Data and technology · Practitioner guidance

System Interface Validation

Validate data meaning, mapping, transformation, sequence, acknowledgement, exception handling, retry, reconciliation, security, and monitoring across systems.

Author
Sandip Thorat
Published
12 September 2026
Last reviewed
12 September 2026
Version
1.0
Content type
Practitioner guidance
Primary references
2 linked sources in this guide

Define the interface

Document the source and destination systems, data owner, data elements, units, identifiers, mapping, transformation rules, frequency or trigger, acknowledgement, error handling, retry, reconciliation, security, audit trail, monitoring, and accountable support roles. Clarify which system is authoritative for each field and status.

Minimum test scenarios

ScenarioEvidence to retain
Normal transferSource value, transmitted payload, destination value, status, acknowledgement, and timing
Incorrect or invalid dataRejection or hold behavior, error detail, ownership, and no unintended posting
Missing or partial dataRequired-field control, message state, exception record, and recovery
Duplicate or out-of-order dataIdempotency or duplicate control, sequence behavior, and business result
Delayed or failed transferAlert, queue state, retry, manual action, and reconciliation
Mapping or transformation errorExpected conversion, precision, unit, code, status, and boundary behavior
Recovery and reconciliationComplete replay without duplicate effect and accountable exception closure

Completed fictional LIMS-to-ERP example

The interface sends an approved assay result from the laboratory information management system (LIMS) to enterprise resource planning (ERP). The payload includes result value, unit, material, batch, sample, method, specification status, approval status, and timestamp. Tests challenge valid transfer, an unknown unit, missing batch identifier, duplicate message, delayed acknowledgement, destination outage, retry, partial payload, incorrect material mapping, and daily reconciliation.

The unknown unit initially defaults to percent and posts successfully. This is a validation deviation because a technically successful message has incorrect meaning. The design is changed to hold unrecognized units, create an accountable exception, and prevent material-status update. Targeted retest and end-to-end reconciliation pass before release.

Regulatory and procedural context

Primary sources. 21 CFR Part 11 is relevant where the interface creates, modifies, maintains, retrieves, or transmits records in scope. EU GMP Annex 11 addresses data exchange, accuracy checks, security, and continuity for applicable GMP systems.

Company procedure. The organization’s approved validation, change-control, supplier-management, information-security, data-integrity, records-retention, and Quality approval procedures determine the required records, roles, and approval route.

CSVtoCSA practitioner interpretation. A successful transport code is not evidence that the correct regulated meaning reached the correct record and controlled process. This is a recommended validation approach, not a statement that every listed activity is a direct regulatory requirement.