Lead: CREAF 

The main objectives of WP2 are the following:

• Identify actors, datasets and workflows from in situ networks, socioeconomic and CitSci data.
• Define how to achieve semantic interoperability in FAIR in situ observations.
• Provide the necessary and standard tools for in situ FAIR data

Lead: IoT Lab

Work Package 3 will realise the following objectives:

• • To define the technical specification for heterogenous IoT data integration.
  • To provide tools to parse heterogenous IoT data based on the specification.
  • To define and adjust scalability in function of the needs at the edge.

Lead: ECMWF

Work Package 4 pursues to:

• Enable technical integration new sources of data, particularly IoT and socio-economic data to key existing Earth Observation and Earth-Observation-based data platforms, in interaction with WPs 1, 2 and 3.
• Develop a sandbox environment for testing applications and workflows effectively combining EO or EO-based data with socio-economic and IoT data.
• Support relevant aspects of activities in WPs 5 and 6.
• Evaluate performance aspects especially regarding time-critical applications and applications involving high volumes of data and identify bottleneck areas.

Lead: ATOS-IT

Work package 5, as main objective, has the usage of data analytics and AI methods for several purposes, including to:

• Support the fusion of heterogeneous data coming from diverse sources like IoT devices, statistical information, satellite images or community observations, addressing quality problems and uncertainty.
• Research about the latest advancement in Machine Learning to extract knowledge from massive amounts of data.
• Develop new services powered by Data and AI that improve the capabilities of policymakers and stakeholders in the decision-making process.
• Exploit the capabilities of the computing continuum: IoT devices, edge resources, cloud servers and HPC infrastructures.

Lead: Aston University

WP6 aims to demonstrate the applicability and benefits of the AD4GD data fusion and standardization approach and will specifically:

• Facilitate establishment of cross-disciplinary communities of practice whose data, models and domain-specific terminology are registered in the AD4GD definition server.
• Develop pilot application prototypes deploying the OpenAPI specifications and semantic models.
• Apply AI tools and deep learning to domain-specific data (water pollution, biodiversity, air pollution etc.) to unleash the power of data for better-informed decision making
• Assess the benefit of the common GD data space brought by AD4GD to relevant stakeholders and end-users

Lead: Mandat International

This work package focuses on the impact and outreach of the project, including:

• Successfully implementing the established communication and dissemination plan to guarantee international impact of the project achievements, including:
  • Creating and regularly updating project communication channels and dissemination materials;
  • Publishing the project results in journals, conferences, and book chapters;
  • Designing visual identity, including logos, presentation templates, flyers and rollups.
• Developing a standardization plan and submitting contributions to Standards Development Organizations, as relevant
• Ensuring the exploitation and sustainability of the project results.
• Engaging in global initiatives and collaborate with the sister projects.

Lead: CREAF

The aim of this WP is to create and maintain the conditions to ensure the effective and timely implementation of project goals. It facilitates clear and effective flow of information between consortium members and assure the efficient implementation of project activities with involvement of all partners. Its three main objectives include:

• Ensuring the quality and punctuality of scientific outputs
• Monitoring progress of the planned activities and anticipate as much as possible potential shortfalls and address any problems
• Organizing regular meetings of the Management Board and ensure timely interactions with the EU and the project Advisory Board. It does so by managing the project at 3 levels: strategic/operational, administrative and risk management. The entities involve are: The Project Coordinator, the Management Board (WP leaders) and General Assembly (Project PIs), and the Advisory Board.

Lead: CREAF

This work package sets out the ‘ethics requirements’ that the project must comply with.