Yes! Came here to write this too. I've been spending the last few years thinking, inquiring and talking about this, and I think there definitely is a field emerging here. There are already some companies trying to think about this stuff, and classes give it lip service but I don't think we've even seen the tip of the iceberg.
It's interesting to talk to different people about data quality and what they think it means, or how they choose to deal with it, and it's all over the place. Some people just mean open and consistent formats, some people have stylistic preferences for data shape, some people talk about accuracy of values, etc etc.
In some ways it's an extension of the thought that the world is inherently noisy, and we've been thinking about that one already, it's just that it turns out you don't need sensor data a la robotics to get noisy data - it's already in the datasets we know and love, and you accumulate more of it, the more sources you pull into your analysis.