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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/103723
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dc.contributor.authorBajada, Claude J.-
dc.contributor.authorSmith, Robert-
dc.contributor.authorCaspers, Svenja-
dc.date.accessioned2022-11-16T13:45:06Z-
dc.date.available2022-11-16T13:45:06Z-
dc.date.issued2022-
dc.identifier.citationBajada, C. J., Smith, R. E., & Caspers, S. (2022). Notes on fiber length measurements: A case study in the underbelly of open source neuroscience. NeuroImage, 264, 119738.en_GB
dc.identifier.issn1053-8119-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/103723-
dc.description.abstractBeing on the bleeding edge of research requires the use of new and regularly updated software. The result is the occasional and inevitable occurrence of bugs. In the following work we present a case study where a feature request introduced a bug in a neuroimaging software package, which had consequences for the quality of results in a published article. We discuss the process of diagnosis, rectification and analysis replication.en_GB
dc.language.isoenen_GB
dc.publisherElsevier BVen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectOpen source software -- Case studiesen_GB
dc.subjectCognitive neuroscienceen_GB
dc.subjectWhite matteren_GB
dc.subjectSoftware failuresen_GB
dc.subjectOptical data processingen_GB
dc.subjectBrain -- Imagingen_GB
dc.titleNotes on fiber length measurements : a case study in the underbelly of open source neuroscienceen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1016/j.neuroimage.2022.119738-
dc.publication.titleNeuroImageen_GB
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