Recommendation and integration of bibliographical references and personal identifiers during import procedures : collaboratively with researchers





Faculty/Professorship: University Library  ; IT-Service (ITS) 
Author(s): Staudinger, Johanna  ; Illig, Steffen  ; Gantner, Florian  
Conference: 17th International Conference on Open Repositories : 6th - 9th June 2022, Denver, Colorado, USA
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 1
Language(s): English
DOI: 10.20378/irb-54264
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-542647
Abstract: 
Supporting and engaging researchers to enter their research outputs in our current research information system (CRIS) is a difficult task itself. Therefore, it seems worthwhile to motivate our researchers to create and use persistent identifiers and above all, to share them with us. 
Consequently, we want to offer services to search by name and experience the advantage of identifiers, which can be simply stored in our system during this process. 
So, we would like to present the prototype of our application called RARIS, a reference analysis recommendation information system. It could be helpful for different kinds of repositories to import bibliographic references by engaging researchers to share their identifiers.  
We want to describe the planned integration into our DSpace-CRIS instance and give an overview of further developments.
GND Keywords: Autoren; Persistent identifier; Bibliografie; Benutzerprofil
Keywords: Author identification, Recommendations, Bibliographical references, Profile enhancements
DDC Classification: 004 Computer science  
020 Library & information science  
RVK Classification: ST 274   
Peer Reviewed: Ja
International Distribution: Ja
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/54264
Release Date: 18. July 2022
Project: Forschungsinformationssystem der Universität Bamberg

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