Big Data is a leading peer-reviewed journal that focuses on the challenges and opportunities of collecting, analyzing, and disseminating large volumes of data. The journal addresses various issues within the rapidly evolving field of data science and aims to foster collaboration among researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, scholars, and policymakers to enhance internal operations, profitability, and communication within their businesses and institutions. The journal covers a wide range of disciplines, emphasizing emerging big data technologies, policies, and innovations, and brings together the community to tackle current challenges while implementing effective strategies for organizing, storing, disseminating, protecting, and manipulating vast amounts of information. Most importantly, it seeks to identify the most effective strategies to ensure that this information benefits society, industry, academia, and government. The scope of Big Data includes industry standards, new technologies specifically developed for big data, data collection, cleaning, distribution, and best practices, data protection, privacy, and policy, commercial interests from research to product, the evolving role of business intelligence, visualization and design principles of big data infrastructure, physical interfaces and robotics, as well as the advantages of social networks like Facebook, Twitter, Amazon, and Google in the realm of big data, and how companies leverage big data to gain a competitive edge.