This report is the result of the continuation on the work on ‘Objective versus ‘Subjective’ Function Minimization’ and ‘Data fitting: best practices’ and aims at how to obtain a ‘good’ experimental dataset. Data validation and conditioning are very important, though frequently undervalued, activities. The report is divided into two major sections: data treatment to interpretable information and design considerations. In most cases the normalization approach preferred over the one based on measured flow rates, after having verified the mass and element balances over the reactor. The file ‘Data Reconciliation – examples 5-6.xlsx’ is an appendix.