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) will lead the Future Data Ecosystems work package that will seek to understand how this data should be managed and the opportunities that it brings to deliver new efficiencies in the collection of data. They will: examine trends across the whole data lifecycle, explore how data could be used to enable more intelligence operation of oceanographic platforms, seek to understand how the overlap in scientific and commercial interest could enhance the efficiency of data gathering and mitigate against obsolescence, and consider cybersecurity risks. Engaging with the WP leads will provide the opportunity to shape how oceanographic data is used in the future for scientific research and commercial impact.

 

 

Work Package Leads

Dr. John Siddorn
Work Package Lead
Met Office

Alvaro Lorenzo
Work Package Deputy
NOC (NMF)

 

 

 

 

 

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