Explains data domains and term ownership
Domains are drawn around who creates the data; each glossary term belongs to exactly one domain or is DMO reference data.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 95% | Not shown |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Domains are drawn around who creates the data; each glossary term belongs to exactly one domain or is DMO reference data.
How it is assessed: Answers a written question on the data domain and term ownership correctly
Related knobits
Builds on
Needed for
- G-201 Recognises a data domain with no owner
- G-202 Recognises a data domain with two owners
- G-203 Recognises a business term owned by two domains
- G-204 Recognises a business term owned by no domain
- G-516 Recognises a definition dispute citing no terms
All 26 knobits of Design the governance operating model and stewardship.
Source: Practice the stage 2 reference and review checklist rest on