Internal / Draft / Data Manager / Validation

Data Validation

Last updated on 13-Mar-2018 by Thomas P. Boesen
Thomas P. Boesen

Founder
boesen@scifeon.com

General Approach

Accept data generously, then validate once in the database

Client Side on Data Entry

QA and Result Publishing

Async Data Validation

Basic Rules

Examples:

  • Barcode unique within a storage system
  • Generic cross references
  • Status cascades

Garbage Collector

Cascading cancelation of entities remaining in Starting state for more than two hours.

Customisation