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Galaxy:A Decade of Realising CWFR Concepts 被引量:1

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摘要 Despite recent encouragement to follow the FAIR principles,the day-to-day research practices have not changed substantially.Due to new developments and the increasing pressure to apply best practices,initiatives to improve the efficiency and reproducibility of scientific workflows are becoming more prevalent.In this article,we discuss the importance of well-annotated tools and the specific requirements to ensure reproducible research with FAIR outputs.We detail how Galaxy,an open-source workflow management system with a web-based interface,has implemented the concepts that are put forward by the Canonical Workflow Framework for Research(CWFR),whilst minimising changes to the practices of scientific communities.Although we showcase concrete applications from two different domains,this approach is generalisable to any domain and particularly useful in interdisciplinary research and science-based applications.
出处 《Data Intelligence》 EI 2022年第2期358-371,共14页 数据智能(英文)
基金 supported by the European Union's Horizon 2020 programme(No.857652,EOSCNordic,and No.101017501,RELIANCE) supported by BMBF grants 031 A538A/A538C(de.NBI-RBC),NFDI7/1-42077441(DataPLANT)and 031L0101C(de.NBI-epi) supported by Research Foundation-Flanders(FWO)for ELIXIR Belgium(I002819N) the European Union's Horizon 2020 programme(No.824087,EOSC-Life) partially supported by the Research Council of Norway's grant 270068 for ELIXIR Norway.
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