Mastering Data-Intensive Collaboration and Decision Making: Research and practical applications in t

The Dicode project.- Data intensiveness and cognitive complexity in contemporary collaboration and decision making settings.- Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective.- Making Sense of Linked Data: A Semantic Exploration Approach.- The Dicode Data Mining Services.- The Dicode Collaboration and Decision Making Support Services.- Integrating Dicode Services: The Dicode Workbench.- Clinico-Genomic Research Assimilator: A Dicode Use Case.- Opinion Mining from Unstructured Web 2.0 Data: A Dicode Use Case.- Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project.- Collaboration and Decision Making in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode project.