Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2590
Title: Automatically Generated Profiles for Experts, Institutions and Working Groups
Authors: Welke, Birgit 
Krause, Bernhard 
Keywords: current research information systems;research profiles;medical subject headings;collaboration networks
Issue Date: 16-May-2024
Publisher: euroCRIS
Series/Report no.: CRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024)
Conference: CRIS2024 – Vienna 
Abstract: 
Research Information Systems mainly collect research metadata to improve, distinguish and report the output of experts, institutions and working groups. CRIS systems are based on a system integration with the organizational HR or ERP systems to map research output data within the organization structure.

Connecting affiliated organizations from publications easily reports the list of cooperating research organizations from the viewpoint of the complete research institute. This can be connected with the internal structure of the organization and shows who is working in collaboration inside Centers, Departments, working groups and with external research groups.

In addition, collaborations will be broken down to research fields and topics. We The approach shows, the connecting data of the given sources may give insights about research fields over time.
Description: 
Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme

11 slides.-- Presentation delivered within Session 7 "Tools and products" on Thu May 16th, 2024
URI: http://hdl.handle.net/11366/2590
Appears in Collections:Conference

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Welke-Krause_CRIS2024_slides_Output-driven-profiling-for-Experts.pdfPresentation (PDF)1.49 MBAdobe PDF
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Welke-Krause_CRIS2024_Output-driven-profiling-for-Experts.pdfExtended abstract (PDF)1.61 MBAdobe PDF
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