Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/645
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dc.contributor.authorWalther, Marcusen_US
dc.contributor.authorMelsheimer, Bastianen_US
dc.date.accessioned2018-05-08T20:27:09Z-
dc.date.available2018-05-08T20:27:09Z-
dc.date.issued2018-06-15-
dc.identifier.citation"FAIRness of Research Information": Proceedings of the 14th International Conference on Current Research Information Systems (CRIS2018)-
dc.identifier.citationProcedia Computer Science 146: 53-59 (2019)-
dc.identifier.urihttp://hdl.handle.net/11366/645-
dc.descriptionContains extended abstract accepted at the CRIS2018 Conferenceen_US
dc.description.abstractIn this paper, we present a technical development for an automated processing of Scopus’ affiliation data. The enables our users to record all external associations of research output without adding noticeable additional work load. The method uses standard tools that make the procedure portable and sustainable.en_US
dc.language.isoenen_US
dc.publishereuroCRISen_US
dc.relation.ispartofseriesCRIS2018: 14th International Conference on Current Research Information Systems (Umeå, June 13-16, 2018)-
dc.subjectresearch information managementen_US
dc.subjectinstitutional affiliationen_US
dc.subjectScopusen_US
dc.subjectFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)en_US
dc.titleAutomated author affiliation processing using Scopus dataen_US
dc.typePresentationen_US
dc.identifier.doihttps://doi.org/10.1016/j.procs.2019.01.079-
dc.relation.conferenceCRIS2018 – Umeåen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypePresentation-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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