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dataportals-registry

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Registry of data portals, catalogs, data repositories including data catalogs dataset and catalog description standard

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# dataportals-registry
Registry of data portals, catalogs, data repositories and e.t.c.

This is a transitional repository to create registry of all existing open data portals and repositories.

This is the first pillar of the open search engine project. Other pillars include:
* **registry of all catalogs** (this one)
* datasets raw metadata database
* unified dataset search index and search engine
* datasets backup and file cache

Please take a look at [project mindmap](/assets/commondataindex.png) to see it's goals and structure.

## What kind of data catalogs collected?

This registry includes description of the following data catalogs:
* Open data portals
* Geoportals
* Scientific data repositories
* Indicators catalogs
* Microdata catalogs
* Machine learning catalogs
* Data search engines
* API Catalogs
* Data marketplaces
* Other

## Inspiration

This project inspired by Re3Data and Fairsharing projects. Key difference is the focus on open data as a broad topic, not just open research data.

Final version of this repository will be reorganized as database with publicly available open API and bulk data dumps.

## How this repository organized

**Warning: this is temporary description and subject of change**

### Entities
Data catalog descriptions are YAML files in *data/entities* folder. Files separated by country/territory folders and inside each country folder there are folders like *scientific*, *opendata*, *microdata*, *geo*, *search*, *marketplace*, *other*.

#### Example

Data.gov YAML file

```yaml
access_mode:
- open
api: true
api_status: active
catalog_type: Open data portal
content_types:
- dataset
coverage:
- location:
    country:
      id: US
      name: United States
    level: 1
endpoints:
- type: ckanapi
  url: https://catalog.data.gov/api/3
export_standard: CKAN API
id: catalogdatagov
identifiers:
- id: wikidata
  url: https://www.wikidata.org/wiki/Q5227102
  value: Q5227102
- id: re3data
  url: https://www.re3data.org/repository/r3d100010078
  value: r3d100010078
- id: fairsharing
  url: https://fairsharing.org/FAIRsharing.6069e1
  value: FAIRsharing.6069e1
langs:
- EN
link: https://catalog.data.gov
name: NETL Energy Data eXchange
owner:
  location:
    country:
      id: US
      name: United States
    level: 1
  name: U.S. Department of Energy
  type: Central government
software: CKAN
status: active
tags:
- government
- has_api
```

### Datasets and code

Datasets kept in *data/datasets* folder, right now it's catalogs.jsonl file generated by script builder.py in *scripts* folder.

Run ```python builder.py build``` in *scripts* folder to regenerate catalogs.jsonl file from YAML files.

## Data exports

Latest snapshot (2026-06-17):

- `data/datasets/catalogs.jsonl` (+ `.zst`): 14,470 catalog records
- `data/datasets/software.jsonl` (+ `.zst`): 135 software/platform definitions
- `data/datasets/scheduled.jsonl` (+ `.zst`): scheduled sources to crawl (empty; all promoted or removed)
- `data/datasets/full.jsonl` (+ `.zst`): 14,470 combined entities + scheduled records
- `data/datasets/full.parquet`, `data/datasets/datasets.duckdb`: analytics-friendly exports
- `data/datasets/bytype/`, `data/datasets/bysoftware/`: sliced JSONL exports by catalog type or platform

All `.zst` files can be decompressed with `unzstd file.zst` (zstd), and DuckDB exports can be queried directly with `duckdb` or Python's `duckdb` package.

## Discovery

How to find catalogs in this registry:

**By geography**  
- Entity YAMLs live under `data/entities/COUNTRY_CODE/` (e.g. `US`, `FR`, `BR`).  
- Use `Federal/` for federal-level catalogs and subregion codes for states/regions (e.g. `US-CA`, `US-VA`, `BR-SP`).  
- One YAML per catalog; filename is the catalog `id`.

**By catalog type**  
- Under each country (or `scheduled/`), type folders: `opendata/`, `geo/`, `scientific/`, `microdata/`, `indicators/`, `ml/`, `search/`, `api/`, `marketplace/`, `other/`.

**By software taxonomy**  
- Software definitions in `data/software/` include:
  - `category`: domain family (Open data portal, Geoportal, Scientific data repository, etc.)
  - `subtype`: product form/deployment model (for example `data_portal_platform`, `managed_saas_service`, `protocol_or_api_server`)
- Use `subtype` for cross-category comparisons such as self-hosted platforms vs managed SaaS vs protocol-first components.

**From export artifacts**  
- **catalogs.jsonl** / **full.jsonl**: line-delimited JSON (entities only, or entities + scheduled).  
- **full.parquet**, **data/datasets/datasets.duckdb**: for analytics; query with DuckDB or pandas.  
- **data/datasets/bytype/** and **data/datasets/bysoftware/**: pre-sliced JSONL by catalog type or software platform.

Example DuckDB query (all CKAN catalogs in the US from the full export). The built DuckDB store normalizes nested fields to JSON strings, so filter on the `software` and `coverage` string columns:

```sql
SELECT id, name, link
FROM catalogs
WHERE software LIKE '%"id":"ckan"%'
  AND coverage LIKE '%"id":"US"%';
```

## Data Quality and Validation

The repository includes tools for analyzing and validating data quality:

- **Duplicate Detection**: Scripts to identify duplicate UID's and ID's across all records
- **Schema Validation**: Validation against JSON schemas in `data/schemes/`
- **Data Quality Reports**: Analysis reports written to the `dataquality/` directory

To run data quality analysis:

```bash
python scripts/builder.py analyze-quality
```

Reports are written to `dataquality/` (e.g. `full_report.txt`, `primary_priority.jsonl`, and per-country/per-priority breakouts).

See [devdocs/quality-fix-workflow.md](devdocs/quality-fix-workflow.md) and `dataquality/full_report.txt` for current findings. Helper scripts (`scripts/fix_*_issues.py`) can apply automated fixes based on reported priorities.

## Agent and governance documentation

- [llms.txt](llms.txt) — concise index for LLM agents
- [DATASHEET.md](DATASHEET.md) — dataset characteristics, bias, and limitations
- [CITATION.cff](CITATION.cff) — academic citation metadata
- [SECURITY.md](SECURITY.md) — vulnerability reporting
- [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) — community standards

## Re3Data Enrichment

Catalogs with re3data identifiers can be automatically enriched with metadata from [re3data.org](https://www.re3data.org). The enrichment adds a `_re3data` field containing keywords, content types, contact information, persistent identifiers, software information, and more.

To enrich catalogs:

```bash
# Preview enrichment (dry run)
python scripts/re3data_enrichment.py enrich --dry-run

# Apply enrichment
python scripts/re3data_enrichment.py enrich
```

See [devdocs/re3data_enrichment.md](devdocs/re3data_enrichment.md) for detailed documentation.

## CKAN Ecosystem Synchronization

CKAN websites can be automatically discovered and synchronized from the official [CKAN ecosystem dataset](https://ecosystem.ckan.org/dataset/ckan-sites-metadata). The sync script fetches CKAN site metadata, checks for duplicates, and adds missing sites to the registry with enriched metadata.

To synchronize CKAN sites:

```bash
# Preview sync (dry run) - see what would be added
python scripts/sync_ckan_ecosystem.py --dry-run

# Sync and add to scheduled directory (default)
python scripts/sync_ckan_ecosystem.py

# Sync and add directly to entities directory
python scripts/sync_ckan_ecosystem.py --entities

# Customize delay between requests (seconds)
python scripts/sync_ckan_ecosystem.py --delay 2.0

# Disable web scraping enrichment
python scripts/sync_ckan_ecosystem.py --no-enrich
```

The script automatically:
- Fetches CKAN sites from ecosystem.ckan.org via CKAN API
- Detects duplicates by URL/domain matching
- Enriches metadata from both the dataset and web scraping
- Adds missing sites using existing registry infrastructure

See [devdocs/ckan_ecosystem_sync.md](devdocs/ckan_ecosystem_sync.md) for detailed documentation.

## How to contribute?

If you find any mistake or you have an additional data catalog to add, please generate [pull request](https://github.com/commondataio/dataportals-registry/pulls) or write an [issue](https://github.com/commondataio/dataportals-registry/issues).

## Data sources

Following data sources used:

* Stac Catalogs	https://stacindex.org/catalogs - done
* Dataverse Installations	https://iqss.github.io/dataverse-installations/data/data.json - done
* Open Data Inception	https://data.opendatasoft.com/explore/dataset/open-data-sources%40public/information/ - done
* CKAN Portals across the world	https://datashades.info/ - done
* CKAN Ecosystem Sites	https://ecosystem.ckan.org/dataset/ckan-sites-metadata - done (automated sync)
* Geonetwork Showcase	https://github.com/geonetwork/doc/blob/develop/source/annexes/gallery/gallery-urls.csv - done
* PxWeb examples	https://www.scb.se/en/services/statistical-programs-for-px-files/px-web/pxweb-examples/ - done
* DKAN Community	https://getdkan.org/community - done
* Junar Clients	https://junar.com/customers/ - done
* Datashades data portals list	https://datashades.info/api/portal/list - done
* OpenSDG installations	https://open-sdg.org/community - done
* MyCore Installations	https://www.mycore.de/site/applications/list/ - done
* Elsevier Pure installations - https://www.elsevier.com/solutions/pure/pure-in-action - done
* CoreTrustSeal Repositories https://amt.coretrustseal.org/certificates - done
* GeoOrchestra installations https://www.georchestra.org/community.html - done
* CKAN Ecosystem https://ecosystem.ckan.org
* EUDAT Repositories	https://b2find.eudat.eu/organization/
* Data.Europe.eu catalogues	https://data.europa.eu/data/catalogues?locale=en
* Re3Data	https://www.re3data.org/
* RISources	https://risources.dfg.de
* Spanish opendata initiatives https://datos.gob.es/en/accessible-initiatives
* INSPIRE Country catalogs	https://inspire-geoportal.ec.europa.eu/overview.html?view=thematicEuOverview&theme=none
* Socrata OpenDataNetwork	https://www.opendatanetwork.com/search?q= - done
* ArcGIS Hub search	https://hub.arcgis.com/ - done
* Brazilian Catalogs of geodata metadata https://inde.gov.br/Estatisticas/CatalogosMetadados
* Open Data Monitor (outdated, but useful) https://www.opendatamonitor.eu
* List of French open data catalogs https://airtable.com/shrWxHPi2XjLu9xtM/tblwklJPsyayeH5lX
* Brazilian local government (state and municipal) open data portals https://github.com/augusto-herrmann/transparencia-dados-abertos-brasil/blob/main/data/valid/brazilian-transparency-and-open-data-portals.csv
* Russian and CIS countries data catalogs https://datacatalogs.ru
* EntryScape customers (Sweden) https://entryscape.com/en/customers/ - done
* Geolode, catalog of open geodata websites https://geolode.org
* WebCommons Dataset subset http://webdatacommons.org/structureddata/2022-12/stats/schema_org_subsets.html
* Major Smart Cities with Open Data (updated 2019) https://rlist.io/l/major-smart-cities-with-open-data-portals
* Registry of Open Access Repositories http://roar.eprints.org
* IPT: Integrated Publishing Toolkit installations - https://www.gbif.org/ipt
* Geoblacklight showcase - https://geoblacklight.org/showcase/ - done

## License

Source code licensed under MIT license
Data licensed under CC-BY 4.0 license

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