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dc.contributor.authorBond, Christine
dc.date.accessioned2019-01-23T00:04:58Z
dc.date.available2019-01-23T00:04:58Z
dc.date.issued2018-02
dc.identifier.citationBond , C 2018 , ' Big Data ' International Journal of Pharmacy Practice , vol. 26 , no. 1 , pp. 1-2 . https://doi.org/10.1111/ijpp.12434en
dc.identifier.issn0961-7671
dc.identifier.otherPURE: 115032503
dc.identifier.otherPURE UUID: 8e3da1f3-b729-4146-a22e-8822503ee716
dc.identifier.otherScopus: 85040825117
dc.identifier.urihttp://hdl.handle.net/2164/11819
dc.format.extent2en
dc.language.isoeng
dc.relation.ispartofInternational Journal of Pharmacy Practiceen
dc.rightsThis is the peer reviewed version of the following article: Bond, C. (2018), Big Data. International Journal of Pharmacy Practice, 26: 1–2., which has been published in final form at doi:10.1111/ijpp.12434. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en
dc.subjectRS Pharmacy and materia medicaen
dc.subject.lccRSen
dc.titleBig Dataen
dc.typeJournal itemen
dc.contributor.institutionUniversity of Aberdeen, Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen, Institute of Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1111/ijpp.12434
dc.date.embargoedUntil23-01-20


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