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Purpose The purpose of this study is to address problems associated with the accessibility of academic library databases. Design/methodology/approach This study evaluates 32 databases and measures their accessibility to users of adaptive technology. Findings Based on the results of this study, 72 percent of the evaluated databases were rated as marginally accessible or inaccessible, reflecting a low level of compliance to federal web accessibility legislation and international web accessibility standards. To measure database accessibility to adaptive technology users, this study operationalized accessibility into ten component parts as the Tatomir Accessibility Checklist (TAC) and tested each database on each component. Originality/value Findings of this study can be used both by those who purchase and manage databases in libraries to identify the most accessible databases and by designers of the databases to improve specific features.
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Stored only when both papers are in the corpus — 44 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.