Descripción del proyecto
Una plataforma abierta para respaldar el intercambio de datos FAIR
Los principios de datos FAIR establecen que los datos deben ser localizables, accesibles, interoperables y reutilizables. Teniendo en cuenta el volumen y la complejidad cada vez mayores de los datos, estas directrices son más pertinentes que nunca. El objetivo del proyecto AD4GD, financiado con fondos europeos, es maximizar el papel de los datos FAIR en los esfuerzos para preservar la biodiversidad, promover la economía circular y combatir el cambio climático. Para ello, se creará una plataforma abierta que ofrezca acceso multiescala a datos y servicios que respalden esas prioridades clave. La plataforma permitirá combinar datos de teledetección, entornos virtuales de investigación e internet de las cosas, entre otras fuentes, de manera escalable y fiable, y hará que los datos sean accesibles para las organizaciones de servicios científicos europeos, las partes interesadas de la comunidad y los aficionados a la ciencia. El método se probará en tres proyectos piloto antes de su ampliación.
Objetivo
AD4GD’s overall objective is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of biodiversity, climate change, and pollution. The focus will be on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing. This project will enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This will facilitate integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework (e.g. the GCOS Essential Climate Variables, the GEOBON Essential Biodiversity Variables), as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales. The project will make data and services accessible to the EC Knowledge Centres, GEOSS portal, EOSC and other science services as applicable, ensuring the sustainability of the results, and will actively promote data accessibility for community stakeholders and citizen scientists. AD4GD will demonstrate and validate the approach in three pilots whose stakeholders include international organizations, scientists and researchers, citizens, decision makers (e.g. public authorities), and Earth observation (EO) solution developers. The pilots address selected Green Deal priority areas, including cross-domain components: Zero pollution, Biodiversity, and Climate Change.
Ámbito científico
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencesbiological sciencesecologyecosystems
- social sciencespolitical sciencespolitical policiescivil society
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- social scienceseconomics and businesseconomicssustainable economy
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL6-2021-GOVERNANCE-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-IA - HORIZON Innovation ActionsCoordinador
08193 Bellaterra
España