Key research themes
1. How do academic libraries develop, evaluate, and manage their collections to meet user needs amid technological and resource constraints?
This research theme focuses on the systematic practices and policies academic libraries employ for collection development and management. It considers how libraries formulate collection development policies, perform collection analysis and evaluation, and address challenges such as funding limitations, shifting user preferences, and balancing print and digital resources. Understanding these practices is critical for academic libraries to build relevant, balanced, and sustainable collections that support institutional missions and user demands in rapidly evolving information landscapes.
2. What is the evolving role of librarians in managing institutional repositories and knowledge assets within academic libraries?
This theme explores the transformative responsibilities of academic librarians in the digital age, particularly regarding institutional repository (IR) management and knowledge management. It investigates how librarians acquire new competencies in IR software, metadata standards, quality control, and author guidance. The thematic focus also includes strategies for leveraging technology for knowledge sharing, maintaining digital collections, and positioning librarians as active knowledge managers who influence collection development and the dissemination of academic outputs.
3. How can academic libraries apply advanced technological frameworks and collaboration models to manage digital collections and protect sensitive information?
This area investigates the deployment of sophisticated technological infrastructures, cooperative governance models, and cybersecurity frameworks within academic libraries for effective digital collection management and data protection. It covers how integration across organizational units, along with adoption of standards like NIST or ISO/IEC, supports secure, scalable, and sustainable digital repositories. Cybersecurity innovations including AI-driven threat detection and blockchain are evaluated for safeguarding sensitive academic data.