Toward Enhanced Reusability: A Comparative Analysis of Metadata for Machine Learning Objects and Their Characteristics in Generalist and Specialist Repositories

Objective: The rapidly increasing prevalence and application of machine learning (ML) across disciplines creates a pressing need to establish guidance for data curation professionals. However, we must first understand the characteristics of ML-related objects shared in generalist and specialist repo...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Abigail Pennington, Ho Jung S Yoo, Michael Baluja, Stephanie G Labou
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	UMass Chan Medical School, Lamar Soutter Library 2024-06-01
Sarja:	Journal of eScience Librarianship
Aiheet:	FAIR machine learning data repository reusability interoperability findability
Linkit:	https://publishing.escholarship.umassmed.edu/jeslib/article/id/685/
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