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In this paper, the impact of product data quality in the implementation of collaborative engineering in an extended enterprise framework is analyzed. Previously, some definitions about collaborative and concurrent engineering and present concepts like extended and/or virtual enterprise, digital mock-up, virtual prototype and virtual factory are reviewed.The product data model as a key element for the product development process is analyzed. The different views of this model are placed according to the fields where they apply. The importance of product model quality in the current status of data exchange standards is highlighted, with particular attention to ISO 10303 (STEP) new developments. Current state-of-art on data quality models, and product data quality recommendations such as VDA 4955/2 and SASIG PDQ, are also revised. Finally, our own product data quality model is presented. This comprises three points of view or levels: morphological, syntactic and semantic. Hence, it provides a tool for a better understanding of product data quality that helps find solutions that avoid the interoperability problem. Throughout the paper, references to the automotive industry will be used to illustrate concepts. Front-page photo:The left image represents an automotive radiator model simplified for FEM analysis. The central image shows the mesh model, and the right image represents modal analysis results

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