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Master Data Verification Concept for Labware LIMS

A large pharmaceutical site faced difficulties migrating millions of datasets from an older Labware v5 system to a new Labware v8 platform. The transfer required a reliable approach to mapping, updating, and verifying legacy Master Data while ensuring that day-to-day operations in the lab remained unaffected. Zamann Pharma Support was brought in to design a plan that would manage the massive data extraction, align it with the new system’s configuration, and enforce a temporary “Master Data Freeze.” A structured backlog management system was introduced to handle ongoing Master Data changes without interrupting the validation timeline or the site’s operational workflows.

Challenges Faced

A detailed GAP analysis in Quality Management Systems is essential for identifying process deficiencies effectively.
  • Huge Volume of Legacy Data: Millions of data records had to be extracted and converted accurately. Any mismatch in data format or nomenclature risked errors that could undermine both regulatory requirements and daily lab work.
  • Outdated or Faulty Master Data: Over time, the old system contained inaccuracies, missing details, and outdated references. Correcting this information was critical to avoid carrying issues into the new environment.
  • Operational Continuity: A “Master Data Freeze” was required during the validation phase to maintain data consistency. However, the site needed to keep running without delays, necessitating a plan for handling new or changing Master Data requests.
  • Regulatory Expectations: The system transition demanded compliance with strict guidelines for data integrity, traceability, and audit readiness. A robust migration plan had to be documented and executed meticulously.

Zamann Pharma Support’s Approach

  • Detailed Assessment: A thorough review of the legacy Labware v5 database was conducted. Special attention was given to existing data structures, naming conventions, and any historical anomalies. The new Labware v8 configuration requirements were also reviewed to identify potential discrepancies early on.
  • Mapping and Transformation Strategy: Scripts and automated tools were developed to extract, clean, and transform the legacy datasets. Faulty Master Data records were flagged for manual review. This ensured that only verified and corrected information migrated to Labware v8.
  • Master Data Freeze and Backlog Management: A clear cutoff date was established for any changes to Master Data, creating a freeze period that allowed validation activities to proceed without unplanned updates. During this freeze, a backlog tool captured new requests and modifications. Once the system went live and passed the initial hypercare phase, these backlog items were methodically processed and integrated. This approach minimized downtime and prevented conflicting updates from interrupting the validation cycle.
  • Validation and Testing: Comprehensive scripts were executed to confirm that migrated data aligned with the new system’s rules. Functional tests ensured that sample management, analytical methods, and user privileges behaved as intended. Each step of the process was documented to satisfy regulatory standards, including audit trails and version control.
  • Training and Handovers: Hands-on sessions provided the site’s teams with guidance on using the new system, updating Master Data post-freeze, and tracking any changes through the backlog management system. This helped staff understand how to handle future data requests while maintaining a validated state.

Results Achieved

  • Accurate and Updated Master Data: The migration process rectified historical inaccuracies, resulting in a more reliable dataset in Labware v8.
  • Smooth Validation: The freeze strategy and backlog system allowed the validation efforts to conclude on time while keeping the lab operational.
  • Reduced Risk: Potential errors from outdated or mismatched records were addressed proactively, avoiding costly regulatory or quality impacts.
  • Efficient Workflows: With data consolidated and validated, lab personnel experienced fewer interruptions, and the organization benefited from improved traceability.
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FAQ

1.How can labs ensure accurate Master Data during a large LIMS migration?

Use automated mapping and transformation scripts combined with manual verification for anomalies. Freeze Master Data temporarily and manage changes through a backlog to maintain accuracy.

2.What methods help maintain lab operations while performing a Master Data Freeze?

Implement a structured backlog system for new or updated requests, allowing ongoing workflows to continue without affecting validation timelines or compliance.

3.How do organizations reduce regulatory risk when migrating legacy LIMS data?

Validate all migrated data against the new system’s rules, document every step with audit trails and version control, and train staff on post-migration data handling and backlog management.