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To go beyond this state-of-the-art, the overall objective of FAIR-EASE is to customize and operate distributed and integrated services for observation and modelling of the Earth system, environment and biodiversity by improving the TRL of their different components implemented in close cooperation with user-communities, the European Open Science Cloud and research infrastructures in their design and sustainable availability. &nbsp;<br><br>The project will: (1) Improve a FAIR-EASE data discovery and data access service, relying on pre-operational existing services, in order to provide users with an easy and FAIR tool for discovery and access to environmental multidisciplinary and aggregated data-sets as managed and provided by a range of European data infrastructures; (2) Set up a FAIR-EASE Earth Analytical Lab, with EOSC connectivity supporting, through web-based interfaces, predefined processing tools and on-demand data visualization services for remote analysis and processing of heterogeneous data facilitating the cross-disciplinary collaboration, reducing the time to results and increasing productivity; and (3) Develop a number of multidisciplinary Use Cases (UCs) to contribute requirements for the FAIR-EASE system components and to validate and demonstrate the capabilities of the FAIR-EASE service for supporting open science.</p>","AbstractOtherLang":"<p>Aard- en milieuwetenschappen vereisen een groot panel en een grote hoeveelheid gegevens van satellieten, in-situ observaties, modellen, omics experimenten... Aardsysteemdomeinen zijn met elkaar verbonden en zelfs als interfaces tussen domeinen van primair belang lijken voor verschillende onderzoeken met grote maatschappelijke gevolgen, zoals klimaatverandering, landbouw en voedsel, menselijke veiligheid en gezondheid, is de huidige digitale architectuur in wezen gebaseerd op gedistribueerde en domeinafhankelijke gegevensopslagplaatsen die echte problemen opleveren voor geïntegreerd gebruik van alle milieugegevens. Om verder te gaan dan deze state-of-the-art, is de algemene doelstelling van FAIR-EASE het aanpassen en exploiteren van gedistribueerde en geïntegreerde diensten voor observatie en modellering van het aardsysteem, het milieu en de biodiversiteit door de TRL van hun verschillende componenten te verbeteren die zijn geïmplementeerd in nauwe samenwerking met gebruikersgemeenschappen, de Europese Open Science Cloud en onderzoeksinfrastructuren bij hun ontwerp en duurzame beschikbaarheid. &nbsp;<br>&nbsp;<br>Het project zal: (1) een FAIR-EASE-dienst voor gegevensontdekking en gegevenstoegang verbeteren, steunend op pre-operationele bestaande diensten, om gebruikers een gemakkelijke en EERLIJKE tool te bieden voor ontdekking van en toegang tot multidisciplinaire en geaggregeerde milieugegevenssets zoals beheerd en geleverd door een reeks Europese data-infrastructuren; (2) Opzetten van een FAIR-EASE Earth Analytical Lab, met ondersteuning voor EOSC-connectiviteit, via webgebaseerde interfaces, vooraf gedefinieerde verwerkingstools en on-demand datavisualisatiediensten voor analyse en verwerking op afstand van heterogene data die de interdisciplinaire samenwerking vergemakkelijken, verminderen de tijd tot resultaten en toenemende productiviteit; en (3) Een aantal multidisciplinaire Use Cases (UC's) ontwikkelen om vereisten voor de FAIR-EASE-systeemcomponenten aan te dragen en om de mogelijkheden van de FAIR-EASE-service voor het ondersteunen van open wetenschap te valideren en te demonstreren.&nbsp;</p>","DateLastModified":{"date":"2026-04-17 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