Establishing secure connection…Loading editor…Preparing document…

Data Validation Statement

This template is fully customizable. Edit the text, fill out the fields, and send it for signature. Give it a try!

DATA VALIDATION STATEMENT

This Data Validation Statement (the Statement) is entered into between the parties identified below for the purpose of describing the validation of data sets, the obligations of the parties, payment for validation services and related terms. Client Name: Validator Name:

WHEREAS

WHEREAS, Client has engaged Validator to perform validation, verification and quality-assurance procedures on the data sets described in this Statement in order to confirm accuracy, completeness and conformity with the acceptance criteria set forth herein; and

WHEREAS, Validator possesses the technical capability and experience necessary to undertake the data validation services and will perform such services under the terms and conditions set forth in this Statement; and

WHEREAS, the parties intend that the results of Validator's work be documented, certified to the extent set forth below, and accepted by Client subject to the tests and remediation procedures described in this Statement.

SCOPE OF WORK

Validator will apply the testing procedures described above to the following data sources and file formats: . Acceptance criteria shall include completeness thresholds, accuracy tolerance levels, and error rates not to exceed: .

PAYMENT TERMS

Invoices issued by Validator shall be payable within days of invoice date. Amounts not paid when due shall accrue interest at the rate of or the maximum permitted by law, whichever is lower. Client shall also reimburse reasonable collection costs and legal fees incurred in connection with overdue payments.

TERM AND TERMINATION

This Statement commences on Start Date: and continues until End Date: unless earlier terminated in accordance with this section.

Either party may terminate this Statement for convenience upon written notice of days to the other party. Either party may terminate immediately for material breach by the other party which remains uncured for a period of days after written notice specifying the breach.

CONFIDENTIALITY

"Confidential Information" means all non-public business, technical and financial information disclosed by one party to the other in connection with this Statement, including any data sets, validation reports, methodologies and results. Each receiving party shall (a) use Confidential Information solely to perform its obligations under this Statement, (b) restrict disclosure to those employees, contractors or agents who have a need to know and who are bound by confidentiality obligations at least as protective as those herein, and (c) exercise at least the same degree of care to protect Confidential Information as it uses to protect its own confidential information, but in no event less than reasonable care.

Confidential Information does not include information that is (i) in the public domain through no breach hereof, (ii) already known to the receiving party at the time of disclosure, (iii) rightfully obtained from a third party without restriction, or (iv) independently developed without use of or reference to the disclosing party's Confidential Information. Disclosure required by law shall be subject to prior notice to the disclosing party and cooperation to seek protective measures where lawful.

GOVERNING LAW

This Statement shall be governed by and construed in accordance with the laws of the State of without regard to conflicts of law principles. The parties consent to the exclusive jurisdiction and venue of the state and federal courts located in such state for resolution of disputes arising under this Statement.

REPRESENTATIONS; CERTIFICATION

Each party represents and warrants that it has full power and authority to enter into this Statement and to perform its obligations hereunder. Validator represents that the validation services will be performed in a professional manner consistent with applicable industry standards.

Client acknowledges that Validator's validation report is based on the data provided by Client and on the agreed scope and acceptance criteria. Validator certifies that, to the best of its knowledge after performing the validation procedures described herein, the validation results and any statement of findings are accurate representations of the work performed at the time of issuance.

ENTIRE AGREEMENT

This Statement 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 written or oral. No amendment or modification shall be effective unless in writing and signed by authorized representatives of both parties.

NOTICES AND CONTACT INFORMATION

ACKNOWLEDGMENTS

The parties acknowledge that execution of this Statement may occur in counterparts, each of which shall be deemed an original and all of which together shall constitute one instrument. Electronic signatures shall be treated as originals for all purposes.

Client Name:

By:

Date:

Validator Name:

By:

Date:

Enter text✕

What a Data Validation Statement Is and Why It Exists

A Data Validation Statement is a short formal record that lists the specific data elements verified for accuracy, the validation methods used, and an attestation by an authorized person that the information was checked. It documents who validated which fields, when checks occurred, and any exceptions or follow-up actions required. Organizations use this statement to create an auditable trail that supports data quality, compliance reviews, dispute resolution, and downstream processing decisions.

Why a Data Validation Statement Matters for Compliance and Control

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.

Why a Data Validation Statement Matters for Compliance and Control

Who Typically Prepares and Reviews This Statement

Several roles are commonly responsible for completing or reviewing a Data Validation Statement depending on context and industry.

  • Data steward or data owner — completes validation steps and documents methods used for each data element, including checks and exceptions.
  • Compliance or privacy officer — reviews attestations when records are subject to HIPAA, FERPA, or financial reporting rules.
  • Operations or intake specialist — signs off after initial collection and any required secondary verification steps are completed.

Assign responsibility clearly in your process map to ensure the statement is prepared consistently and stored with the related record.

Typical Signatories and Their Responsibilities

Data Steward

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.

Authorized Signer

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.

Essential Elements to Include in a Professional Statement

A complete Data Validation Statement should be concise but include the core structural elements below so it is useful for auditors, downstream teams, and legal review.

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.

Scope

Define the dataset, fields, date range, and any record subset that was subject to validation so reviewers know what was and was not included.

Validation Methods

List the checks performed (format checks, cross-reference with authoritative sources, sampling method, automated rules) and any tools used in simple, auditable language.

Results and Exceptions

State whether the data passed validation, list any exceptions discovered, and note corrective actions taken or pending follow-up steps with deadlines.

Attestation

A signed statement by the validating party confirming intent and accuracy of the validation, including the date and role of the signer.

Retention Note

Indicate where the signed statement will be stored and for how long, including references to applicable retention rules and legal bases.

Required Fields and Core Data Elements

Full Legal Name: Name of the validating person or entity
Role or Title: Job title or function
Validated Fields: List of field names or identifiers
Validation Method: Method used (KBA, cross-check, system rule)
Date Verified: MM/DD/YYYY or ISO date
Signature Block: Signer's signature and printed name

Step-by-Step: Completing a Data Validation Statement

Follow these steps in order to complete a standard Data Validation Statement and attach it to the related record or file.

  • 01
    Gather source records: Collect source documents or authoritative systems for cross-checking each field.
  • 02
    Run validation checks: Apply format, range, and cross-reference rules to each data element.
  • 03
    Record exceptions: Note discrepancies, corrective actions, and deadlines for remediation.
  • 04
    Sign and store: Sign the statement and save it with the primary record in the retention location.

How to Configure Online Workflows for This Statement

Use these workflow settings when creating an online template so validation steps and sign-offs are enforced automatically.

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

Where and How to Submit the Completed Statement

A completed statement should be routed to the system of record or the compliance repository following your internal submission rules.

  • Attach to record: Store the statement with the primary dataset or case file
  • Send to compliance: Route a copy to compliance or privacy teams for review
  • Archive: Place final signed copy in long-term archive with metadata
  • Audit access: Grant read-only access to auditors and authorized reviewers

Technical Considerations for Digital Signing and Delivery

Ensure your eSignature and storage platform supports required authentication, audit trails, and secure storage before accepting electronic attestations.

  • Authentication: Email, SMS, KBA
  • Audit Trail: IP and timestamps
  • Integrations: CRM and cloud storage

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.

Typical Timelines and Processing Expectations

Set clear internal deadlines for issuing, validating, and storing the statement so downstream users know when data is authoritative.

Issue on intake:

Create the statement when data is first collected or received

Validation window:

Complete verification within 30 calendar days of receipt

Exception remediation:

Resolve exceptions within 14–45 days depending on severity

Quarterly review:

Re-validate sampled records at least quarterly

Annual attestation:

Perform a full process review and attestation annually

Key Processing Milestones

Track these sequential milestones so each statement moves from collection to archival in a controlled manner.

01

Collection Complete

All source data gathered and indexed for validation

02

Validation Performed

Checks executed and initial pass/fail documented

03

Exception Closure

Corrective actions applied and verified

04

Final Attestation

Authorized signer attests and document stored

Common Mistakes to Avoid

  • Failing to record the exact field identifiers that were validated, making it impossible to correlate the statement with the source data.
  • Using informal or inconsistent titles for signers, which obscures who had actual authority to attest to the validation.
  • Omitting validation methods or using vague descriptions like 'checked manually' without stating the specific checks performed or sampling method.
  • Storing the statement separately from the primary record without cross-reference, which complicates audits and retrieval.

Risks and Potential Consequences of Incorrect Statements

Regulatory fines: Civil penalties and enforcement
Audit findings: Negative audit reports
Contract disputes: Liability for misrepresented data
Operational delays: Blocked processing or draws
Reputational harm: Customer trust erosion
Corrective costs: Remediation and revalidation expenses

Representative eSignature Pricing and Feature Comparison

Comparison of starting prices and common feature availability for major eSignature providers. Place signNow first as the platform option shown; confirm vendor details directly when selecting a plan.

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

Real-World Examples of Data Validation Statements in Use

Practical examples show how organizations document validation steps and support operational needs.

Optica Ventures LLC

Optica used a concise validation statement to tie investor data to original subscriptions, reducing reconciliation time.

  • The approach centralized sign-offs across teams.
  • The result simplified audits and improved cross-team traceability of investor records while preserving an auditable chain of custody for each validated entry.

Fertility Centers of Illinois

The center attached validation statements to patient intake records to document identity verification and consent checks.

  • The statements included method and date.
  • This practice supported regulatory reviews, strengthened privacy posture, and ensured that clinical and billing teams relied on consistent patient identifiers for treatment and insurance claims.

Practical Tips for Accurate, Efficient Statements

Adopt consistent templates, clear signatory rules, and automation to reduce error rates and speed processing.

Use a standardized template
Create a single template with required fields and dropdown options to avoid inconsistent terminology. Templates reduce reviewer time and make audits more efficient by ensuring every statement contains the same critical elements.
Record validation methods
Always state the specific check performed (for example 'compare to DMV record', 'TIN cross-check with payer records'). Detailed methods allow replication and reduce challenges in regulatory reviews or dispute resolution.
Enforce signer authority
Maintain an approval matrix that lists who can attest for different record types. Cross-train alternates and document delegations so attestations remain valid when primary signers are unavailable.
Automate where practical
Use automated format checks, lookups, and conditional fields to capture validation metadata. Automation reduces manual transcription errors and speeds the sign-off process while maintaining an audit trail.

Frequently Asked Questions and Troubleshooting

Answers to common questions about legal validity, e-signatures, and practical concerns when using Data Validation Statements.


Need help? Contact support

be ready to get more
Join over 28 million airSlate SignNow users