Explains delivering metadata to its users
Portals and catalogue search, data dictionaries and glossaries, reports, metadata embedded in BI and modelling tools, and APIs and exchange files for other tools and external parties.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 58% | Not shown |
| gemini-3.5-flash-lite | Low cost | 49% | Not shown |
| gpt-6-luna | Low cost | 58% | Not shown |
| claude-haiku-5-5 | Low cost | 58% | Not shown |
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: Portals and catalogue search, data dictionaries and glossaries, reports, metadata embedded in BI and modelling tools, and APIs and exchange files for other tools and external parties.
How it is assessed: Answers a CDMP-style multiple-choice question on the metadata delivery mechanisms
All knobits of Metadata management.
Source: DAMA-DMBOK: Data Management Body of Knowledge, 2nd edition (revised), chapter 12: Metadata Management, element MV-16