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The present analysis looks into the issue of mapping information contained in the fadn database aimed at finding a methodology useful as a preliminary analysis to data extraction. To the purpose the concept of data granularity has been introduced. The method has been used to perform a farm-based analysis, revealing a wide heterogeneity of factors and levels that show the existence of specific data ‘patches’. The work proved to be able to increase awareness regarding effective data availability as a preliminary analysis to queries performed on relational data-bases which are not designed from a systems basis, and that can be considered valid for any survey-supplied data.