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InteractiveResource . 2023
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InteractiveResource . 2023
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FAIR Data Principles 1: Foundational components, best practices and standards. Blue-Cloud Training Academy, Webinar #1

Authors: SIMONCELLI, Simona; GARELLO, René; GIORGETTI, Alessandra; Pittonet Gaiarin, Sara; Kokkinaki, Alexandra; Rettberg, Najla; Thijsse, Peter;

FAIR Data Principles 1: Foundational components, best practices and standards. Blue-Cloud Training Academy, Webinar #1

Abstract

This webinar is the first in a series of three Blue-Cloud 2026 Training Academy webinars on FAIR Data Principles, to be held from September 2023 to March 2024. The FAIR Guiding Principles for scientific data management and stewardship were first published in Scientific Data, [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 explored the challenges and solutions in applying the FAIR foundational components on the journey from FAIR Principles to FAIR Practices to achieve FAIRification in the marine data community. It looked 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 varied, depending on the data lake, data space or repository structure and capabilities.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average