Lesson 1642 of 2116
AI Data-Management Plan Deposit Checklist: Aligning to NIH 2023 Policy
AI can draft data-management-plan deposit checklists aligned to the NIH 2023 policy, but repository selection still needs PI judgment.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2DMSP
- 3NIH 2023 policy
- 4repository selection
Concept cluster
Terms to connect while reading
Section 1
The premise
AI can format DMSP deposit checklists keyed to the dataset's sensitivity, repository options, and timeline obligations.
What AI does well here
- Generate dataset-by-dataset deposit checklists with metadata schema cues.
- Draft repository-selection rationale aligned to NIH desirable characteristics.
What AI cannot do
- Decide whether dbGaP, FigShare, or a domain repo is the right home.
- Replace data-steward review of de-identification.
Key terms in this lesson
End-of-lesson quiz
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