Research Patterns on Information Quality in Library Services: Bibliometric Evidence

This study investigates global research patterns on information quality in library services through a bibliometric analysis of 75 scholarly documents published between 2015 and 2025. Amid increasing digital transformation in libraries, ensuring the quality of information that defined by accuracy, relevance, timeliness, and accessibility has become crucial for effective service delivery. Despite rising scholarly interest, the field remains fragmented, with limited visual or data-driven syntheses. This study aims to fill that gap by analyzing publication trends, key contributors, collaborative networks, and thematic structures using Scopus-indexed data and bibliometric tools such as VOSviewer. The results reveal a significant increase in publication activity after 2020, reflecting a post-pandemic digital pivot in library systems. A small number of prolific authors and regionally concentrated co-authorship clusters dominate the research output, while cross-regional collaborations remain limited. Thematic analysis identifies four dominant research strands user satisfaction, technical systems (quality control and machine learning), digital content platforms, and contextual roles of librarians. Temporal visualization suggests an evolution from foundational metadata concerns to algorithmic and AI-driven approaches. This study contributes a structured knowledge map that not only synthesizes fragmented literature but also offers strategic insight into future research and practice in managing information quality in increasingly digital library environments.