v1.0.0 to v1.0.0

6 added, 0 removed. Audit A to A.

---

namespace: aiwg

name: dataset-intake

description: Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.

version: 1.0.0

platforms: [all]

aliases: [data onboarding, dataset onboarding, source intake]

triggers: [use this customer export, onboard this dataset, use these files, ingest this corpus, connect this data source]

---

# Dataset Intake

Accept a source path/URI and desired outcome. Default the calling domain to

`project-local`; SDLC, research, knowledge-base, media, marketing, and ops use

the same envelope and may add only namespaced extensions.

Create a `dataset-intake/v1` envelope without opening the source. Record opaque

source locator, outcome, domain, known privacy/locality/network constraints,

authorization references, and independently requested capabilities (`search`,

`traceability`, `provenance`, `graph`, `export`). Do not infer credential

values. Then propose `aiwg dataset preview <source> --json` and hand the intake

reference to `dataset-source-assess`.

+ For a question about existing normalized AI session history, route inspection to

+ `session-explore` before proposing a new dataset. A separately requested export

+ or derived index can enter this intake using its approved source/evidence

+ references, privacy constraints and intended outcome. Do not scan provider homes

+ or treat catalog inspection as approval to copy transcripts into another store.