Header and Identifier
Document title, unique ID or reference number, and related record identifier so the statement can be reliably linked to the original dataset or form when stored.
A clear Data Validation Statement reduces downstream errors, supports regulatory audits, and provides evidence of due diligence. It helps meet recordkeeping expectations under applicable statutes and verifies that data-driven decisions rely on confirmed inputs rather than raw or unverified entries.
Several roles are commonly responsible for completing or reviewing a Data Validation Statement depending on context and industry.
Assign responsibility clearly in your process map to ensure the statement is prepared consistently and stored with the related record.
A data steward documents the validation methods and outcomes, identifies discrepancies and corrective steps, and attests to the verification process. This person must have operational access to the source systems and authority to mark records verified.
A designated authorized signer (manager, compliance officer, or officer of the organization) confirms that the validation was complete and accurate and accepts accountability for any representations made in the statement.
Document title, unique ID or reference number, and related record identifier so the statement can be reliably linked to the original dataset or form when stored.
Define the dataset, fields, date range, and any record subset that was subject to validation so reviewers know what was and was not included.
List the checks performed (format checks, cross-reference with authoritative sources, sampling method, automated rules) and any tools used in simple, auditable language.
State whether the data passed validation, list any exceptions discovered, and note corrective actions taken or pending follow-up steps with deadlines.
A signed statement by the validating party confirming intent and accuracy of the validation, including the date and role of the signer.
Indicate where the signed statement will be stored and for how long, including references to applicable retention rules and legal bases.
| Field | Configuration |
|---|---|
| Authentication | Email link, SMS code, or stronger KBA as required |
| Conditional Fields | Show exception details only when a mismatch is detected |
| Auto-fill | Pull verified values from authoritative sources |
| Retention Tagging | Apply retention label and storage location |
Ensure your eSignature and storage platform supports required authentication, audit trails, and secure storage before accepting electronic attestations.
Confirm the platform meets any industry-specific rules (for example HIPAA BAA or 21 CFR Part 11) and that retention metadata travels with the signed document.
Create the statement when data is first collected or received
Complete verification within 30 calendar days of receipt
Resolve exceptions within 14–45 days depending on severity
Re-validate sampled records at least quarterly
Perform a full process review and attestation annually
All source data gathered and indexed for validation
Checks executed and initial pass/fail documented
Corrective actions applied and verified
Authorized signer attests and document stored
| signNow | DocuSign | Adobe Sign | PandaDoc | HelloSign | |
|---|---|---|---|---|---|
| Starting Price | $8/user/mo | $15/user/mo | $14/user/mo | $19/user/mo | $15/user/mo |
| Free Trial | 7-day trial | Varies by plan | Varies by plan | Varies by plan | Varies by plan |
| Bulk Send | Yes | Yes | Yes | Yes | No |
| Audit Trail | Yes | Yes | Yes | Yes | Yes |
| HIPAA Compliant | Yes | Yes | Yes | No | No |
Optica used a concise validation statement to tie investor data to original subscriptions, reducing reconciliation time.
The center attached validation statements to patient intake records to document identity verification and consent checks.