Chromatographic data review process flowchart

A chromatographic data review process chart for confirming run context, reviewing integration and audit trails, resolving processing queries, assessing results and approving the review record.

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What the chromatographic data review process is

A chromatographic result cannot be reviewed in isolation from its sequence, sample set and method version. This template begins by confirming that context, then guides the reviewer through integration, processing and audit-trail evidence before the result assessment is complete.

When processing choices are not supported by the record, the analyst receives a documented query and may perform justified reprocessing. A data set that remains unacceptable follows an escalation path to assess affected results before it returns to review, rather than being treated as a routine correction.

What this flowchart covers

In this template

  • Analyst, Data Reviewer and Quality or Method Owner lanes show who owns data context, review and escalation.
  • Sequence, sample set and method version identified? secures the data and clarifies context before detailed review.
  • Processing choices supported by record? routes an unsupported choice to a documented query and justified reprocessing.
  • Data set acceptable for reporting? either approves the review record or escalates the discrepancy and affected-result assessment.

When to use this template

  • You need an editable chromatographic review workflow that includes run context, processing choices and data-record evidence.
  • Analysts and reviewers need a defined route for integration or processing questions before results are reported.
  • A data discrepancy can affect more than one result and needs escalation rather than a local correction alone.

How it works

  1. Define the data package

    List the sequence details, sample-set information, method version, processing records and audit-trail source that reviewers need. Match the terms to the chromatography system and records used at your site.

  2. Set justified processing rules

    Document where your laboratory records integration and processing decisions, and who can request or perform a justified reprocessing step. Do not infer a universal rule from this template.

  3. Map affected-result assessment

    Specify who assesses potential impact on related injections, samples or reported results when a discrepancy is escalated. Link the appropriate investigation or quality process for work outside routine review.

  4. Record the final review

    Add the review record, approver and downstream reporting handoff used in your laboratory. Preserve the return loop when the data set cannot support reporting at the first review.

Frequently asked questions

What is covered by chromatographic data review?

The workflow checks that the sequence, sample set and method context are known, then reviews integration, processing, audit-trail entries, suitability, calculations and reported results before the review record is approved or escalated.

What happens when processing choices are not supported?

The chart records a review query and requests justified reprocessing, then returns the data to review. It is designed to make the rationale and handoff visible, not to prescribe which processing choices are acceptable.

Why does an unacceptable data set return to review?

An unacceptable data set may need a controlled discrepancy assessment and a review of affected results before the data package can be reconsidered. The loop prevents the escalation from becoming an untracked endpoint.

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