Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/1984
DC FieldValueLanguage
dc.contributor.authorBrase, Lisaen_US
dc.contributor.authorGrünler, Steffenen_US
dc.date.accessioned2022-04-13T09:27:49Z-
dc.date.available2022-04-13T09:27:49Z-
dc.date.issued2022-05-13-
dc.identifier.urihttp://hdl.handle.net/11366/1984-
dc.descriptionPoster presented at the CRIS2022 conference in Dubrovnik.-- Event programme available at https://cris2022.srce.hr/#section-programen_US
dc.descriptionPoster presented within the poster session on May 13th-
dc.description.abstractUsing CRIS data becomes more and more important for universities but provides little direct benefit to present research outcome itself in public and to discover the university’s research expertise. Thus, we connected the CRIS data to our web content management system (WCMS) to provide a smooth solution for easy creating individual content on websites: On a personal, organizational and university level. Internal identifiers and the underlying organizational structure can be used as filters to directly create various lists of research outcomes. Furthermore, this method also includes the possibility to connect additional data spaces, e.g. repositories and other research information systems. Our approach enables us to comprehensively present and evaluate university research outcome to the public.en_US
dc.language.isoenen_US
dc.publishereuroCRISen_US
dc.relation.ispartofseriesCRIS2022: 15th International Conference on Current Research Information Systems (Dubrovnik, Croatia, May 12-14, 2022)-
dc.subjectcurrent research information systemsen_US
dc.subjectweb content management system (WCMS)en_US
dc.subjectsystem interoperabilityen_US
dc.titleUsing CRIS data to generate customized research outcome on university websitesen_US
dc.typePosteren_US
dc.relation.conferenceCRIS2022 – Dubrovniken_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypePoster-
item.fulltextWith Fulltext-
item.languageiso639-1en-
Appears in Collections:Conference
Files in This Item:
File Description SizeFormat
Brase-Grünler_CRIS2022_Using CRIS-data-to-generate.pdfAbstract (PDF)228.81 kBAdobe PDF
View/Open
Brase-Grünler_UHamburg_poster_CRIS2022.pdfPDF poster1.64 MBAdobe PDF
View/Open
Show simple item record

Page view(s)

82
checked on Apr 17, 2024

Download(s)

85
checked on Apr 17, 2024

Google ScholarTM

Check


Items in DSpace are offered under a CC-BY 4.0 licence unless otherwise indicated