Automatically Generated Profiles for Experts, Institutions and Working Groups

Author(s)
Welke, Birgit
Keywords

current research info...

research profiles

medical subject headi...

collaboration network...

Issue Date
May 16, 2024
Publisher
euroCRIS
Type
Conference Proceeding
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
https://dspacecris.eurocris.org/handle/11366/2590
DOI
File(s)
Thumbnail Image
Name

Welke-Krause_CRIS2024_slides_Output-driven-profiling-for-Experts.pdf

Description
Presentation (PDF)
Size

1.45 MB

Format

Adobe PDF

Checksum (MD5)

e7ccd4c5ad5d52ce93436d88ff4d52de

Thumbnail Image
Name

Welke-Krause_CRIS2024_Output-driven-profiling-for-Experts.pdf

Description
Extended abstract (PDF)
Size

1.58 MB

Format

Adobe PDF

Checksum (MD5)

a39b0babee591cff2d2e5494c1b5edde