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Research . 2022
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Research . 2022
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FAIR Ecosystem Components

Authors: Hervé L'Hours; Ilona von Stein; Darren Bell;

FAIR Ecosystem Components

Abstract

This iterative working paper presents a set of high-level interactive components necessary for a functioning FAIR ecosystem. Operational repositories, and other (meta)data related services are supported by common reference information managed in registries, and by evaluation processes consisting of standards and assessment methods. Findable, Accessible, Interoperable and Reusable digital objects (data and metadata) are a necessary input to, and output from, ecosystems that integrate (one provider serves many) or federate (many providers interoperate) services. Users of all kinds must be empowered to find and access (meta)data that supports interoperability and reuse. All ecosystem actors depend on machine and human-mediated evaluation of digital objects’ FAIRness.

Related Organizations
Keywords

FAIR, Repository, Trustworthy Digital Repository, TDR, EOSC, CoreTrustSeal, Certification,

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Top 10%
Average
38
31
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