Abstract
Big data technologies can play an important role in improving fishery operations. This paper presents an investigation of how smart data-driven services for fisheries can be identified and designed using a model-driven approach with Archimate 3.0 and the big data reference model from BDVA. The combination of top-down and bottom-up modelling was successful in producing a model that can be used for further implementation and analysis. The work was therefore extended to include a total of 26 pilot systems, encompassing almost 450 design diagrams and 5700 modelling elements.