Enhancing Library Resource Discovery with a Seamless, Scalable Digital Solution

The Solution We Presented

To address these challenges, we proposed a cloud-native, multilingual discovery platform tailored to QNL’s strategic vision and user needs. The solution was structured to unify content access, streamline data integration, and deliver a modern, responsive user experience—while ensuring the underlying architecture was scalable, secure, and extensible.

1. Unified Discovery Platform

We outlined a fully integrated platform that would replace fragmented legacy tools with a user-centric, multilingual interface. Built with Angular and designed to meet WCAG standards, the interface supported both Arabic and English and was optimized for performance across desktop and mobile devices. The search experience was enhanced through:

• Metadata-based filtering and faceting
• Advanced sorting algorithms
• Streamlined navigation for diverse content types (books, journals, databases, digital assets)

2. Scalable and Secure Infrastructure

The proposed architecture leveraged modern, cloud-based services:

• Azure Kubernetes Service (AKS) to manage a microservices-based architecture, allowing for modular scaling and independent feature updates
• CosmosDB as the central transactional store for reliable, fast data access
• Azure Key Vault to manage credentials and secure sensitive configurations, ensuring compliance with enterprise-grade security standards

This design was crafted to ensure continuous availability, strong data protections, and the ability to respond flexibly to spikes in user demand.

3. Efficient Data Harvesting and Indexing

To unify QNL’s extensive collection ecosystem, we recommended automated metadata harvesting using industry-standard protocols such as OAI-PMH and Z39.50. Features included:

• Incremental harvesting for up-to-date resource indexing
• Full re-harvesting capabilities to ensure data integrity
• Compatibility with diverse source systems, including catalogues and repository databases

This framework supported consistent and efficient data updates while reducing manual overhead.

4. Seamless Integration with Existing Systems

Recognizing the value of QNL’s existing infrastructure, we proposed seamless integration with key systems including:

• Sierra ILS for catalog management
• LibAnswers for reference services
• StackMap for location-based services

Custom APIs were outlined to facilitate real-time data exchange and system interoperability, ensuring a connected and unified user experience.

5. Advanced User Experience Features

To support engagement and personalization, the proposed platform included:

• Account management functionality (borrowing history, holds, favorites)
• A multilingual content management system (CMS) for flexible website updates
• Enhanced linking and resolution capabilities to access full-text and digital assets

These features were designed to provide users with greater control, visibility, and ease in navigating QNL’s vast resource ecosystem.

Projected Impact & Results

The proposed solution provides a strategic foundation for QNL’s digital transformation, aligning closely with its goals to enhance access, support learning, and advance research. Key projected benefits include:

• Multilingual Accessibility: A bilingual, responsive interface designed to serve a diverse user base
• Scalable, Cloud-Native Infrastructure: Elastic architecture prepared for growth and innovation
• Secure Operations: Enterprise-grade controls to protect user data and institutional assets
• Streamlined Resource Management: Automated harvesting and integration mechanisms that improve operational efficiency
• User Engagement and Insight: Personalized features and analytics tools to support continuous service enhancement

This platform blueprint reflects a forward-looking, purpose-built response to QNL’s unique requirements. It is well-positioned to support the library’s mission while providing a robust framework for future enhancements and evolving digital service delivery.