This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data.
Hub Ocean - as the name suggests is a hub for ocean data
Now we have talked about these kinds of data hubs before on the podcast - Sentinal Hub - a data hub for earth observation data, Microsoft Planetary Computer, Google Earth Engine, Open Topography is data but for topography data …. The concept is not new but also not easy to implement and if they work, these types of data hubs have a gravity to them that becomes more powerful over time.
One of the guiding concepts behind these data hubs seems to be the idea of FAIR data - Findable, Accessible, Interoperable, and Reuseable data
…. But its not enough to ensure that the data is fair I think we should also consider how we can make the results of our research Findable, Accessible, Interoperable, and Reuseable data
If you are not already familiar with Cloud Optimised Geospatial formats it is worth checking out these two episodes.
https://mapscaping.com/podcast/cloud-optimized-point-clouds/
https://mapscaping.com/podcast/cloud-native-geospatial/
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Google Maps, Geomatics, Cartography
Location Intelligence, Mapping
