Data ReserveAI data licensing research
Section 02 / Do-it-yourself game plans

Stage 2 — Build an inventory without ingesting the whole archive

Data Reserve research deskSection 02Page 3 of 15Last updated 4 November 2026

Suggested internal effort: 3–8 person-days for an initial metadata pass; assumption only. Export available catalogue fields and preserve their original provenance. Use IDs and counts by cohort, not an unexplained total file count.

The Datasheets for Datasets paper motivates transparent documentation of datasets. The owner-specific register below is an original commercial adaptation, not a reproduction of its questionnaire. Gebru et al. — Datasheets for Datasets

Register field Entry expected Why the decision needs it
Cohort ID and item count Source period / contract version / modality Defines what the pilot covers
Coverage and freshness Subjects, geography, dates, update cycle Tests fit to a buyer's task
Components Text, photographs, charts, audio, linked assets Prevents silent inclusion of different rights
Rights evidence location Agreement reference and reviewer Makes the claim traceable
Restrictions and unknowns Use, recipient, term, territory Establishes exclusions and review workload
Technical state Format, parse issues, duplicate estimate Sizes preparation work
Existing monetisation Products and outstanding commitments Identifies conflicts and opportunity cost

Keep “unknown” as a valid value. If an estimate is produced from a sample, record sample method and coverage. Do not convert inferred authorship, publication date or contract mapping into verified facts.

Who to contact: archive managers, acquisitions counsel and publishing operations. Completion condition: the team can identify a candidate cohort and the records needed to review it. The output is a scope map, not a certificate that all rights are clear.

Sources cited on this page

  1. Gebru et al. — Datasheets for Datasets ↗microsoft.com