Webinar: CDIF4EOSC and CDIF v1.1
When: July 2, 2026, 15:00–17:00 CEST
Where: online
On Thursday, July 2, 2026, from 15:00 to 17:00 CEST, a public online webinar will introduce the new CDIF4EOSC project (CDIF4EOSC: Developing and Implementing the Cross-Domain Interoperability Framework for EOSC) and the latest version of CDIF (Cross-Domain Interoperability Framework), v1.1. The event is open to the wider community interested in research data management, open science, and research infrastructures.
The webinar will present the CDIF4EOSC project and its objectives, explain the concept of CDIF and its role in the implementation of the FAIR principles, and provide an introduction to CDIF v1.1. It will also cover the origins of CDIF, the challenges it seeks to address, what its recommendations include, and what it is not intended to do – namely, replace existing community standards, but rather complement them in cross-domain scenarios.
The webinar will also discuss links with EOSC (European Open Science Cloud) and other international and national research infrastructure initiatives, as well as opportunities to contribute to the further development of CDIF and provide feedback on version 1.1. The event is conceived as the first in a planned series of activities aimed at introducing CDIF to a broader community and supporting its practical adoption within the open science ecosystem.
More information and registration are available here.
The CDIF4EOSC project was launched on June 1, 2026, and is coordinated by CODATA together with 21 partner organisations. Shortly after the project’s launch, CDIF v1.1 was published. Building on the outcomes of the WorldFAIR and WorldFAIR+ initiatives, it will serve as the foundation for further work within the project.
CDIF was developed in response to the long-standing need to facilitate the implementation of the FAIR principles in situations where data are used across disciplinary and research infrastructure boundaries. While the FAIR principles define general requirements for data and metadata, they do not prescribe specific standards or implementation approaches. As a result, different domains have adopted different standards, which can create interoperability challenges when data are shared and reused across disciplines.
CDIF seeks to address this challenge by providing recommendations based on existing, domain-neutral standards and practices. Its aim is not to replace disciplinary standards, but to establish a common foundation that enables communication and interoperability between them. In cross-domain scenarios, this reduces the need for complex many-to-many mappings and replaces them with an approach based on a shared reference framework.
CDIF v1.1 defines a set of profiles that cover key functions required for FAIR implementation, including data description for discovery and cataloguing, data structure and integration, controlled vocabularies, and access rights. These profiles are designed to support both human- and machine-actionable use of data while remaining implementable using existing standards and technologies.
CDIF therefore provides a framework for supporting interoperable implementation of the FAIR principles across disciplines and research infrastructures. Building on this foundation, CDIF4EOSC will further develop the framework through the expansion of recommendations, the development of additional profiles, and the preparation of practical implementation outputs within the EOSC context.
Last updated on June 24, 2026
