
The EOSC-A FAIR Metrics and Data Quality Task Force (TF) supports the European Open Science Cloud Association (EOSC-A) by providing strategic directions on FAIRness (Findable, Accessible, Interoperable, and Reusable) and data quality. This report summarises the results of a survey conducted at the end of 2022/early 2023, targeting both developers and users of FAIR assessment tools. The survey received 78 responses and was an integral part of the TF's broader initiative to harmonize FAIR assessment results across various service providers and to foster a community-led approach to FAIR governance.
EOSC Task Force on FAIR Metrics and Data Quality, FAIR Principles, EOSC, FAIR metrics, Open Science, EOSC Association, Advancing Open Science in Europe, Horizon Europe, FAIR assessment tools, FAIR Assessment Governance, FAIR Metrics, FAIR Assessment, Community Perspectives
EOSC Task Force on FAIR Metrics and Data Quality, FAIR Principles, EOSC, FAIR metrics, Open Science, EOSC Association, Advancing Open Science in Europe, Horizon Europe, FAIR assessment tools, FAIR Assessment Governance, FAIR Metrics, FAIR Assessment, Community Perspectives
| 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 |
