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FAIR Data Principles 3: Applying FAIR Principles across the (ocean) data management value chain. Webinar

Join us on November 27, 2024, from 15:00 to 16:30 CET for the third of the series of webinars on applying FAIR principles in ocean data management.
Published in Social Sciences, Earth & Environment, and Computational Sciences
Go to the profile of Sara Pittonet Gaiarin
Sara Pittonet Gaiarin
Senior Manager, Trust-IT Services
FAIR Data Principles 3: Applying FAIR Principles across the (ocean) data management value chain. Webinar
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Webinar FAIR Data Principles 3 | Applying FAIR Principles across the (ocean) data management value chain | Blue-Cloud 2026

Explore the challenges and solutions in applying the FAIR foundational components on the journey from FAIR Data Principles to FAIR Practices in marine data.

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.  The webinar will feature presentations from the British National Oceanography Centre, the European infrastructure for the Argo programme Euro-ARGO, Oceano Vox community-driven intelligence platform on ocean data acquisition, and EMODnet biology.

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.

Learn more and register

Go to the profile of Sara Pittonet Gaiarin
Sara Pittonet Gaiarin
Senior Manager, Trust-IT Services

I am a Senior Manager and shareholder at Trust-IT Services with over 10 years of experience in the implementation of complex digital outreach and marketing strategies, particularly in the context of European Open Science initiatives. 
I currently coordinate 2 high-profile Blue-Economy-related Horizon Europe projects: Blue-Cloud 2026 which is building a European federated platform for marine research; and VeriFish which supports the creation of an indicator framework to communicate sustainable fishery. I am also the outreach manager of the FAIR-IMPACT initiative. 
By combining project management skills with a professional journalist background, I coordinate communication and marketing plans as well as the design of web-based solutions in domains ranging from Data Infrastructures to the Blue Economy, from Healthcare to Earth Observation Technologies.
 

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Follow the Topic

Data Science
Humanities and Social Sciences > Society > Science and Technology Studies > Information and Communication Technologies (ICT) > Data Science
Ocean Sciences
Physical Sciences > Earth and Environmental Sciences > Earth Sciences > Ocean Sciences
Marine and Freshwater Sciences
Physical Sciences > Earth and Environmental Sciences > Environmental Sciences > Water > Marine and Freshwater Sciences
Data Science
Mathematics and Computing > Computer Science > Artificial Intelligence > Data Science

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