<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/107064">
      <dc:title>The OpenAlex database in review: Evaluating its applications, capabilities, and limitations</dc:title>
      <dc:creator>Forchino, María Veronica</dc:creator>
      <dc:creator>Torres Salinas, Daniel</dc:creator>
      <dc:subject>OpenAlex</dc:subject>
      <dc:description>Maria Veronica Forchino carried out this research with funding from the 2025 International Postdoctoral Mobility Call, between institutions belonging to the Ibero-American University Association for Postgraduate Studies (AUIP), as part of “Action Line 3: Mobility Grants for Postgraduate Studies” of the AUIP 2024-2026 Action Plan. Junta de Andalucía.</dc:description>
      <dc:description>Abstract: This systematic review examines OpenAlex, focusing on its technical features and its applications within science studies and scientific information sources. The paper offers a critical perspective on OpenAlex’s role in democratizing and promoting equity in access to scientific information. A total of 146 articles published between 2022 and 2025 are analyzed and classified by functionality and application, including AI-based validation processes. Findings reveal the rapid adoption of OpenAlex as an open alternative to commercial databases, particularly across the Global South. However, notable metadata limitations—especially regarding affiliations, languages, and document types—still affect analytical reliability. The study highlights key opportunities and challenges for researchers, libraries, institutions, and the technical community, emphasizing the need for complementary validation and responsible assessment strategies.</dc:description>
      <dc:date>2025-10-15T10:44:59Z</dc:date>
      <dc:date>2025-10-15T10:44:59Z</dc:date>
      <dc:date>2025-10-15</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Forchino, María Veronica and Torres Salinas, Daniel. The OpenAlex database in review: Evaluating its applications, capabilities, and limitations. 2025. doi:10.5281/zenodo.17357948</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/107064</dc:identifier>
      <dc:identifier>10.5281/zenodo.17357948</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
   </ow:Publication>
</rdf:RDF>