Paper Title
The Ethical Challenges and Best Practices for Big Data-Driven Libraries

Abstract
As libraries increasingly leverage big data analytics to enhance their collections, services, and operations, they must grapple with critical issues surrounding patron privacy and data ethics. This research paper examines the key challenges and best practices for addressing these concerns in the context of big data-driven libraries. It discusses the need to balance patron privacy and data-driven insights, develop ethical frameworks for big data, address algorithmic bias and fairness, and uphold patron privacy rights. The paper concludes that by navigating these complex issues, libraries can unlock the benefits of big data while preserving their role as trusted stewards of information and maintaining the trust of their communities. Keywords - Big Data, Data Security, Privacy, Libraries