DIRA Data Integrity Risk Assessment: how to perform it step by step
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DIRA Data Integrity Risk Assessment: complete operational method
The DIRA – Data Integrity Risk Assessment is a fundamental operational tool for evaluating and mitigating risks to GxP data. Below is a practical, methodical guide based on the best practices described in the ALCOA+ & Data Governance manual.
1. Define the scope
Specify what you are assessing:
- a system (e.g., LIMS, HPLC)
- a process (batch record review, weighing, deviation management)
- a department (QC, Manufacturing)
An effective DIRA requires a clearly defined scope.
2. Build the team
Always include:
- QA (compliance oversight)
- IT/CSV (for computerized systems)
- process experts (analysts, operators)
- Data Owner
- department manager
3. Map the data flow
This is one of the most critical phases.
Map all stages of the data lifecycle:
generation → recording → processing → review → archiving → retrieval → destruction
For each step, identify:
- people involved
- instruments and systems
- media (paper/electronic)
- potential risks
4. Identify the risks
For each point, analyze the 9 ALCOA+ attributes:
- Attributable: shared accounts, missing signatures
- Legible: illegible forms, obsolete formats
- Contemporaneous: backdating, late entries
- Original: modifiable raw data, uncontrolled copies
- Accurate: calculation errors, untracked re-integrations
- Complete: missing data, partial saves
- Consistent: inconsistent timestamps
- Enduring: perishable or unstable media
- Available: unrecoverable data or untested backups
5. Evaluate severity × probability × detectability
Use a qualitative scale (high/medium/low) or numerical scoring.
Identify which risks are unacceptable.
6. Identify existing controls + gaps
Examples of controls:
- active audit trail
- double signature / four-eyes principle
- controlled forms
- automatic backups
- validated calculations
- individual user access
Identify what is missing or insufficient.
7. Mitigation actions
Concrete examples from the guide:
- enable the audit trail and review it weekly
- introduce an SOP for manual chromatogram integration
- eliminate shared accounts
- implement centralized backups with restore testing
- require mandatory justification for HPLC reinjections
⚠️ Watch out for…
- overly generic analyses (not accepted by inspectors)
- failure to document criteria and scoring
- relying only on organisational measures without technical controls
- classifying all risks as “medium/low” without justification
🔧 How to handle a non-conformity
If the DIRA reveals severe risks (e.g., non-recoverable data, disabled audit trail):
- open a deviation
- perform a root cause analysis
- implement technical and organisational CAPAs
- update the DIRA after implementation
🧰 GMP Best Practices
- Always document methods, assumptions and assessment criteria
- Involve end users who know the real process
- Link DIRA actions to the CAPA system
- Review the DIRA annually or after process changes
Condensed operational checklist
- Scope defined
- Complete data flow mapping
- ALCOA+ analysis for each step
- Risk scoring with clear criteria
- Gaps identified
- Mitigation actions assigned to owners
- Actions integrated into CAPA
- Periodic review scheduled
Realistic use case
QC HPLC system:
- Risk: manual reintegration without audit trail → high
- Action: enable audit trail + SOP for integration justification + QA spot-check review
Conclusion
A well-executed DIRA reduces risks and deviations, strengthens data quality, and ensures audit readiness.
Explore the complete guide on GuideGxP.com
