Before procuring an enterprise dataset, turn the source's answers into an evidence-request register. For each unresolved question, name the item needed, the person who will review it and the decision it affects. Otherwise a useful discussion can end with many assurances and no clear basis for approving the purchase.

The ten questions below are designed to produce that procurement artifact. They do not replace a sourcing brief, a dataset quality assessment or a provenance checklist. Their purpose is to move a defined proposal through the buyer's actual decision gates without losing unanswered questions between teams.

Which proposal and approval gate does the register cover?

Give the register a proposal identifier and a version. Name the intended decision: permission for a controlled sample, technical acceptance of a delivery, approval of commercial terms or another specified step. Do not use one green status for all of them.

An entry needs five fields: the question, the evidence requested, the responsible respondent, the buyer's reviewer and the effect on the decision. Add a response date and a link to controlled evidence where appropriate. A link is a navigation aid; the reviewer still needs to inspect what it points to.

This is an editorial working method, not a procurement standard. Adapt it to the buyer's process and the consequence of getting the answer wrong.

1. Which exact contribution does this proposal describe?

Request a scope or delivery manifest identifying the proposed version, included populations and period. Assign a buyer reviewer who can compare it with the requirement. The decision impact is whether both parties are discussing the same contribution.

If the answer is still only a sales description, keep the entry open. Do not mark the deliverable defined merely because the source is a credible company. The register should point to the description that the relevant reviewers will actually use.

2. Which acceptance condition answers each requirement?

Request a mapping between the buyer's stated requirements and proposed checks. Identify who can judge each check and what a material exception would mean. This converts a broad request for suitable data into a review plan.

Avoid inventing universal thresholds. A missing field might block one task and be irrelevant to another. The reviewer should explain the consequence for this proposal rather than apply an unexplained quality score.

3. What evidence will resolve the source's important assertions?

For a consequential statement such as retained period or linked outcomes, request the specific description, observation or controlled review that would support it. Name the evidence item instead of asking for more information generally.

Datasheets for Datasets proposes systematic documentation of dataset construction and intended uses. It supports requesting a documented account. It does not determine which assertion is sufficient for your procurement decision.

4. Who can answer each unresolved item?

Ask the source to identify the appropriate respondent for systems, preparation, rights and commercial questions. A commercial contact may coordinate the process without being able to verify every technical detail.

Record the role needed, not unnecessary personal information. If an answer requires another party's decision, identify that dependency. The register should prevent the same unresolved question being passed between teams without an owner.

5. Which permission is needed for the next review step?

Request the scope and authority relevant to the named recipient, material and purpose. Assign the appropriate buyer reviewer. The decision impact is whether the proposed review may proceed, not whether the archive has been commercially accepted.

An NDA or job title is not a complete answer to every access or licensing question. Keep the actual authority review distinct from a source's willingness to supply material. This register records the question and decision; it does not create permission.

6. What handling conditions accompany the evidence?

If a response requires a controlled sample or sensitive document, agree how it will be accessed, reviewed and handled. Record the responsible parties and the limits on use. Do not attach raw records to a broadly circulated question list simply to make it complete.

A high-level answer may be enough for an early decision. Where it is not, the register should identify the authorized next step rather than encourage an informal workaround.

7. Which exceptions could change the decision?

Request an exception list tied to the defined contribution. For each material gap, record whether it changes the scope, requires a correction or prevents the proposed use. A buyer reviewer should state the consequence.

This keeps a known limitation from disappearing inside a long document. It also avoids treating every exception as automatic rejection. The relevant question is what it means for the requirement and decision under review.

8. How will corrections or additions be identified?

Request a version and change process. Ask how the source will describe a corrected delivery, a new period or a changed transformation. Assign a reviewer who can decide which checks need repeating.

The W3C PROV model provides concepts for tracing information and the activities that produced it. That supports preserving a change history. It does not make a corrected contribution automatically acceptable or extend its permissions.

9. What remains contingent in the commercial proposal?

Ask for the conditions relevant to acceptance, delivery and payment to be stated clearly in the proposal. Record which reviewer handles each commercial dependency. Keep proposed terms separate from a technical observation that a sample contains a useful field.

The register does not interpret the agreement or promise payment. It makes sure a material condition has an identified question, answer and decision-maker before the company relies on it.

10. What evidence closes this decision gate?

Define how the buyer records approval, conditional approval, rejection or a request for more work. Identify the version and scope of that decision. A conversational yes should not silently become a broader acceptance than the reviewer intended.

When an item closes, preserve the answer and its basis. When it remains open, state the next action. A complete register can legitimately conclude that the current proposal should not proceed.

How do unresolved questions survive procurement handoffs?

Before moving from sample to delivery or from technical review to commercial approval, examine the open items and their decision impacts. Carry the relevant unresolved questions forward. Do not reset the record because a new team has joined the conversation.

The buyer sourcing brief defines what the buyer is looking for. This procurement register starts once there is a proposal to assess and assigns the evidence needed to decide on it. The provenance guide covers the source and preparation account those reviewers may need.

Avelence can support company sourcing and commercial coordination against an agreed requirement. The buyer and other responsible parties retain their technical, rights, privacy and acceptance decisions. A clear register makes that coordination inspectable without pretending that an introduction is an approved dataset.

Frequently asked questions

Who should own the evidence-request register?

Give coordination to a named buyer-side role, but keep specialist decisions with their responsible reviewers. Procurement may track the register while technical staff assess a linkage claim and legal or privacy staff assess a proposed use. The coordinator should record who can close each item instead of treating receipt of a document as approval.

Must every question close before a controlled sample can be reviewed?

Only the questions necessary for that specific gate must close, but identify and carry forward the others. Permission and handling for the sample may be sufficient for a limited review while final delivery scope or payment terms remain unresolved. Record the limited decision explicitly so it cannot be mistaken for permission to use the full archive.

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Yananai A. Chiwuta

About the author

Yananai A. Chiwuta is the Founder of Avelence. His work covers data-owner relationships, enterprise buyer research, and the commercial decisions behind operational-data licensing.