Nowadays, big data has become a significant issue across different areas and received considerable attention in both research and practice. Although scholars in library and information science (LIS) discipline have claimed that big data presents a huge opportunity for library research (Gordon-Murnane, 2012), the role of big data in facilitating library management and innovation remains unclear and needs further investigation. As witnessed, big data­driven library innovations provide personalized, remote, real-time, and virtualized services to the library users. In addition, the rapid increase in volume, veracity, velocity, and variety of library data generated by different library tools offers innovative ways of understanding interactions with users in the library environment (Nicholson and Bennett, 2016). This special issue aims to address not only library management and innovation issues exposed by library innovative applications, technology, and services, but also technical and managerial approaches, methodologies, and solutions that would overcome the challenges encountered by the librarians in the era of big data. This special issue makes some significant and original contributions to both library management and LIS community in general. For library practitioners and researchers, this special issue utilizes big data thinking and data analytics approach to address the underlying management problems and promote various innovations in the library. For LIS scholars, this special issue is an early attempt to understand how library data can be acquired, preserved, processed, and applied to generate considerable value and true insights.