Work Packages
The GeoSciences IR project is structured into 8 Work Packages (WPs).
WP1 is responsible for coordination and management, while thematic WPs 2, 3, 4, and 5 are dedicated to data and the development of tools and services; WP6 is tasked with data standardization and harmonization activities, and WPs 7 and 8 focus on designing, implementing, and validating the research infrastructure.
01 – Coordination & Management
WP1 coordinates and manages the GeoSciences IR project, ensuring that activities adhere to established timelines and budgets.
02 – Geological and geothematic mapping and modeling
The activities of WP2 aim to make geological and geothematic data of soil, subsoil, and marine areas findable, accessible, interoperable, and reusable.
03 – Landslides and sinkholes
Applied research, new monitoring technologies, data production, and services in the field of landslides and sinkholes, along with the transfer of technical-scientific knowledge to the Regional Geological Surveys, constitute the activities of WP3.
04 – Risk monitoring and management
WP4 is dedicated to risk monitoring and management in relation to three aspects: hydrogeological risk mitigation, satellite and in situ monitoring, active and capable faults.
05 – Georesources and land monitoring
WP5 is dedicated to the creation of informational systems for disseminating knowledge useful for the sustainable management of land and geological resources, particularly critical and strategic raw materials.
06 – Open Data
WP6 aims to create and share datasets conforming to the FAIR principles (Findable, Accessible, Interoperable, Reusable) within the Research Infrastructure, as well as to disseminate data processing and procedures for the technical and scientific update of users.
07 – CRI design and implementation
WP7 aims to design and create the GeoSciences cloud research infrastructure based on essential requirements provided by users for data and service utilization.
08 – CRI validation
WP8 is responsible for testing and verifying that the various components and software of the research infrastructure meet user requirements and adhere to the FAIR principles of data management.
