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At the end of 2022, the FAIR Metrics subgroup of the EOSC Association Task Force on FAIR Metrics and Data Quality published “FAIR Assessment Tools: Towards an "Apples to Apples" Comparisons” which describes some work done and suggestions for future developments in the area of FAIR assessment tools and specifically their harmonisation. The FAIR-IMPACT project appreciates the opportunity to respond to this document to detail our views and intended contributions.
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FAIR data, Response document, [INFO.INFO-WB] Computer Science [cs]/Web, FAIR-IMPACT, Harmonisation, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], EOSC Task Force, FAIR Assessment Tools, FAIR
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FAIR data, Response document, [INFO.INFO-WB] Computer Science [cs]/Web, FAIR-IMPACT, Harmonisation, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], EOSC Task Force, FAIR Assessment Tools, FAIR
| 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). | 1 | |
| 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 |
| views | 110 | |
| downloads | 80 |

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