Data Integrity & Digital Quality

Data integrity is the ability to reconstruct and trust the regulated decision.

XGene examines the full evidence lifecycle — creation, attribution, review, modification, retention, transfer and use — so remediation addresses the system that creates unreliable records, not just the visible documentation symptom.

When this service is the right fit

• Audit trails, shared access, data review, metadata or record-retention practices create trust gaps.
• OOS/investigation records do not reconcile cleanly with raw data or analytical-system history.
• Laboratory procedures are compliant on paper but system configuration or user behavior undermines ALCOA+ expectations.
• Legacy spreadsheets, interfaces or manual transcriptions create uncontrolled decision points.
• A remediation program is focused on training while technical, procedural and governance causes remain unresolved.
• Digital transformation is introducing new data flows without clear ownership or review controls.

What XGene does

• Map critical data from generation through review, reporting, transfer and retention.
• Assess ALCOA+ controls, access, audit trail, metadata, backup, review and exception handling.
• Connect observed data-integrity issues to the decisions and submissions that depend on those records.
• Evaluate OOS/OOT, deviation and CAPA interfaces with laboratory and manufacturing data.
• Prioritize remediation across procedural, technical, validation, governance and training controls.
• Build verification criteria showing that the corrected system produces trustworthy evidence over time.

What the engagement produces

• Critical-data lifecycle map
• Data-integrity risk and control assessment
• Audit-trail/review governance findings
• OOS/deviation/CAPA interface assessment
• Prioritized remediation plan
• Effectiveness and sustained-control verification framework

Productized starting point — Data Integrity Risk & Governance Assessment

The Data Integrity Risk & Governance Assessment is the recommended first engagement when the organization needs an independent, evidence-based view before committing to a larger remediation, authoring, transformation or execution program. It is designed to identify the decision-critical gaps, clarify scope and produce a prioritized path forward without forcing the client into an oversized engagement at the outset.

How XGene works

1. Define the regulated decisions that depend on the data.

2. Map data provenance and control points.

3. Diagnose technical, procedural and governance failure modes.

4. Build remediation architecture with accountable owners and validation needs.

5. Stress-test the corrected process for reconstructability, completeness and sustained control.

Senior practitioners aligned to this work

• a senior XGene data-integrity and analytical-quality practitioner
• a senior XGene quality-systems and operational-excellence practitioner
• Khaled Aamer, PhD

Experience brought to XGene

The following examples demonstrate relevant practitioner experience. They are not presented as XGene-delivered client outcomes unless explicitly stated otherwise.

• An anonymized consulting data-integrity review of documents supporting 20 ANDA submissions (a senior XGene data-integrity and analytical-quality practitioner).
• Prior-role experience includes electronic laboratory and computer-system validation, quality-system modernization and inspection readiness (a senior XGene quality-systems and operational-excellence practitioner).
• CMC review and remediation experience includes ALCOA+, OOS, CAPA and laboratory-control assessments (Khaled Aamer).

Engagement boundary

Data-integrity remediation cannot be reduced to documentation cleanup or retraining. XGene focuses on the systems, controls and evidence needed to make regulated decisions trustworthy.