Open Data Map

Open Data Map

Location-based open data from organizations and you

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ODM makes it easy and fast for organizations and councils to publish and keep existing location-based datasets updated in an highly searchable and visual format. Everyone can also add locations under the CC0 licence making it available for everyone as well.
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
Open Data Map gallery image
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Dominik Gyecsek
Hi, ProductHunt community! There are many location-based datasets from all around the world posted by different councils and organizations, however these are many times not really accessible. The Open Data Map supports CSV, XML, XLSX, JSON, GeoJSON, KML, KMZ and Shape files (this is only available for organizations for now) which are updated on the ODM periodically to reflect changes. Among other things organizations can set up rule-based (e.g. add "baby changing" feature to location if facilities field contains "baby changing") categories, features, marker, path and polygon styles and map different fields (e.g. website, phone number) to parse dataset with thousands of locations so users can easily search in these by city, country, category, features or basically by all other dataset specific fields using the website, application or the public API. Users can interact with the posted datasets and locations by liking, commenting, rating, sharing and reporting, they can request new datasets from registered organizations and even add new locations under the CC0 licence which then would be available for all users. At the moment there are 22 datasets posted (all in the United Kingdom) for demonstration purposes and I will be open sourcing the whole project in 1-2 weeks. If you are an organization or a council or you are just interested in open data you can review this video that details on how datasets can be parsed from external sources (I cannot make this available to everyone due to limited geocoding resources): https://www.dropbox.com/s/33109k...