When collections from different systems or periods come together, similar fields and terms do not always mean the same thing. We make similarities and differences explicit in concordances and mapping tables.

From implicit similarity to explicit mapping

We compare fields, values, terms and structures and document equivalence, transformations and points that require human review.

For migration and ongoing reuse

Mappings can support system migration, data harmonisation, import/export, thesaurus alignment and cross-institution collaboration.

Control and quality

AI does the preparatory work. Results remain verifiable and are configured around your sources, fields, terminology and quality requirements. Where relevant, the source, passage, image or recording behind a result remains visible. Your organisation decides what is corrected, approved and ultimately used.

A concrete first step

We prefer to start with a clearly defined test set. Together we define the required output, quality criteria and review flow, so you can see what works before scaling up.

Concordances and mapping tables

From implicit similarity to explicit mapping

For migration and ongoing reuse

Control and quality

A concrete first step