Metis / Enterprise data

Preparing a first data sample

Provide a small existing extract together with a wider inventory. The purpose is to discover what a future authorised transfer could contain, how records connect and what remains uncertain.

Use an existing extract

Choose a manageable export from a system you already use. Explain why it was selected: for example a recent period, an existing project or a representative workflow. State whether it is typical, unusually complete or selected because export was easy. There is no required fixed count of curated sequences.

Keep available linked records together and include a simple explanation of identifiers, timestamps and relationships. Do not reconstruct missing histories or create ideal examples that overstate the source. If a field, attachment or outcome is absent, describe the gap.

Describe the broader inventory

List source systems and record categories beyond the extract. For each, describe the date range, approximate record count or storage volume, available formats and the relationships to other records. Distinguish an estimate from a measured count and explain what the count represents.

Describe how quickly new material appears and how often an export could reasonably be supplied. A sample alone cannot establish the volume eligible for a larger transfer. Make restrictions, export limitations and operational effort visible alongside the headline scale.

Identify permission and handling questions

Say who controls the source and which permissions have been checked. List known exclusions and unresolved questions about personal information, third-party rights, confidentiality and intended downstream use. Unknown rights should remain unknown until reviewed.

Agree access, a transfer method and the assessment purpose before the extract moves. An initial public enquiry should contain a description, not sensitive records. A useful follow-up is a short inventory plus the small agreed extract, followed by a decision on the full-transfer scope.

A practical checklist

Include: source and selection method; files and formats; identifiers and relationships; available history and outcomes; wider eligible volume; new-data cadence; known gaps; rights and handling questions. The checklist helps a reviewer judge the material you can actually share, without demanding a new curated dataset.

Discuss your records

Start with a general description before sharing data. Email hello@metis.inc.