Glossary
Dataset
Main unit on ODP. May include files, an optional table of structured data, metadata, access settings, and publication status.
Data collection
Publisher-owned container that groups related datasets. Useful for organising a body of work, while datasets remain the primary unit for storage, access, and use.
Catalog
Where publicly-accessible published data is discovered and understood through metadata, search, filtering, previews, and dataset pages.
My Data
Where you create datasets, upload files, add metadata, manage sharing, publish or find data shared with you.
Web app
The main user interface for ODP, combining Catalog (discovery) and My Data (management) in one place.
Files and tables
Datasets can contain any number of files (any type) and optionally a structured tabular table. Tables unlock richer features such as filtering, profiling, geospatial behaviour, SDK access, GIS access, and vector tiles.
Access and publication
Datasets can be private, shared with named collaborators, shared by open unlisted link, or published. Publication changes discoverability in the Catalog, but does not change the underlying data services.
API
The programmatic interfaces that expose ODP metadata and data services to other software.
SDK (Python / R)
Client libraries that simplify authentication and programmatic workflows on ODP (for example querying tables, working with files, and automating ingestion).
STAC API
A standards-based metadata catalog interface, primarily for interoperable discovery and search. This provides and interoperable access to public catalog metadata.
JSON-LD landing pages
Structured web metadata embedded on dataset pages to support off-platform discovery (for example search engines and external integrations).
OGC API — Features
A geospatial interface for accessing live feature data in GIS clients and other tools.
Vector tiles
Fast map rendering interface for large-scale geospatial visualisation.
GIS
Geographic Information System tools (for example QGIS or ArcGIS) used to view and analyse geospatial data.
Data profiling
System-generated statistics for tabular datasets (for example row counts by top values, value ranges, geometry extent, and histograms) to make data easier to understand quickly.
Explore table view
Interactive table exploration in the web app: preview rows, inspect profiling outputs, filter, and export subsets.
Explore map view
Interactive map exploration in the web app: explore and visualise geospatial tabular data.