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InteractiveResource . 2025
License: CC BY
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InteractiveResource . 2025
License: CC BY
Data sources: Datacite
ZENODO
InteractiveResource . 2025
License: CC BY
Data sources: Datacite
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FEGA Metadata Technical Deep Dive

Authors: Casado Barbero, Marcos;

FEGA Metadata Technical Deep Dive

Abstract

This technical deep-dive workshop introduces participants to the Federated European Genome-Phenome Archive (FEGA) metadata model, focusing on hands-on exercises in metadata validation and JSON-LD transformations. Attendees learn how to set up and use Biovalidator to ensure the structural and semantic correctness of metadata, explore the design of FEGA’s JSON Schemas, and practice transforming JSON-LD into different formats. These sessions are intended for bioinformaticians, curators, and developers who want to improve metadata quality and interoperability in genomic data sharing.

Keywords

FEGA, GitHub, Metadata, EGA, Metadata/standards, FAIR principles, JSON, Metadata validation, JSON Schemas, Federated EGA, linked data, JSON-LD, Biovalidator

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    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.
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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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Found an issue? Give us feedback
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