Earlier quoted context omitted.
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…
Data governance and master data management spring to mind as existing ideas along these lines.
Aye, but the locked-down nature of data governance actually fights against using it for insights. I've seen a situation where a small two-way frequency table was requested by Team 1, and it took six _months_ because Team 2 had access to data but no access to metadata, Team 3 had metadata and could help design a query but didn't understand the technical details or run the query, Team 4 had to approve the process, and Team 5 had to review Team 3's query before it could run. In the mean time Team 2 was reorged and Team 1, the original requestors, found upstream sources.
Data in a regulatory regime can be excruciatingly difficult, and lend itself to "gut instinct" being used because fear of risk and regulation lock things down too tight to be useful.