Royal Plaza Hotel (帝京酒店) - Grand Ballroom III, Level 6 (六樓喜宴堂III)
Mong Kok, Hong Kong SAR
12 March 2026
Why Attend
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Gain a clearer understanding of EBSCO’s future development priorities and how they align with library needs
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Learn how content partnerships and acquisition strategies support long-term collection value
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Explore how platforms, systems, and data work together across library services
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Understand how AI and Linked Data contribute to discovery and future-ready services
Speakers
Chris Chan
University Librarian
Hong Kong Baptist University
Agenda
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Coming Soon!
Key Topics
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This session focuses on EBSCO’s future development priorities for database services, highlighting how long-term investment in content partnerships with publishers and scholarly societies helps libraries build strong, reliable, and sustainable collections.
The discussion will explore how these partnerships enable libraries to provide authoritative, high-quality content through EBSCO databases, streamline access for users, and support teaching, learning, and research needs over time.
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As libraries continue to reassess collection strategies and acquisition models, this session will focus specifically on EBSCO’s e-book services and how they support both electronic and print collections through flexible, sustainable approaches.
Participants will learn about recent developments in e-book acquisition workflows, including how libraries can manage print and electronic books together more effectively, support long-term access, and adapt to changing purchasing models while maintaining collection value.
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This session focuses on how EBSCO’s SaaS services support daily library operations and system interoperability. Topics include integration with existing library management systems such as Alma, identity and access management, and the flow of data across platforms.
The discussion will highlight how well-integrated services can reduce operational complexity, support collaboration across teams, and improve the overall user experience.
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Rather than standalone features, AI and Linked Data are presented as enabling technologies that support discovery, data quality, and connected services. This session explores how structured, linked data underpins more effective information access and provides a foundation for future innovation, while remaining aligned with current library workflows.
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