FAIR Data Principles 1: Foundational components, best practices and standards

Résumé

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

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,

Webinar 1 will explore the challenges and solutions in applying the FAIR foundational components on the journey from FAIR Principles to FAIR Practices to achieve FAIRification. It will look at the standards and practices supporting interoperability and efficiency which focus on the findability and accessibility of data/metadata. Standards and best practices play a crucial role in implementing the FAIR Principles by providing a consistent framework and guidelines to achieve FAIRness targets. Approaches will vary, depending on the data lake, data space or repository structure and capabilities.

Register now at https://blue-cloud.org/form/fair-data-webinar-1-registration