In a more conventional frame, data (or observations) is the basis for criticism: hypotheses are criticized (tested) through their predictions.

Here, you’re saying the method of data science is in making testable hypotheses (about data?) and evaluating data with sound, reproducible design.

So this is to say the role of data science is to make sure the data (as input) are appropriate to the hypotheses under study?