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dc.date.accessioned2023-02-09T17:52:47Z
dc.date.available2023-02-09T17:52:47Z
dc.date.created2022-10-17T12:40:43Z
dc.date.issued2022
dc.identifier.citationSerrano-Solano, Beatriz Fouilloux, Anne Eguinoa, Ignacio Kalaš, Matúš Grüning, Björn Coppens, Frederik . Galaxy: A Decade of Realising CWFR Concepts. Data Intelligence. 2022, 4(2), 358-371
dc.identifier.urihttp://hdl.handle.net/10852/99834
dc.description.abstractAbstract 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.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleGalaxy: A Decade of Realising CWFR Concepts
dc.title.alternativeENEngelskEnglishGalaxy: A Decade of Realising CWFR Concepts
dc.typeJournal article
dc.creator.authorSerrano-Solano, Beatriz
dc.creator.authorFouilloux, Anne
dc.creator.authorEguinoa, Ignacio
dc.creator.authorKalaš, Matúš
dc.creator.authorGrüning, Björn
dc.creator.authorCoppens, Frederik
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2061974
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Data Intelligence&rft.volume=4&rft.spage=358&rft.date=2022
dc.identifier.jtitleData Intelligence
dc.identifier.volume4
dc.identifier.issue2
dc.identifier.startpage358
dc.identifier.endpage371
dc.identifier.doihttps://doi.org/10.1162/dint_a_00136
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2096-7004
dc.type.versionPublishedVersion
dc.relation.projectNFR/270068


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This item's license is: Attribution 4.0 International