The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

Hub Ocean

Aug 3, 2023

An interview with a senior data scientist from Hub Ocean, a platform for unlocking and uniting ocean data. They discuss the challenges of implementing data hubs and the concept of fair data. The importance of ocean data, app development for data analysis, and the availability and accessibility of ocean data are also explored. The podcast highlights the need for data sharing and collaboration in the ocean data space.

38:53

Creator website

Episode guests

senior data scientist

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

HubOcean is a data hub for ocean data that aims to unlock and unite relevant ocean data sources to create a comprehensive digital ecosystem of the ocean.

HubOcean promotes data sharing and reproducible research to create a cultural shift where data sharing becomes the norm, benefiting the scientific community, industries, and policymakers.

Deep dives

Overview of HubOcean and the Concept of Data Hubs

HubOcean is a data hub for ocean data that aims to unlock and unite relevant ocean data sources to create a comprehensive digital ecosystem of the ocean. The concept of data hubs is not new, but implementing them can be challenging. The goal is to make data findable, accessible, interoperable, and reusable (FAIR), both in terms of the data itself and the results of research. The mission of HubOcean is to heal and protect the ocean, and to shift the way industries use ocean resources.

Introduction

2min

Unlocking and Uniting Ocean Data

13min

Exploring App Development in Ocean Data Analysis

4min

Unlocking Ocean Data: Availability, Accessibility, and Challenges

14min

Sharing Data and the Movement Towards Reproducible Research

3min

Exploring Code Contribution and Ocean Data Collaboration

3min

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