Explains the content of a data sharing agreement
Purpose, elements and classification, legal basis, frequency and timeliness, quality, retention and deletion, onward sharing, security, incident notification, termination (DMBOK2 ch. 8).
Can AI do this?
AI does this well Most of the tested AI models master this. 4 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 | 100% | Mastered |
| 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: Purpose, elements and classification, legal basis, frequency and timeliness, quality, retention and deletion, onward sharing, security, incident notification, termination (DMBOK2 ch. 8).
How it is assessed: Answers a written question on the data sharing agreement correctly
Related knobits
Needed for
- N-501 Recognises a sharing purpose missing or wider than the data
- N-503 Recognises an agreement with no quality or timeliness commitment
- N-531 Minimises shared data to the agreement's purpose
- S-403 Recognises data beyond what the purpose requires
- S-404 Recognises retention longer than the purpose
All 14 knobits of Agree data sharing.
Source: Practice the stage 5 reference and review checklist rest on