OPTIMIZING LIBRARY MANAGEMENT AND INFORMATICS IN SPORTS RESEARCH INSTITUTIONS: LEVERAGING BIG DATA FOR ENHANCED ATHLETIC KNOWLEDGE DISCOVERY

Abstract

The integration of big data analytics into sports library management has transformed traditional practices, introducing dynamic, athlete-centered services tailored to the needs of sports research institutions. This paper explores the integration, applications, and impacts of big data within sports library services, emphasizing enhanced knowledge discovery in athletic research. Big data's role in sports libraries revolutionizes user experiences and operational efficiencies, with practical implementations showcased through global case studies. Our comprehensive review identifies emerging trends and innovative applications, focusing on the specific needs of sports researchers and practitioners. We discuss the challenges, such as data privacy and the need for specialized staff training, alongside the opportunities that big data presents for personalizing athlete support and optimizing sports research collections. The paper outlines successful big data strategies that contribute to informed decision-making in resource management and improved engagement with athletic communities. By analyzing failures and successes, we recommend strategic initiatives including robust data policies, technological investments, and ongoing professional development in big data skills. Our findings advocate for big data as a strategic resource in sports libraries, crucial for advancing athletic knowledge and maintaining the relevance of library services in a data-intensive sports environment.