Even the greatest analytical quality gotten using the most advanced instruments can not replace for poor sample quality. As an outcome, managing and standardizing pre-analytical elements, as well as enhancing analytical performance are the key factors to consider that determine the success of metabolomics projects.In this Technique Talk, Shama Naz will reveal how to enhance experimental design and sample processing to improve the reliability and reproducibility of metabolomics data.Learning ObjectivesIntroduction to metabolomicsPre-analytical aspects to think about for a metabolomics projectChoosing a suitable analytical toolShama Naz, PhDManagerMetabolomics Core FacilityUniversity of Ottawa