Descrizione del progetto
Piattaforma aperta per supportare lo scambio di dati FAIR
I principi dei dati FAIR affermano che i dati devono essere reperibili, accessibili, interoperabili e riutilizzabili. Considerando i volumi e la complessità sempre crescenti dei dati, questi orientamenti sono più che mai attuali. Il progetto AD4GD, finanziato dall’UE, si propone di sfruttare al massimo i dati FAIR negli sforzi per preservare la biodiversità, promuovere l’economia circolare e contrastare i cambiamenti climatici. Il progetto creerà un hub aperto che offre un accesso multiscala a dati e servizi a sostegno di queste priorità chiave. La piattaforma consentirà di combinare dati provenienti da telerilevamento, ambienti di ricerca virtuali e Internet delle cose, tra le altre fonti, in modo scalabile e affidabile, e di rendere i dati accessibili alle organizzazioni europee di servizi scientifici, alle parti interessate delle comunità e ai cittadini scienziati. L’approccio sarà testato in tre progetti pilota prima di essere esteso su larga scala.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-IA - HORIZON Innovation ActionsCoordinatore
08193 Bellaterra
Spagna