Data catalogues and metadata for sourced datasets

External data you cannot find, understand or trust is external data you will not use. Metadata and catalogues turn a pile of files into a managed asset. This guide explains what good metadata looks like and why it matters for sourced data.

Available across the EU. DataSupplier sources and delivers this data in all 27 European Union countries — including Germany, France, Spain, Italy, the Netherlands and Poland — and across the EEA, in the format and cadence you need.

Why metadata is the multiplier

The value of a dataset depends on people being able to find it, understand it and trust it. Metadata, data about the data, is what makes that possible, and it is especially important for externally sourced data where context is easily lost.

What good metadata covers

• Descriptive: what the dataset is, fields and definitions.
• Provenance and lineage: where it came from and how it was transformed.
• Licensing: permitted uses and restrictions.
• Quality: known limitations, coverage and acceptance results.
• Operational: cadence, format, owner and contact.

Catalogues and standards

A data catalogue organises this metadata so datasets are discoverable and comparable. Standards such as DCAT (Data Catalog Vocabulary), used by European open-data portals, make catalogues interoperable across organisations.

Why it matters for sourced data

When data comes from outside, provenance and licence context are easy to lose, and losing them creates legal and quality risk. Capturing metadata at the point of sourcing keeps that context attached for the life of the dataset.

In a managed supply model

A managed approach produces catalogue-ready metadata as a deliverable: every sourced dataset arrives documented with provenance, licence, quality and operational detail, so buyers can govern and trust it from day one.

What a catalogue entry should contain

A useful catalogue entry goes well beyond a title. It should capture a clear description and field definitions, the provenance (source, collection method, date), the licence and permitted uses, known quality and coverage limits, and the operational facts: cadence, format, owner and contact. For externally sourced data, this metadata is what stops licence and provenance context from being lost at the hand-off, which is where most downstream legal and quality risk originates.

DCAT and interoperability

Standardised metadata makes catalogues interoperable rather than islands. DCAT (and the European application profile DCAT-AP, used by data.europa.eu) provides a common vocabulary for describing datasets, so they can be found and compared across organisations and portals. Adopting a standard schema for sourced-data metadata pays off as the catalogue grows: discovery, governance and reuse all become easier.

Sources & further reading

• W3C / European Commission: DCAT and DCAT-AP application profile.
• data.europa.eu: metadata and cataloguing guidance.
• DAMA-DMBOK: metadata management.
• ISO/IEC 11179: metadata registries.