Data Review Document
What the Data Review Document Is and When It’s Used
Why a Standard Data Review Document Matters
A consistent Data Review Document improves traceability, reduces rework, and creates an auditable record that supports regulatory compliance and internal governance.
Who Typically Completes and Signs a Data Review Document
Multiple signers (reviewer, approver, QA) are common; include role, name, title, and date for each signature entry to avoid ambiguity.
- Data stewards and data governance teams who validate data accuracy and lineage.
- Compliance officers and auditors who verify controls and document remediation.
- Project leads or product owners who approve dataset readiness for release.
Step-by-Step: Completing a Data Review Document
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01Prepare the draft: Gather data extracts, metadata, and prior review notes before starting.
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02Run validation checks: Execute quality rules, reconciliation, and sample checks; attach results.
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03Document findings: Summarize discrepancies, severity, and recommended fixes with references.
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04Obtain approvals: Route to designated approvers and capture signatures with timestamps.
How to Configure an Online Review Workflow
| Template | Create a reusable template with standard fields and versioning |
|---|---|
| Field detection | Enable automatic field recognition to reduce manual placement |
| Conditional fields | Use conditional visibility to show remediation fields only when needed |
| Authentication | Set signer verification (email, SMS code, or stronger) per workflow |
| Routing order | Define sequential or parallel routing for reviewers and approvers |
Where to File, Send, or Submit the Completed Document
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Internal Records: Store signed copy in the project repository or document management system.
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Compliance Archive: Copy to compliance or legal archive with restricted access controls.
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External Submission: Submit to regulators or auditors only when required and with redactions as needed.
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Cloud Backup: Preserve a tamper-evident PDF in long-term cloud storage.
Technical Considerations for Digital Signing and eSubmission
Confirm the chosen system captures an immutable audit trail and supports export of signed documents and certificates of completion for retention and audit needs.
- File formats: PDF, DOCX accepted; ensure PDF/A for archival
- Integrations: Supports Salesforce, NetSuite, Google Workspace integrations
- Authentication: Offer email, SMS code, or stronger multi-factor options
Common Timelines and Deadlines to Track
Provide W-9 on request:
Supply a completed W-9 when requested by a payer
Employee wage forms:
W-2 to employees by Jan 31 each year
Information returns:
1099-NEC to recipients and IRS by Jan 31
Individual tax return:
Form 1040 due April 15 (Oct 15 extension available)
Foreign account report:
FBAR due April 15 with automatic extension to Oct 15
Key Processing Milestones for a Data Review
Intake and scoping
Collect datasets, metadata, and acceptance criteria for review
Validation testing
Run automated and manual checks against acceptance criteria
Remediation actions
Log fixes, responsible owners, and target completion dates
Final approval
Approver signs off and the document is archived
Common Preparation Errors to Avoid
- Omitting data source details which prevents reproducibility during audits and slows remediation.
- Using free-text descriptions without references to sample IDs or query output, making issues hard to verify.
- Failing to capture reviewer roles and dates, which creates ambiguity about authorization and responsibility.
- Saving only editable formats without a signed PDF, increasing risk of undetected post-signature changes.
Potential Consequences of Incorrect or Missing Data Review Records
Illustrative eSignature Pricing and Feature Comparison
| 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 free trial | Varies | Varies | Varies | Varies |
| Bulk Send | Yes (Business Premium) | Yes | Yes | Yes | No |
| Audit Trail | Yes | Yes | Yes | Yes | Yes |
| HIPAA Compliant | Yes | Yes | Yes | No | No |
Real-World Examples of Data Review Documents in Practice
Tim Martin — Martin Properties
In a property data migration review we validated tenant ledgers and lease terms against source files
- used automated reconciliation for 85% of rows
- the signed review provided the audit trail needed for closing and to support downstream accounting adjustments.
John Butler — Fertility Centers of Illinois
Clinical data review required cross-referencing patient consent and lab results
- team identified data mapping errors that impacted reporting
- the finalized, signed document served as the compliance record for an internal audit and corrective action plan.
FAQs and Troubleshooting for the Data Review Document
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Who should sign the document?
The document should be signed by the individual who completed the review, a verifying reviewer, and an authorized approver. Include printed names, roles, and dates to make responsibilities clear and support auditability.
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Is an electronic signature valid?
Yes. Electronic signatures are enforceable under the ESIGN Act (15 U.S.C. ch. 96) and UETA where adopted; ensure intent, consent, attribution, and retention requirements are met for legal validity.
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Do I need notarization or witnesses?
Not typically for internal data reviews. If the record supports a filing or legal affidavit, check state-specific notary or witness rules and employ remote online notarization where permitted.
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How long must the document be retained?
Retention depends on use: tax-related reviews follow IRC §6501(a) (3 years), healthcare records follow 45 CFR §164.530(j) (6 years). Keep records until all applicable retention periods and potential legal holds expire.
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What if data sources change after signing?
Document any post-signature changes in an addendum and have the appropriate parties review and sign the addendum to maintain an accurate audit trail and provenance record.
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Which authentication level is sufficient?
Use email or SMS code for low-risk approvals. For regulated contexts or high-risk data, require multi-factor authentication or stronger signer verification to meet legal and compliance expectations.