Methodologies
From Earth Science Information Partners (ESIP)
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- Terminology/taxonomy
- Data quality harmonization
- Best practices in different communities
- Level 2 Quality flags (and what do they tell about the product quality)
- Level 3 "Quality" (what’s that?)
- Propagation of L2 uncertainty to L3
- Effects of missing data on aggregates
- Data quality ontology (The Semantic Web Cluster is already working on logistics of the Data Quality Ontology breakout session)
- Presenting data quality to users
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