This webinar is the third in a series of three Blue-Cloud 2026 Training Academy webinars on FAIR* Data Principles.

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Following on from our Blue-Cloud 2026 FAIR Data Principles 1 (Sep 2023) and 2  (Apr 2024) webinars, the upcoming third webinar is dedicated to exploring the practical application of FAIR Principles throughout the entire data value chain. This comprehensive focus will encompass every stage, from the collection of data and transmission (e.g sensors) through its processing, curation, and application in various products and services. The session will feature real-world use case experiences, showcasing how these principles are effectively implemented across different stages to enhance data utility and integrity.

The webinar aims to broaden the understanding of FAIR Principles beyond their traditional association with research and academic environments. It will highlight their relevance and growing significance in industry and other sectors, demonstrating how adopting these principles can drive innovation, efficiency and collaboration across different domains.   Participants will gain insights into how best practices can be leveraged to optimize data management processes and facilitate interoperability between systems.

By presenting a range of sector-specific examples and use cases, the webinar will illustrate the tangible benefits of implementing FAIR Principles in real-word scenarios. This includes not only improving the accessibility of data but also ensuring its long-term usability, interoperability and compatibility with various technologies and standards. It offers perspectives on how to effectively integrate FAIR Principles into data management strategies to maximize the value and potential  of data in various contexts.

Who should attend

Open science projects in Europe and beyond, Research teams in Research Infrastructures, Ocean Data community, Industry sector, amongst others.

Agenda (available soon)

Wednesday 27 November 2024; 15.00 CET

Chair: Sara Pittonet Gaiarin, Trust-IT Services and Blue-Cloud Coordinator

*About FAIR

The FAIR Guiding Principles for scientific data management and stewardship were first published in Scientific Data, 3:160018 [Wilkinson et al (2016)]. The principles apply to both data and metadata and are: Findable, Accessible, Interoperable, Reusable. They put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. In pursuit of FAIR, there is a need for increased efforts in optimisation, standardisation, best practices and harmonisation across methodologies for ocean data management, applications and digital assets

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