Antimicrobial resistance AR is a serious clinical and public health problem driven largely by inappropriate use of antimicrobials particularly in the setting of empiric therapy of infections. Provision of local AR prevalence data to clinicians in the form of a cumulative antibiogram CABGM can provide decision support for antimicrobial prescribing decreasing inappropriate use improving treatment outcomes and minimizing selection of AR organisms. However CABGMs are produced by widely varying methods from different data sources with different vocabularies resulting in inaccurate data presentations lack of compliance with published standards and inability to compare AR rates between different health care facilities for quality improvement. To address this I describe a data model constraining a CABGM to a published standard using appropriate vocabularies.