Highlight

FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards

A web-based tool for assessing the FAIRness of metadata in digital resources.

Based on

FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards

By Alban Gaignard, Thomas Rosnet, Frédéric de Lamotte, Vincent Lefort, Marie‐Dominique DevignesJournal of Biomedical Semantics
Read original article →

FAIR-Checker is a tool that evaluates the FAIRness of metadata in digital resources using Semantic Web standards and technologies.,It offers two main facets: a 'Check' module for thorough metadata evaluation and recommendations, and an 'Inspect' module for improving metadata quality.,The tool was evaluated on over 25 thousand bioinformatics software descriptions.

Abstract

FAIR-Checker is a tool that evaluates the FAIRness of metadata in digital resources using Semantic Web standards and technologies.,It offers two main facets: a 'Check' module for thorough metadata evaluation and recommendations, and an 'Inspect' module for improving metadata quality.,The tool was evaluated on over 25 thousand bioinformatics software descriptions.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

metadata assessmentfairness evaluationsemantic web standardsdigital resourcesmetadata quality improvementKnowledge GraphsSemantic InteroperabilitySchemas & ShapesContent Engineering
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources