In statistical applications, a normalization of data means adjusting values measured on different scales to a notionally common scale. In the Timbre context, as related to the prioritization methodology, normalization of data means converting variables that are of different scales into variables of similar scales, respectively into dimensionless indexes of the scale between 0 – 1. In the existing scientific literature, normalization is alternatively called standardization.