Cognitive Data Systems for Next-Generation Research Infrastructures

Cognitive data systems manage, analyze, and interpret the data generated across scientific, technological, and interdisciplinary research domains. These systems integrate AI, machine learning, knowledge representation, and advanced analytics to support more efficient data discovery, organization, and decision-making. By enabling automated reasoning, adaptive workflows, and intelligent data integration, cognitive data systems help researchers uncover patterns, generate insights, and accelerate scientific innovation. As research becomes collaborative, these infrastructures enhance data accessibility, interoperability, and scalability across institutions. Intelligent data technologies can create more responsive, efficient, and knowledge-driven research environments, supporting the advancement of science and evidence-based problem-solving. Cognitive Data Systems for Next-Generation Research Infrastructures explores the design, implementation, and evaluation of cognitive data architectures that underpin modern research and innovation ecosystems. It focuses on how advanced data infrastructures, semantic technologies, and intelligent system design principles transform traditional research information systems into adaptive, interoperable, and knowledge-driven ecosystems. This book covers topics such as knowledge management, data science, and cognitive science, and is a useful resource for educators, computer engineers, academicians, researchers, and data scientists.