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About the Speaker: Connie Clare, Community Manager, 4TU.ResearchData 4TU.ResearchData is an international data repository for science, engineering and design disciplines. Built around the technical infrastructure, the online community comprises researchers, research data supporters (data stewards, data managers, research software engineers, IT and communications specialists) and technical experts (repository back office staff). The goal of the community is to provide an inclusive space for members to connect and exchange knowledge about best practices for the creation and reuse of FAIR data within diverse scientific domains. This includes the development and provision of discipline-specific guidance, training and resources to support researchers in making their data Findable, Accessible, Interoperable and Reusable (The FAIR Principles). About the presentation: This presentation was delivered during a VU Data Conversation webinar, '4TU.ResearchData & VU Data Conversations: peer-review for preprints and data'. The presentation provides information about a pilot initiative organised by 4TU.ResearchData (in collaboration with The Evolving Scholar and CODECHECK) that provides researchers with the opportunity to have their published data and software code peer-reviewed.
| citations 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 |
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