Completeness check

This type of validation is performed by the tool once you click the 'Finalize' button after completing the extraction.

There are four categories of errors that the tool will check:

• Not verified suggestions (AI model suggestions or, in the case of the QA stage, values extracted by the first reviewer). 

• Non-coded values (values extracted but not matched to the list of terms from the vocabulary, or a new term was not created).

• Missing connections.

• Empty fields.

All errors are presented separately for each tab. To correct extracted data, click on the relevant type of error, and you will be redirected to the data extraction form. 

Two types of errors prevent finalizing data extraction:
      -Not verified suggestions (AI model suggestions or, in the case of the QA stage, values extracted by the first reviewer).
     - Empty required fields.
Tabs with these errors will be highlighted in red. However, you have the option to automatically accept or reject suggestions or mark all empty required fields as 'not reported.'

When there are no significant errors in the tabs (now marked in blue), you will see the remaining missing items. You have two options here: correct each error or save anyway.

RELATED ARTICLES

1. Validation of extracted data - introduction  
2. Quality assurance stage  
3. Modification of extracted data on Reference list