Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2553
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dc.contributor.authorDullinger, Iwonaen_US
dc.contributor.authorFröschl, Sonjaen_US
dc.contributor.authorFürst, Elenaen_US
dc.contributor.authorGreil, Michaelen_US
dc.contributor.authorKalová, Terezaen_US
dc.contributor.authorMahrer, Consueloen_US
dc.date.accessioned2024-05-03T23:49:01Z-
dc.date.available2024-05-03T23:49:01Z-
dc.date.issued2024-05-15-
dc.identifier.urihttp://hdl.handle.net/11366/2553-
dc.descriptionExtended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programmeen_US
dc.description11 slides.-- Presentation delivered within Session 1.3 "Data management and other challenges" on Wed May 15th, 2024-
dc.description.abstractIn recent years, the number of implementations of research data as a data type in current research information systems (CRIS) has increased significantly. Firstly, this paper examines the ongoing discourse surrounding the relationship between research data and CRIS in the relevant scientific literature. Secondly, it analyses possible use cases for integrating the “research data” data type into an institutional CRIS, focusing on the research information system of the University of Vienna u:cris. In addition to the CRIS, which only documents metadata, the University of Vienna has two repositories: an institutional repository, PHAIDRA, and a discipline-specific repository, AUSSDA, catering to the social sciences. Complementing these repositories, the university supports researchers in managing their research data with a data steward team consisting of six people. In 2021, the University of Vienna adopted a Research Data Management (RDM) Policy that describes the responsibilities of the University of Vienna and the researchers in terms of managing research data adequately. Several small-scale studies have sought to assess and monitor the RDM practices of the university's researchers, but so far no substantial data – quantitative or qualitative – has been collected for the entire institution, nor for individual organisational units. With this in mind, this paper examines the possibility of leveraging the research information system u:cris to support and further develop the university’s research data management services. The potential applications for implementing a dataset module in u:cris are illustrated by case studies from other CRIS implementations at both institutional and national levels.en_US
dc.language.isoenen_US
dc.publishereuroCRISen_US
dc.relation.ispartofseriesCRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024)-
dc.subjectcurrent research information systemsen_US
dc.subjectresearch data managementen_US
dc.subjectdata stewardshipen_US
dc.subjectmetadataen_US
dc.subjectAustriaen_US
dc.titleBridging the Gap: Research Data in Research Information Systemsen_US
dc.typeConference Proceedingen_US
dc.relation.conferenceCRIS2024 – Viennaen_US
item.languageiso639-1en-
item.openairetypeConference Proceeding-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
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