequities, as resource-limited journals, particularly those from low-income countries (47% of JUOJS) and non-English language journals (55%-64% of JUOJS), remain underrepresented. Our work highlights the theoretical implications of scholarly infrastructure dependencies and their role in perpetuating systemic disparities in global knowledge visibility. We argue that even inclusive bibliographic databases like OpenAlex must actively address financial, infrastructural, and linguistic barriers to foster equitable indexing on a global scale. By conceptualizing the relationship between indexing mechanisms, persistent identifiers, and structural inequities, this study provides a critical lens for rethinking the dynamics of universal indexing and its realization in a global, multilingual scholarly ecosystem.

Downloads

Os dados de download ainda não estão disponíveis.

Postado

04/02/2025

Como Citar

A caminho da indexação universal: OpenAlex e Open Journal Systems. (2025). Em SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.11205

Série

Ciências Sociais Aplicadas

Dados de financiamento

Plaudit

Declaração de dados