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Tag: Information Quality
Information Quality Matters for FAIR Data
A new Earth science data stewardship paper is out, led by our Information Quality and Semantic Harmonization Clusters, E2SIP, other ESIP volunteers, and several ESIP partners. Check out “Harmonizing quality measures of FAIRness assessment towards machine-actionable quality information."
We welcome participation from individuals and organizations across disciplines and domains. If you're working with Earth science data, join your peers and colleagues at ESIP.
