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Persistent identification and citation of software
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dc.contributor.author | Jones, Catherine Mary | |
dc.contributor.author | Matthews, Brian | |
dc.contributor.author | Gent, Ian | |
dc.contributor.author | Griffin, Tom | |
dc.contributor.author | Tedds, Jonathan | |
dc.date.accessioned | 2017-02-06T11:30:11Z | |
dc.date.available | 2017-02-06T11:30:11Z | |
dc.date.issued | 2017-07-04 | |
dc.identifier.citation | Jones , 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 . https://doi.org/10.2218/ijdc.v11i2.422 | en |
dc.identifier.issn | 1746-8256 | |
dc.identifier.other | PURE: 249090187 | |
dc.identifier.other | PURE UUID: d1fef0a7-8a21-40eb-a4bc-e43aa6ac559e | |
dc.identifier.other | crossref: 10.2218/ijdc.v11i2.422 | |
dc.identifier.uri | https://hdl.handle.net/10023/10237 | |
dc.description | This work has been funded by Jisc in the Research@Risk scheme. | en |
dc.description.abstract | Software 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.language.iso | eng | |
dc.relation.ispartof | International Journal of Digital Curation | en |
dc.rights | Copyright rests with the authors. This work is released under a Creative Commons Attribution (UK) Licence, version 2.0. For details please see http://creativecommons.org/licenses/by/2.0/uk/ | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | QA76 Computer software | en |
dc.subject | Z665 Library Science. Information Science | en |
dc.subject | T-NDAS | en |
dc.subject | BDC | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | QA76 | en |
dc.subject.lcc | Z665 | en |
dc.title | Persistent identification and citation of software | en |
dc.type | Journal article | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.contributor.institution | University of St Andrews. Centre for Interdisciplinary Research in Computational Algebra | en |
dc.identifier.doi | https://doi.org/10.2218/ijdc.v11i2.422 | |
dc.description.status | Peer reviewed | en |
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