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Data quality checks · Web & mobile apps

Document upload portals: data quality checks

Agree what a valid source record looks like. Start with sample document types and size limits and plan a validated upload and review queue.

Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.

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The project in view

Start with
sample document types and size limits.
Proposed result
a validated upload and review queue.
A decision to resolve
unsupported files and interrupted uploads.

This is a planning example. It does not describe a completed client engagement.

Data quality checks for this project

  • Check sample document types and size limits for completeness, conflicting versions and consistent references.
  • Add a separate validation rule for unsupported files and interrupted uploads.
  • Keep unresolved records separate from a validated upload and review queue; record the reason rather than silently filling a gap.

Questions to answer together

  • Which fields, references or measurements must be present?
  • How are duplicates, contradictions and missing values reported?
  • Which corrections require confirmation from the source owner?

What to have at the end

A validation checklist with examples of valid, rejected and unresolved records.

Record the decision on unsupported files and interrupted uploads alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.

Prepare your enquiry

Use this as a starting point. Add your current process, available examples and constraints before sharing.

Email Ian

Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.