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WorkflowHub: FAIR Workflow Registry

Authors: Justin Clark-Casey; Carole Goble; Finn Bacall; Frederik Coppens; WorkflowHub Club;

WorkflowHub: FAIR Workflow Registry

Abstract

Computational workflows are widely used in scientific analysis for scalable transparent and reproducible data processing pipelines and analytics across many disciplines and prevalent in ESFRIs and EOSC. Multiple open workflow management systems are available to researchers, each with their own siloed communities and ESFRIs. Enabling them to be FAIR is essential for researcher productivity, knowledge sharing, trust in publications and the democratisation of analysis. The WorkflowHub registry (https://workflowhub.eu), developed by the EOSC-Life Cluster but discipline and platform agnostic, enables researchers and developers so all can benefit from workflow discovery and reuse within and between disciplines and ESFRIs. This talk introduces the WorkflowHub and its many features. The WorkflowHub is registered in the EOSC Service catalogue, included by many EOSC/ESFRI projects in their work programmes and available to all EOSC and ESFRI communities. Computational workflows are widely used in scientific analysis across many disciplines and prevalent in ESFRIs and EOSC, each with their own siloed communities and ESFRIs. The WorkflowHub was developed by EOSC-Life Cluster and is used by many EOSC/ESFRIs projects, including EOSC4Cancer, BioDT, DISSCo, IBISBA, EuroScienceGateway, BY-COVID and so on.

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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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