Information quality is critical to successful asset management decision-making. Substandard quality information will likely cause significant negative short- and long-term consequences. The ongoing digital transformation in the Architecture, Engineering, and Construction (AEC) industry has influenced ways to manage physical assets. Yet many asset owners lack a clear understanding of identifying indispensable quality dimensions that satisfy the business, system, and technical requirements. This paper aims to comprehensively analyse asset information quality management with a systematic literature review. The study reveals that the quality dimension of ‘accuracy’ alone cannot support various asset management functions. Additionally, quality deficiencies remain in Building Information Modelling (BIM)-based project delivery handover documents, establishing insufficient asset baselines for future planning. Moreover, the limited knowledge on the quality complications of information generated through technical solutions suggests additional work is required to gain insights into vital quality dimensions. The findings of this study underpin the basis for classifying quality dimensions to support essential asset management processes while pointing to future study areas.