Metadata Infrastructure Health Check

The problem

Catalogues accumulate inconsistencies faster than they can be cleaned, and the true cost of fixing them as a whole stays hidden. Without a sense of scale or a clear picture of the gaps, the work can't be scoped — and each unaddressed issue makes the next harder to find, while the backlog quietly outpaces the cleanup.

Our approach

We run a structured assessment of the metadata and the systems that produce it, measuring quality, identifier integrity, and crosswalks to standards such as DataCite, DCAT, and schema.org. The gaps are ranked, and the output is a prioritised remediation roadmap. Wherever the fixes can be scripted, we execute them in bulk rather than leaving them as recommendations.

What we deliver

• —Bulk correction scripts, normalisation, identifier reconciliation, vocabulary alignment
• —Schema extensions aligned to target standards
• —Application profiles and crosswalks for specific exchange partners
• —Curation passes on prioritised subsets
• —Continuous quality monitoring

How we work

The Basic package delivers the assessment and the remediation roadmap. The Advanced package builds on that with a full interoperability audit, a strategy proposal, and a follow-up before-and-after comparison — so the improvement is not just delivered but measurable.