Garbage In, Model Out?

There is an often uttered saying going back to the origins of modern computing: "Garbage In, Garbage Out". When it comes to data science, does the saying holds? "Garbage In, Model Out?" approaches the subject of Data Quality in Data Science (and Data Management) in terms of metrics, visualizations and model building and what to do when issues arise.