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Data Review Document

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DATA REVIEW DOCUMENT

Parties

This Data Review Document (the Agreement) is entered into as of by and between:

Recitals

WHEREAS, the Client possesses certain datasets and related materials described below that the Client wishes to have reviewed, evaluated, and documented for quality, completeness, and compliance with specified criteria; and

WHEREAS, the Reviewer has the expertise, personnel, and systems necessary to perform a review of the Client's data and to prepare a report of findings and recommended remediation actions; and

WHEREAS, the parties desire to set forth the scope, deliverables, payment terms, confidentiality obligations, and other terms governing the Reviewer’s engagement to perform the data review services described in this Agreement.

Scope of Work

The Reviewer shall perform a systematic review of the Client's data, including but not limited to data profiling, completeness checks, validation against agreed rules, identification of anomalies, and preparation of a written report of findings and recommended remediation actions (the Services). Specific datasets and sources to be reviewed:

Access, Security and Responsibilities

The Client shall provide the Reviewer with the datasets, access credentials, and documentation reasonably necessary to perform the Services. The Reviewer shall use commercially reasonable technical and organizational measures to protect Client Data from unauthorized access, disclosure, alteration or destruction, and shall permit access to Client Data only on a need-to-know basis by personnel bound by confidentiality obligations no less protective than those in this Agreement.

Payment Terms

As consideration for the Services, the Client shall pay the Reviewer the fees and according to the schedule set forth below. All payments are due in United States Dollars unless otherwise agreed in writing.

Unless otherwise agreed, invoices are payable within days of receipt. Disputed amounts must be submitted in writing within ten (10) days of invoice receipt and shall not relieve the Client of its obligation to pay undisputed amounts on time.

Term and Termination

This Agreement commences on the Effective Date and continues until completion of the Services or the End Date set forth below, unless earlier terminated in accordance with this Section.

Start Date:     End Date:

Either party may terminate this Agreement for convenience upon written notice delivered at least days prior to the intended termination date. Either party may terminate for material breach if the breach remains uncured thirty (30) days after written notice specifying the breach. Termination shall not relieve the Client of its obligation to pay for Services performed and expenses incurred through the effective date of termination.

Confidentiality

"Confidential Information" means all non-public information disclosed by one party to the other in connection with this Agreement, including datasets, business information, and technical material. The receiving party shall (a) hold Confidential Information in strict confidence, (b) use Confidential Information solely for the purposes of performing or receiving the Services, and (c) restrict access to Confidential Information to employees and contractors who need such access and who are bound by confidentiality obligations no less protective than those contained herein.

The obligations in this section shall not apply to information that is (i) publicly available through no breach by the receiving party, (ii) already in the receiving party's possession without restriction prior to disclosure, (iii) rightfully received from a third party without restriction, or (iv) independently developed by the receiving party without use of the disclosing party's Confidential Information. Upon termination or expiration of this Agreement, the receiving party shall, at the disclosing party's election, return or securely destroy Confidential Information.

Limitation of Liability

Except for liability arising from gross negligence, willful misconduct, or breach of confidentiality, each party’s aggregate liability to the other under or in connection with this Agreement shall not exceed the total fees paid by the Client to the Reviewer under this Agreement. In no event shall either party be liable for indirect, incidental, special, or consequential damages.

Governing Law

This Agreement shall be governed by and construed in accordance with the laws of the state or jurisdiction specified below, without regard to its conflict of laws principles.

Entire Agreement

This Agreement, including any attachments or statements of work incorporated by reference, constitutes the entire agreement between the parties with respect to the subject matter hereof and supersedes all prior and contemporaneous agreements, proposals, and communications, whether oral or written. Any amendment to this Agreement must be in writing and signed by authorized representatives of both parties.

Acceptance and Acknowledgments

The Client acknowledges that the Reviewer will base its findings on the data and documentation provided by the Client and that the Reviewer does not warrant data completeness or accuracy beyond the scope of the procedures expressly agreed in this Agreement. The Client authorizes the Reviewer to perform the Services described herein and to use necessary subcontractors, provided that the Reviewer remains responsible for their performance and compliance with confidentiality obligations.

Reviewer (Print Name):

By:

Date:

Client (Print Name):

By:

Date:

Enter text✕

What the Data Review Document Is and When It’s Used

A Data Review Document is a structured record used to capture findings, validations, and approvals during a formal review of datasets, data processes, or data-driven deliverables. It summarizes scope, data sources, validation checks, discrepancies found, remedial actions, and final sign-off from authorized reviewers. Organizations use this document to support audit trails, governance decisions, regulatory submissions, and internal control testing. The template is intended for repeatable use across projects and departments to create a consistent, reviewable record that can be retained for compliance and later inspection.

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.

Why a Standard Data Review Document Matters

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

Follow these sequential steps to prepare, validate, and finalize the Data Review Document with clear reviewer responsibilities.

  • 01
    Prepare the draft: Gather data extracts, metadata, and prior review notes before starting.
  • 02
    Run validation checks: Execute quality rules, reconciliation, and sample checks; attach results.
  • 03
    Document findings: Summarize discrepancies, severity, and recommended fixes with references.
  • 04
    Obtain approvals: Route to designated approvers and capture signatures with timestamps.

How to Configure an Online Review Workflow

Configure digital workflow settings to automate routing, field behavior, and authentication for efficient online review and signature capture.

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

After final signatures, send the executed Data Review Document to the correct internal and external locations to satisfy governance and audit requirements.

  • Internal Records: Store signed copy in the project repository or document management system.
  • Compliance Archive: Copy to compliance or legal archive with restricted access controls.
  • External Submission: Submit to regulators or auditors only when required and with redactions as needed.
  • 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

Key deadlines vary by document type and regulatory context; track submission dates, internal SLA targets, and retention start dates to remain compliant.

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

A typical review follows a predictable sequence of milestones from intake to closure; plan resources to meet each stage promptly.

01

Intake and scoping

Collect datasets, metadata, and acceptance criteria for review

02

Validation testing

Run automated and manual checks against acceptance criteria

03

Remediation actions

Log fixes, responsible owners, and target completion dates

04

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

Compliance fines: Regulator penalties or enforcement action
HIPAA exposure: Breach reporting and monetary penalties
Audit findings: Remediation orders and reputational impact
Tax penalties: Late or incorrect filings trigger IRC §6721 fines
Operational delay: Production hold or rollback of datasets
Contract disputes: Disagreements about deliverable acceptance

Required Information and Security Controls to Include

Encryption in transit: TLS 1.2/1.3
Encryption at rest: AES-256
Access controls: Role-based permissions
Audit trail: Timestamped signer actions
Certifications: SOC 2 Type II, ISO 27001
HIPAA support: BAA available where required

Illustrative eSignature Pricing and Feature Comparison

Basic comparison of starting price and common feature flags across several vendors. Confirm current plan details with each provider before purchasing.

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

Two brief examples show how organizations document reviews, capture approvals, and rely on signed records for audits or operations.

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

Answers to common questions about completion, electronic signatures, retention, and signatory authority for the Data Review Document.


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