Precious Metals & Minerals · European Commission
EU Open Data Portal - Minerals Datasets
Datadory delivers eu open data portal minerals datasets data: one normalized read over the European Union's master catalogue of public-sector mineral records - roughly 4,857 matches for 'minerals' out of more than 1.9 million harvested entries, spanning geological survey inventories, mining-permit registers, raw-material maps and INSPIRE layers across every member state plus EEA contributors - each flattened onto a fourteen-field documented schema.
API, files, or your warehouse. Daily, weekly, or hourly.
- Where it covers
- The whole European frame in one query - EU institutions alongside the national portals of every member state, with EEA contributors such as Norway feeding the index and some global research outputs hosted on EU repositories
- How far back
- Set per underlying dataset rather than by the index - declared frequencies observed on this slice run from weekly, as with the Czech minerals inventory, down to static archives and one-off map publications
- How fine
- One metadata record per matched dataset; observation-level numbers live one hop downstream in each publisher's own series
What is the EU Open Data Portal (minerals datasets)?
One query against Europe's master catalogue, cut to the minerals vein. data.europa.eu, operated by the Publications Office of the European Union, harvests dataset metadata from every member state's national portal, from EU institutions, and from EEA contributors such as Norway into a single searchable index of more than 1.9 million records. A query for 'minerals' returned roughly 4,857 matches when we reviewed it on 21 August 2026.
The structural fact that shapes everything else: the portal indexes who publishes what rather than hosting the files themselves. Every hit is a catalogue record describing a publisher-held dataset, so this slice works as the authoritative map of European mineral data - not as a statistics series.
And the map is worth having. Verified entries span the Czech Republic's INSPIRE-harmonized minerals inventory, declared weekly and served as GeoJSON beside ArcGIS REST and WFS services; Norway's mineral exploration- and extraction-permit register delivered through an INSPIRE download service; Ireland's Geological Survey minerals datasets in Shapefile, JSON and map-service forms; Germany's 1:200,000 map of raw materials close to the surface (KOR200); and Zenodo-hosted research including a global database of coal and metal mine production. No single national survey consolidates that spread. See DCAT-AP for the record standard underneath.
What do sample rows look like?
Three real hits captured during the August 2026 review, shown flat exactly as their fields arrive:
# Three real records captured at the August 2026 review, flat, exactly as the fields arrive
title : Minerals inventory – INSPIRE harmonized data
for the Czech Republic
country : Czechia declared : weekly
formats : GeoJSON (+ ArcGIS REST, WFS services)
title : Mineral exploration- and extraction permits
country : Norway declared : -
formats : INSPIRE DOWNLOAD SERVICE
title : Map of the raw materials close to the surface in the
Federal Republic of Germany 1:200,000 (KOR200)
country : Germany declared : -
formats : PDF
# The shape every other record repeats
title : <multilingual, keyed by language code>
publisher : <geological survey | ministry | EU institution>
country : <country of the publishing catalogue>
distributions: <one entry per file or service, format labelled>Read them together and three procurement questions answer themselves. Which office holds the file - a state geological survey in Czechia's case, Norway's permitting authority, a German mapping programme. Whether the underlying work keeps moving - the Czech inventory declares weekly currency while the German map sheet is what it is. And whether the payload arrives machine-readable or as a scanned cartographic product. Those three signals travel with every record in the index, which is why the slice scans fast: the ranking work happens on the metadata before anyone touches the files underneath.
What fields does the dataset include?
Fourteen documented fields describe every record, with definitions verified against live responses during the August 2026 research pass. Two identify the item in language-keyed form (title, description) beside its catalogue id; one attributes it (publisher); one locates the publishing catalogue (country); two classify it (keywords, accrual_periodicity); one carries the access classification (access_right); four handle the payload pointers (distributions with per-entry format and access labels, plus the page reference); and two flag standing (is_hvd, quality_meas). The full dictionary follows in tabular form - nothing about a record hides behind pagination or detail views.
Which fields arrive only on request?
A handful of deeper attributes ride the same record structure and fold into a delivery when your use case calls for them:
- Issued and modified timestamps - the dates the underlying dataset was first published and last revised, so staleness is judgeable per record rather than asserted.
- Theme and category labels - the subject classifications assigned by the harvesting hub, useful for separating genuine datasets from services and documents.
- Per-distribution media types - the precise media type behind each format label, one entry per file or service.
- Full multilingual variants - complete title and description maps across every language the publishing catalogue supplies, not just the English rendering.
- Harvest lineage - the stamp tying a record back to the national catalogue it was read from.
They ship mapped to your scope once the sample names the countries and record types that matter.
What does coverage look like across geography, time and granularity?
Geography - the whole European frame in one query. EU institutions publish alongside the national portals of every member state, with EEA contributors such as Norway feeding the index too, and some global research outputs hosted on EU repositories widening the reach past Europe's borders. One filtered pass replaces a tour of dozens of national catalogues.
Temporal - set per underlying dataset rather than by the index. Declared frequencies observed on this slice run from weekly, as with the Czech minerals inventory, down to static archives and one-off map publications. Currency is therefore judgeable per record, and the record carries the fields to judge it.
Granularity - one metadata record per matched dataset. Observation-level numbers live one hop downstream, inside each publisher's own series; this layer establishes that the series exists, who holds it, how it is described and in what formats it can be had.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Records arrive flattened: titles resolved across languages, publisher and country typed as separate keys, distribution entries exploded one row per file or service. The result reads as a table you can rank and filter, not a pile of catalogue pages. Name the countries, the record families and the question behind the request when you ask for the sample - the sample ships first either way, and the ongoing feed lands on whatever cadence your workflow runs, shaped to the scope you named.
Who uses this data, and for what?
A discovery layer earns its keep in five specific jobs:
- Multi-country sourcing sweeps - establish which member state or institution holds a given survey inventory, permit register or raw-material map before anyone tours national portals by hand.
- Permit-register monitoring - recurring pulls surface newly indexed exploration and extraction registers, turning the portal into a standing watch on European permitting activity rather than a one-off lookup.
- Raw-materials screening - INSPIRE mineral-resource layers and close-to-the-surface maps like Germany's KOR200 give early-stage prospectivity and supply-chain work their starting geometry.
- Citation provenance - every record names its office of origin and points back to the publishing portal, which is the trail journalists and academics need for claims that survive an editor or a reviewer.
- Pre-commissioning audits - prove which mineral datasets the European public sector already publishes before anyone budgets collecting what exists.
Which personas get the most value?
Journalists, Academics & Students lead fit: publisher-attributed records with institutional provenance make citations auditable end to end - see journalists academics use cases. Market Researchers & Consultants run multi-country sourcing as a daily grind, and this collapses it into one query layer - see market researchers use cases. Investors & Quant Researchers use the slice to locate member-state geology and permitting material behind resource-security theses - see investors quants use cases. Developers & Data-Product Builders stand discovery and monitoring features on a fixed fourteen-field schema that parses once - see developers builders use cases. Data Scientists & ML Engineers treat it as feature-discovery scaffolding before committing ingestion effort, and E-commerce Operators lean on geology and permit layers when advising on materials sourcing - see e-commerce operators use cases.
Notes and related datasets
Provenance note - compiled by the Publications Office of the European Union, which aggregates metadata from member-state portals, EU institutions and EEA contributors into one catalogue. One harvesting hand across the whole index is why the record schema holds identically from Czechia to Norway. The data.europa.eu source profile covers the other seven collections drawn from the same portal.
Methodology note - keyword matching over heterogeneous catalogues is loose by nature. Swedish dietary surveys appeared among 'minerals' results at the August 2026 review, and the browser-facing result count can drift slightly from the retrieval figure because the search view renders client-side. Treat ~4,857 as a scale photograph, not an inventory commitment, and expect the sample pass to filter the subset that actually answers your question.
Completeness note - Datadory scores this record 7/10 against a catalog mean of 7.81 across 1,744 datasets, mid-pack for the 27-record precious metals & minerals slice. Breadth is the asset here; depth lives in the destination feeds joined through once a source is named. Start from the mineral deposit database shapefile guide for the GIS side, then compare against the ranked best precious metals & minerals datasets.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| Field | Type | Definition | Example |
|---|---|---|---|
id | string | Unique catalogue identifier assigned to the dataset within the portal index. | 0f0967bf-05e6-4dbc-b483-3ce342e4993a |
title | text | Dataset title supplied by the publishing catalogue, provided in multiple languages keyed by language code. | Minerals inventory – INSPIRE harmonized data for the Czech Republic |
description | text | Multilingual abstract of the dataset content carried over from the originating catalogue. | Survey-written abstract of scope and coverage |
publisher | string | Publishing organisation behind the dataset - a geological survey, ministry, statistics office or EU institution. | Czech geological survey (resource label) |
country | string | Country of the publishing catalogue, e.g. Czechia, Norway, Ireland, Germany, or the EU institutions. | Czechia |
keywords | text | Descriptive keywords with language tags, used for filtering and related-record search. | mineral-resource, geology, mining-district |
accrual_periodicity | enum | Declared update-frequency authority code for the underlying dataset, e.g. weekly, annual. | weekly |
access_right | string | Access classification attached to the record by its publisher. | public |
distributions | array | List of representations of the dataset, one entry per file or service, each carrying a format label plus access and download locations. | {format: GeoJSON} |
distributions[].format | string | File-type or service-type authority label on each distribution, such as GEOJSON, ESRI REST, WMS, WFS, Shapefile, CSV or PDF. | GEOJSON |
distributions[].access_url | string | Location through which the individual distribution is reached, resolved at the publishing portal. | (resolved at the publishing portal) |
page | string | Pointer to the dataset's landing view at the original source portal. | (origin-portal landing page, one per record) |
is_hvd | boolean | Flag marking datasets designated High Value Datasets under EU regulation. | false |
quality_meas | text | Metadata-quality metrics computed for the record by the portal. | per-record metadata quality score |
What teams do with it
- Multi-country sourcing sweeps Establish which member state or institution holds a given survey inventory, permit register or raw-material map before anyone tours national portals by hand.
- Permit-register monitoring Recurring pulls surface newly indexed exploration and extraction registers, turning the portal into a standing watch on European permitting activity.
- Raw-materials screening INSPIRE mineral-resource layers and close-to-the-surface maps give early-stage prospectivity and supply-chain work their starting geometry.
- Citation provenance Every record names its office of origin and points back to the publishing portal - the trail claims need to survive an editor or a reviewer.
- Pre-commissioning audits Prove which mineral datasets the European public sector already publishes before anyone budgets collecting what exists.
Questions buyers ask
How many minerals datasets does one query of the EU portal cover?
Roughly 4,857 records matched 'minerals' at the 21 August 2026 review, inside an index of more than 1.9 million harvested catalogue entries. The figure is a scale photograph rather than a fixed inventory - it moves as member states and EU institutions contribute new records, and the browser-facing count can differ slightly from the retrieval total.
Does the index host the underlying data itself?
No. Every entry is a metadata record describing a publisher-held dataset: title, abstract, publisher, country, declared frequency and distribution listing. The payloads resolve at each originating national portal. Where a named series matters, the natural shape is a paired delivery - this slice for reach, the underlying feed joined through for the numbers.
Which countries' material shows up in the minerals results?
Records verified during the August 2026 review came from Czechia's weekly INSPIRE-harmonized minerals inventory, Norway's mineral exploration- and extraction-permit register, Ireland's Geological Survey minerals datasets and Germany's 1:200,000 raw-materials map, with EU institutions and Zenodo-hosted research such as a global coal and metal mine production database rounding out the frame.
How precise is a 'minerals' keyword match?
Loose, because the index matches free text across thousands of heterogeneous catalogues. Swedish dietary surveys appeared among the results at review. Scoping by country, record type and theme isolates the genuinely mineral-bearing subset, which is exactly how samples are cut - to the records that answer a named question rather than the raw hit list.
What does one delivered row contain?
One catalogue record flattened to the fourteen-field dictionary: the catalogue id, language-keyed title and description, publisher, publishing country, keywords, declared update-frequency code, access classification, the distributions list with a format label per file or service, the origin-portal landing reference, the high-value-dataset flag and the portal's metadata-quality metrics.
Can a sample be scoped to my countries and record types?
Yes. Name the countries, the record families - permit registers, survey inventories, raw-material maps, research outputs - and the question the rows need to answer, and the sample arrives in exactly the schema shown above, extended across whichever slice you need, with the deeper timestamp and theme attributes confirmed for those specific records.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.