This study establishes a workflow to optimize the model according to experimental and computational uncertainties. Data from varied sources are often incorporated in MKMs to reduce the number of DFT calculations or experimental values required, but this integration can introduce inaccuracies and inconsistencies. The proposed workflow improves the coherence of data calculated through di↵erent techniques, yielding results that align more closely with experimental observations than simply amalgamating the data without modification.