In Vega Discover, Concepts are currently generated separately for each instance of subject metadata drawn from fields such as 648, 650, 653 etc, including distinctions based on indicators and thesaurus codes (e.g., LCSH, FAST, local/uncontrolled terms). As a result, identical subject headings can appear multiple times as distinct Concepts, even though the visible label is the same. This leads to unnecessary duplication and forces patrons to choose between several identical facet values, creating confusion and reducing the usefulness of the facet.

It would be highly beneficial if Vega could normalize and merge identical subject strings into a single Concept, regardless of MARC field, indicators, or source.

This would significantly improve the patron search experience.