Thesis Abstract

<p> This study aims to explore the application of big data analytics in library collection development. It will investigate the utilization of big data techniques to inform decision-making processes related to the acquisition, management, and assessment of library collections. The research will employ a mixed-methods approach, integrating data analysis, case studies, and stakeholder interviews to provide comprehensive insights into the impact of big data analytics on library collection development strategies. <br></p>

Thesis Overview

<p> </p><div><div><div><div><div>In an era characterized by the exponential growth of digital information and the increasing complexity of user needs, libraries are turning to big data analytics as a powerful tool for informing collection development strategies. Big data analytics offers the potential to harness vast amounts of data to gain insights into user preferences, resource usage patterns, and emerging trends, thereby shaping more informed and responsive collection development decisions. This study seeks to comprehensively examine the use of big data analytics in library collection development, aiming to understand its impact on acquisition, assessment, and user-centric curation of library collections.</div><div>The introduction of this research provides a contextual background of the study, outlining the significance of leveraging big data analytics to inform library collection development. By defining key terms and establishing the scope and objectives of the study, the introduction aims to provide a clear framework for the subsequent exploration of the influence of big data analytics on library collection development strategies.</div><div>Central to this research is the investigation of the application of big data analytics in libraries, encompassing the conceptual framework of big data analytics, its specific applications in library science, and the challenges and opportunities associated with its implementation. Furthermore, the study aims to delve into the ways in which big data analytics can drive collection development decisions, including its role in acquisition choices, collection assessment through usage analytics, and the potential for personalized, user-centric collection development.</div><div>The research also endeavors to explore the practical aspects of implementing big data analytics in library settings, encompassing data infrastructure and management, ethical considerations, privacy implications, and the training and skill development required for library staff to effectively utilize big data analytics. By examining the impact of big data analytics on library collection development, this study aims to provide insights into the implications for enhancing decision-making processes, leveraging predictive analytics, and anticipating future trends in library collection development.</div><div>Ultimately, this study aspires to contribute to the understanding of the transformative potential of big data analytics in shaping library collection development strategies. By providing a comprehensive evaluation of the use of big data analytics in library collection development, this research aims to inform and guide library professionals in harnessing the power of data-driven insights to optimize the curation, management, and accessibility of library collections in alignment with evolving user needs and preferences.</div></div><div><div><div><div><div></div></div><div><div></div></div></div><div><div><div></div></div><div><div></div></div><div><div></div></div></div></div></div></div></div></div><div><div><br> </div></div><br><p></p>