EU Open Data Portal - Gold Datasets

Datadory delivers eu open data portal gold datasets data: a single index over Europe's public-sector gold material - Swiss customs import statistics by country, Greek central-bank bullion price bulletins, French gold fix histories and INSPIRE mineral-resource layers harvested from national portals across the EU and associated countries. One query returned 1,974 catalog records.

What is the EU Open Data Portal - Gold Datasets?

One search box over Europe's public-sector gold output. data.europa.eu, operated by the Publications Office of the European Union, harvests dataset metadata from EU institution catalogues and every member state's national portal into a single DCAT-AP index - and associated countries such as Switzerland and Norway feed it too. A query for 'gold' this session returned 1,974 catalog records.

The headline count needs an honest footnote: most hits are noise. Zoning plans for places named Goldberg and Goldbach, Cote d'Or risk maps, pest records for flavescence doree and 'gold standard' ML corpora all match the string. The genuinely gold-relevant subset sits at roughly a few dozen records - and it contains things no harmonized EU database holds: Swiss customs import tables, a Greek central-bank bullion bulletin, French gold fix histories, geological survey map services. That tail is the product.

What does a sample result look like?

Each hit is a metadata record, not a raw table - which is why a shortlist scans fast. Four real entries from the query above:

title     : Goods: Foreign trade - Gold imports by country
publisher : Federal Customs Administration   country: ch   formats: CSV, JSON, XLSX

title     : Bulletin of prices of gold bars and gold coins
            from 2001 to present
publisher : Bank of Greece                   country: gr   formats: XLSX

title     : INSPIRE SN Mineral Resources
publisher : Saxony state survey              country: de   formats: WMS, WFS

title     : Geochemical Atlas of Spain - gold isocontour map service
publisher : IGME                             country: es   formats: WMS

Four countries, four publishers, four format profiles - customs statistics, central-bank prices and two flavours of geoscience layer in four lines of scanning. That is the working pattern: filter the noise, read the distribution formats, then decide which national sources deserve deeper inspection.

What fields does the dataset include?

Eleven fields describe every indexed record, verified against live responses during research. The dictionary below covers that schema; nothing about a record is hidden behind pagination or detail views.

Fields marked uncertain are folded under additional fields on request - ask and we will confirm them for the specific records you need before you commit to anything.

What does coverage look like across geography, time and granularity?

Geographic - EU institutions plus the national portals of all member states and associated countries. Relevant hits observed during research came from Switzerland, Greece, France, Germany and Spain, alongside EU-level compilations such as the 28-country gold reserves file.

Temporal - set by each underlying dataset rather than the index. The Swiss customs series runs monthly from 2012 with historical files reaching back to 1982; the Greek bullion bulletin covers 2001 to present at daily frequency; other observed hits stretched from 1980s releases to 2026 publications. Every record ships its own issued and modified dates, so staleness is checkable before trust.

Granularity - one record per dataset, not per observation. Inside a given dataset granularity varies by publisher: monthly customs tables, daily price bulletins, static geochemical map services. That variance is exactly what the metadata lets you evaluate before committing.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Who uses this data, and for what?

  • Precious-metals trade analysis - Swiss customs detail on gold imports by country of origin gives physical-flow context that exchange price feeds cannot, especially for flows into non-EU hubs like Zurich that Eurostat's EU-only tables never capture.
  • Price-history construction - the Bank of Greece bullion bulletin and French gold fix histories supply long national price runs (2001-present, and two decades of fix changes) for backtesting and benchmark building alongside LBMA series.
  • Reserves and sovereign-holding research - the 28-country European gold reserves compilation offers one consistent snapshot where assembling central-bank disclosures manually means dozens of annual reports.
  • Exploration and mineral-resource screening - INSPIRE mineral-resource layers from German state surveys, the Spanish geochemical atlas gold isocontours and BRGM's French Guiana gold-panning deforestation series feed early-stage prospectivity work.
  • Source discovery before procurement - teams evaluating paid precious-metals feeds use the index to establish what already exists publicly in each target country first.

Which personas get the most value?

Market researchers and consultants get a cross-country sweep of gold material in one place - the fastest way to answer "what exists for Switzerland?" without crawling seven portals. Investors and quant researchers mining bullion-price and physical-import signals get long national series that harmonized EU aggregates lag or omit. Data scientists and ML engineers get a uniform DCAT-AP schema across every publisher, so one ingestion pipeline reads all countries' records identically. Journalists and academics get citable, publisher-attributed records - every entry names its office of origin.

What should I know before requesting a sample?

Three honest caveats. First, result counts are point-in-time: the 1,974 figure was true at research time and moves as national portals re-harvest, so treat it as a scale indicator, not an inventory commitment. Second, the relevance ratio is low by nature - a keyword index over thousands of heterogeneous catalogues matches place names and idioms as readily as the metal, which is why Datadory filters the subset before sampling rather than handing over raw hits. Third, reuse terms sit with each originating publisher, not the index - a Swiss customs table and a Greek price sheet can carry different obligations inside one result list, and confirming those terms is part of sample scoping.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - eleven fields describing every indexed gold-dataset record
fieldtypedefinitionexample
identifierstringUnique catalog record identifier assigned by the harvesting hub.bazg_gold_land
titletextDataset title as provided by the originating publisher, often multilingual.Goods: Foreign trade - Gold imports by country
descriptiontextDataset abstract carried over from the source catalogue.Monthly gold import volumes by country of origin
countrystringCountry of the publishing catalogue.Switzerland
publisherstringPublishing organisation of the underlying dataset - a customs authority, central bank, state survey or ministry.Federal Customs Administration
distributions[].formatstringFile or service format of each attached distribution.XLSX
landing_pagestringRecord page on the originating portal where the publisher serves the dataset.(origin portal landing page, one per record)
issueddateDate the underlying dataset was first issued.2012-01-01
modifieddateDate the dataset or its catalog record was last modified.2026-07-01
categories[].labelstringSubject category assigned by the harvesting hub.trade
is_hvdbooleanFlag marking the record as a high-value dataset under EU implementing regulation 2023/138.false

Questions buyers ask

How many gold datasets does one search of the EU portal cover?

At the time of research in August 2026, a query for 'gold' returned 1,974 catalog records. The index aggregates holdings from EU institutions plus the national portals of every member state and associated countries such as Switzerland and Norway, and the count moves as those sources re-harvest.

Are all 1,974 results genuinely about gold?

No. The relevant subset is estimated at a few dozen records once false positives are stripped out: German zoning plans for places named Goldberg or Goldbach, Cote d'Or department risk maps, agricultural pest records for flavescence doree, gold nanoparticle chemistry papers and 'gold standard' machine-learning corpora. Relevance filtering is part of what Datadory does before a sample reaches you.

What gold material does it surface that Eurostat does not?

Country-level material that never enters EU harmonization: the Swiss Federal Customs Administration's gold-import series by country of origin (monthly from 2012 with history back to 1982), the Bank of Greece bulletin of gold bar and coin prices from 2001 to present, French gold fix histories, a European gold reserves compilation covering 28 countries, and INSPIRE mineral-resource map layers from German state surveys and the Spanish Geological Survey.

Does each record describe the data itself or just link to it?

Each record is metadata: title, description, publishing organisation, country, keywords, issue and modification dates, format labels per distribution and an is_hvd flag marking high-value datasets under EU implementing regulation 2023/138. The underlying tables live with their national publishers; the record tells you exactly who holds them and in what formats.

How far back does the coverage go?

It depends entirely on the underlying dataset. Observed hits ranged from 1980s historical files to 2026 releases - the Swiss customs series runs from 2012 monthly with XLSX history to 1982, while the Greek bullion bulletin covers 2001 to present at daily frequency. Every record carries its own issued and modified dates so freshness can be checked per source.

Can I get a sample before committing?

Yes. Request a sample of this dataset and you will receive real records drawn from the filtered gold subset plus the full field dictionary, so you can verify publisher attributions, format profiles and date ranges against your own use case before any delivery arrangement is set.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

See pricing