Abstract: |
European Union Member States are working towards an integrated maritime surveillance and deeper information sharing and implementation of Common Information Sharing Environment. Value networks aiming at co-creation, need active facilitation, and relevant platforms for open cooperation. This study analysed scenario analytics, and narrative documents from projects CoopP, CISE, and MARISA by using a Data Extraction Table to classify both objects and phenomenon relevant to European maritime information sharing systems. The object and phenomenon rows are grouped under a European Coast Guard Functions, CGFs framework, to better understand their occurrence and interdependencies. This paper finds that objects and phenomena need to be continuously evaluated against evolving risk and treat scenarios and end-user needs. Shared maritime information systems need to include tools for continuous self-revaluation. Added complexity may greatly reduce the time to value creation and innovation, which in this context is the ability to create greater common knowledge, learning, and value. Thus, faster and more widely shared information on objects and phenomena result in an accurate Recognized Maritime Picture, which supports threat assessment, asset and operations planning, and sharing of resources for added safety and security on the European maritime domain. |