Active Computing & AI Education & Skills
Developing and implementing the Cross-Domain Interoperability Framework for EOSC
Summary
Original abstract (not yet simplified)The distinct approach of the CDIF4EOSC project is to build on the Cross-Domain Interoperability Framework (CDIF). The project will extend the CDIF recommendations, adding profiles and guidelines, and use case based examples, to form a comprehensive and actionable playbook for FAIR Integration in EOSC and beyond. The CDIF4EOSC project will advance FAIR integration beyond the state-of-the-art in three specific ways:...
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The distinct approach of the CDIF4EOSC project is to build on the Cross-Domain Interoperability Framework (CDIF). The project will extend the CDIF recommendations, adding profiles and guidelines, and use case based examples, to form a comprehensive and actionable playbook for FAIR Integration in EOSC and beyond. The CDIF4EOSC project will advance FAIR integration beyond the state-of-the-art in three specific ways: - Taking FAIR integration beyond the initial FAIR principles, by incorporating a number of key concepts, including those relating to data quality, the management of sensitive data, trust and data governance; - At the metadata and data interoperability level by demonstrating how digital research outputs, particularly data, can be made FAIR-by-design (as FAIR digital objects) and integrated to benefit specific research objectives; and, - At the systemic level to demonstrate how to integrate FAIR enabling practices, tools and services within EOSC and among EOSC and the Common European Data Spaces.Going beyond the original FAIR principles, CDIF4EOSC will develop a FAIR-by-design approach for creating FAIR digital objects. The overarching objective of the project is to enable FAIR integration by developing the CDIFEOSC Playbook and situating this at the heart of EOSC practices, and fully integrated in the EOSC Federation. The project will work closely with three Use Cases, develop a suite of AI-assisted FAIRification tools and services and ensure integration with the EOSC Federation, EOSC Nodes and the Common European Data Spaces.The suite of AI-assisted FAIRification tools and services will accelerate FAIRification at scale and have significant benefits for EOSC and the European Research Area. To maximise impact, targeted steps will be taken to implement the project outputs in EOSC Federation Nodes and Common European Data Spaces.
Original classification
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