
The World Data System hosted a workshop on AI Data readiness. The workshop was delivered by WDS-ITO Staff, in coordination with the ESIP Data Readiness Cluster. Participants were given an introduction to the ESIP AI Data Readiness Checklist which encapsulates considerations for data quality, documentation, access, and preparation. Following rounds of review and discussion for each of these checklist categories, participants took part in a pilot exercise to apply this checklist to datasets in their own repositories. A brief synopsis of other AI-readiness related developments was presented towards the end.
| 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 |
