In this paper we describe D
ISCO: a framework to design and implement deliberative and collaborative Case Based Reasoning (CBR) systems. Using D
ISCO we design and implement distributed CBR systems where each node collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system’s global response. D
ISCO is integrated as a part of j
2  an established framework in the CBR community. We perform a case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL  and a network topology based on a social network.