Navigating Data Science and Artificial Intelligence Integration in Library and Information Science: Insights from Four National Libraries

This chapter examines the integration of artificial intelligence (AI) and data
science in library and information science, using insights from four national libraries: the British Library, the National Library of France, the Royal Library of Belgium, and the Royal Danish Library. The integration of these technologies represents a transformative shift, enabling libraries to automate tasks, enhance user experiences, and optimize operations. This study adopts a qualitative approach, drawing on in-depth interviews with key personnel and analyses of strategic documents to explore the challenges and opportunities posed by AI. The findings highlight critical organizational issues such as resistance to change, cross-departmental collaboration, resource allocation, and the need for skill development. The chapter proposes actionable strategies for addressing these challenges, including fostering collaboration, developing flexible funding models,
and investing in targeted training programs. By analyzing the implementation of AI in national libraries, the study offers a comprehensive understanding of how these institutions can navigate the complexities of digital transformation and position themselves as leaders in the evolving landscape of information science.

Keywords: Artificial Intelligence, data science, library innovation, national libraries, digital transformation, organizational change, qualitative research, automation, resource allocation, skill development