Objectives
By leveraging a unique combination of demonstration mission data and spatio-temporal modelling/scaling, our multifaceted approach is designed to achieve the following key objectives:
Unlocking Sleeping Data:
Developing cutting-edge tools and methodologies to access and process relevant data from various sources.
Boosting Data Harmonization:
Promoting standardization and best practices among researchers and data generators to establish a cohesive data ecosystem.
Creating Virtual Ecological Monitoring:
Integrating robotic monitoring networks with virtual infrastructure to set standards for future Distributed Twin Observatories in ocean areas.
Activating Demo-Missions:
Demonstrating the effectiveness of combining robotic monitoring data with spatio-temporal modelling at multiple locations.
Standardizing Data Collection:
Setting cost-effective standards for easy deployment and real-time control of data collection in marine areas.
Expanding Data Capacity:
Increasing acquisition, storage, and processing capabilities for high-frequency biological and environmental data.
Ensuring Data Security:
Prioritizing methodologies for secure, sustained, and reliable data flows.
Capitalizing on Economies of Scale:
Conducting pilot sea-basin scale monitoring tests using existing and new data collected through field test demonstrations.
Open-Sourcing Access:
Making data, tools, methodologies, and implementations accessible through open-source procedures.
Advising Through Tools:
Developing tools to support assessment and extract scientific and management information from multidisciplinary data.