OpenStreetMap Global Crowdsourced Map Data

Weekly updated global map data contributed by a worldwide community. The OpenStreetMap (OSM) collection includes features such as roads, trails, cafés, and railway stations. Data is made available by the Connecting Health Outcomes Research and Data Systems (CHORDS) organization.

Use Cases

• Train geospatial machine learning models for road network analysis based on the described road and trail data.
• Develop location-based services and routing algorithms based on the described points of interest like cafés and railway stations.
• Conduct urban planning and infrastructure studies based on the described global map information.

Strengths

• Data is updated weekly, suggesting a commitment to freshness.
• Global coverage is explicitly stated in the description.
• Includes a variety of map features such as roads, trails, and points of interest.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

OpenStreetMap community, aggregated by Connecting Health Outcomes Research and Data Systems (CHORDS).

Collection Method

Crowdsourced (volunteered) contributions.

Freshness

Updated weekly.

Geography

Global