Academic libraries are being asked to deliver more intuitive, consistent discovery experiences. While users see only the search box, the real work takes place in the systems, workflows and metadata that support it.

Randyn Heisserer Miller, Associate Dean for Collections, Discovery, and Digital Initiatives, San Diego State University stressed, “We look closely at what students are actually doing to get to information, not what we assume they’re doing. Some of those findings don’t always match what librarians intuitively expect, but we have an imperative to make discovery as easy as possible.”

Many libraries still operate across fragmented environments that make it harder to meet these expectations. Disconnected systems, duplicated effort and inconsistent metadata are ongoing operational issues. They also affect how easily students and researchers can find and assess library resources.

A new whitepaper, Better discovery starts behind the scenes, looks at how libraries are addressing these challenges and treating discovery as a strategic priority.

The hidden barriers to discovery

Library users are accustomed to fast, relevant search experiences outside the academic environment. They expect similar ease of use within the library.

Behind the scenes, the picture is often more complex. Siloed systems can require repeated manual work and ongoing reconciliation of metadata across platforms. This not only takes time; it introduces inconsistencies that affect search results and user confidence.

Like Nancy Babb, Discovery Services Librarian, University at Buffalo notes, “Users aren’t really searching anymore in the traditional sense. They’re asking questions, and they expect the system to help them get to an answer, even if they don’t know exactly what they’re looking for yet.”

This gap between user expectations and operational reality shapes many libraries’ priorities.

From fragmented systems to joined-up discovery

The whitepaper describes a shift toward cloud-based platforms that bring together cataloging, acquisitions, discovery and analytics.

Bringing these functions into a single environment reduces duplication and improves data consistency. It gives libraries a more stable foundation for discovery, where information moves more reliably and errors are easier to manage.

These changes extend beyond internal workflows. Integration with institutional systems and teaching platforms allows library services to be present throughout the academic journey rather than limited to a separate entry point.

The role of AI in library discovery services

Artificial intelligence is playing a growing role in managing large and complex collections. From supporting metadata creation to assisting with search, AI can reduce manual effort and improve discoverability at scale.

“One of my talking points is always in favor of metadata, and in favor of excellence in metadata.” Nancy Babb, Discovery Services Librarian, University at Buffalo

The whitepaper also stresses the importance of careful implementation, with librarians maintaining oversight. This approach keeps professional judgment central while allowing technology to assist where it is most useful.

A strategic opportunity

Improving discovery is not just a technical exercise. It influences how libraries are used and how they contribute to teaching and research. More effective discovery can increase the visibility and use of collections and strengthen the library’s role across campus. For many libraries, the focus is on how to modernize systems in a way that supports both operational needs and user expectations.

Download ‘Better discovery starts behind the scenes’ to see how changes behind the scenes can improve how users discover and engage with your library collections.