Knowledge Infrastructure Data Wizard (KIDW): A Cooperative Approach for Data Management and Knowledge Dissemination

The advent of the digital revolution has witnessed the proliferation of data generation, from the use of machines in computing to their use in storing data and then to their use in the automatic generation of data, as in the case of the IoT (Internet of Things). Consequently, the volume of data has exponentially increased, necessitating enhanced storage capabilities and processing power for knowledge extraction. This paper highlights the significance of extracting information and knowledge from the early stages of data generation. It introduces key concepts and demonstrates their implementation in the “Knowledge Infrastructure Data Wizard” (KIDW) tool, which utilizes a dynamic tree topology. The tool facilitates human-machine interaction through user-friendly interfaces, enabling effective project management by enhancing cooperative data management. The article showcases the practical application of the developed tool within a European Interreg project, where it facilitated data and knowledge sharing, as well as fostering cooperation and participant management.