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Other literature type . 2024
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Mirror mirror on the wall, how do I make the FAIRest metadata of them all?

Authors: Pearman-Kanza, Samantha;

Mirror mirror on the wall, how do I make the FAIRest metadata of them all?

Abstract

Presentation by Dr Samantha Pearman-Kanza for the PSDI Project at Future Labs Live Basel. Abstract: FAIR Data should have relevant metadata, instructions, and information that enables others to re-use, replicate, reproduce and repurpose as appropriate. However, this is nowhere near as simple as it sounds. What are the optimum schemas to use? How do we identify the domain level metadata that is required? What of this metadata can be extracted easily and automatically, and what requires a much higher level of intelligence? Join me to venture down the rabbit hole of metadata identification and extraction in an endless quest to make the FAIRest metadata in the land. 

Related Organizations
Keywords

FAIR data, data, metadata, research data management, data management, Data science

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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
Green