WP6 Future Data Ecosystems

WP6 Future Data Ecosystems

Advances in technology will generate increasing volumes of data. Dr. John Siddorn (NOC) and Alvaro Lorenzo-Lopez (NOC) are leading the Future Data Ecosystems work package that seeks to understand how this data should be managed and the opportunities that it brings to deliver new efficiencies in the collection of data. They are: examining trends across the whole data lifecycle, exploring how data could be used to enable more intelligence operation of oceanographic platforms, seeking to understand how the overlap in scientific and commercial interest could enhance the efficiency of data gathering and mitigate against obsolescence, and considering cybersecurity risks.



On 22/04/2021 the WP leads delivered the fifth in our series of NZOC workshops, Future Research Platforms as Data Hubs in a Connected World, where there was the opportunity to discuss all aspects of this WP. The keynote presentations are now available on the Workshop Materials page.


Work Package Leads

Dr. John Siddorn
Work Package Lead
Met Office

Alvaro Lorenzo
Work Package Deputy






The objectives for this WP are to: 

  1. Identify the trend in data ecosystems from collection through to processing, drawing requirements from the identified Future Science Needs (WP1) and identify how these could lower the carbon footprint for the future infrastructure. 
  2. Explore the use of predictive methods to optimise the deployment of research infrastructure, taking into consideration the integration of sensors and MAS in coordination with WP4 and WP5. 
  3. Explore the concept of Intelligent Vessels, and of Artificial Intelligence / Machine Learning and automation more generally, and its role in the data ecosystem. 
  4. Assess the expected academic/commercial interest in the low carbon infrastructure data ecosystem and explore how this could be used to mitigate against obsolescence with a focus on a carbon and financial efficiency. 
  5. Explore cyber security considerations. 
  6. A data ecosystem encompasses the cyberinfrastructure, documentation, and methodologies needed to build the end to end delivery