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Solution

Collection Registration & Quality Control

Improve the quality, consistency and reliability of collection data. With smart support for registration and quality control, you can identify gaps, inconsistencies and duplicates more effectively and strengthen the basis for management, research and access.

Collection Registration & Quality Control

Reliable collection data is essential for collection management, research and public access. In practice, registrations are often built up over many years by different people, systems and methods. This can lead to inconsistencies, incomplete fields, duplicate records or terminology that is used in different ways. With Collection Registration & Quality Control, we help you improve the quality of collection data systematically and at scale, while keeping human expertise in control.

We help you analyse collection registrations, identify inconsistencies and support targeted quality control. This may involve validating provenance information, normalising field values, detecting duplicate object records, preparing migration or strengthening metadata quality.

What it delivers

More reliable collection data
Make registrations more complete, consistent and trustworthy.

More control over collection management
Work with data that better supports registration, management and internal workflows.

Faster quality control
Identify deviations, gaps and duplicates more precisely and efficiently.

A stronger basis for research and access
Make collection data more usable for provenance research, digital presentation and public use.

Better preparation for migration and exchange
Ensure cleaner and better-structured data when systems change or data is linked to other sources.