Field Validation in Grooper: Difference between revisions

Revision as of 11:33, 24 June 2024

"Field validation" refers to the various ways Grooper can warn users a Data Field or Data Column cell value may be inaccurate (or invalid). Invalid fields are set to an error state, making it more obvious for reviewers something is wrong. The Data Viewer may also be configured such that the Review task cannot be completed until the error is resolved.

Ways to validate data in Grooper

There are several ways data in a Data Model is validated in Grooper:

The Data Field/Data Column's Value Type configuration validates data based on what type of information is expected (e.g. decimal values, datetime values, string values, or other types of values)
"Required" fields are considered invalid if no value is collected.
Is Valid expressions
Calculated Value expressions (when
Database Lookups
Data Rules

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 "Field validation" refers to the various ways Grooper can warn users a '''Data Field''' or '''Data Column''' cell value may be inaccurate (or invalid).  Invalid fields are set to an error state, making it more obvious for reviewers something is wrong.  The '''''Data Viewer''''' may also be configured such that the '''Review''' task cannot be completed until the error is resolved.
+== Ways to validate data in Grooper ==
 There are several ways data in a '''Data Model''' is validated in Grooper:
@@ Line 9: / Line 11: @@
 * Data Rules
-== Value Types ==
+=== Value Types ===
+=== Required Fields ===
+=== Is Valid expressions ===
-== Required Fields ==
+== Calculated Value expressions ===
-== Is Valid expressions ==
+=== Database Lookups ===
-== Calculated Value expressions ==
+=== Data Rules ===