
Data quality is key for reusability → must consider both producer and user perspectives.• Producers (Standards): ISO 19157-1 defines the producer view.• Gaps: PDFs not machine-actionable.• Users (Applications): No standards for user perspective; quality elements scattered across literature.• Opportunities: Scientific literature reveals user needs and data applications.• Key Question: How can we transform standards + literature into structured, queryable, FAIR-compliant descriptors?
M3.3, FAIRagro Plenary 2025, itness-for-purpose, data quality
M3.3, FAIRagro Plenary 2025, itness-for-purpose, data quality
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
