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dc.contributor.authorJones, Catherine Mary
dc.contributor.authorMatthews, Brian
dc.contributor.authorGent, Ian
dc.contributor.authorGriffin, Tom
dc.contributor.authorTedds, Jonathan
dc.identifier.citationJones , C M , Matthews , B , Gent , I , Griffin , T & Tedds , J 2017 , ' Persistent identification and citation of software ' , International Journal of Digital Curation , vol. 11 , no. 2 , pp. 104-114 .
dc.identifier.otherPURE: 249090187
dc.identifier.otherPURE UUID: d1fef0a7-8a21-40eb-a4bc-e43aa6ac559e
dc.identifier.othercrossref: 10.2218/ijdc.v11i2.422
dc.descriptionThis work has been funded by Jisc in the Research@Risk scheme.en
dc.description.abstractSoftware underpins the academic research process across disciplines. To be able to understand, use/reuse and preserve data, the software code that generated, analysed or presented the data will need to be retained and executed. An important part of this process is being able to persistently identify the software concerned. This paper discusses the reasons for doing so and introduces a model of software entities to enable better identification of what is being identified. The DataCite metadata schema provides a persistent identification scheme and we consider how this scheme can be applied to software. We then explore examples of persistent identification and reuse. The examples show the differences and similarities of software used in academic research, which has been written and reused at different scales. The key concepts of being able to identify what precisely is being used and provide a mechanism for appropriate credit are important to both of them.
dc.relation.ispartofInternational Journal of Digital Curationen
dc.rightsCopyright rests with the authors. This work is released under a Creative Commons Attribution (UK) Licence, version 2.0. For details please see
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectZ665 Library Science. Information Scienceen
dc.titlePersistent identification and citation of softwareen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.description.statusPeer revieweden

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