Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/645
Title: Automated author affiliation processing using Scopus data
Authors: Walther, Marcus 
Melsheimer, Bastian 
Keywords: research information management
institutional affiliation
Scopus
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Issue Date: 15-Jun-2018
Publisher: euroCRIS
Source: "FAIRness of Research Information": Proceedings of the 14th International Conference on Current Research Information Systems (CRIS2018)
Procedia Computer Science 146: 53-59 (2019)
Series/Report no.: CRIS2018: 14th International Conference on Current Research Information Systems (Umeå, June 13-16, 2018)
Conference: CRIS2018 – Umeå 
Abstract: In this paper, we present a technical development for an automated processing of Scopus’ affiliation data. The enables our users to record all external associations of research output without adding noticeable additional work load. The method uses standard tools that make the procedure portable and sustainable.
Description: Contains extended abstract accepted at the CRIS2018 Conference
URI: http://hdl.handle.net/11366/645
DOI: https://doi.org/10.1016/j.procs.2019.01.079
Appears in Collections:Conference

Files in This Item:
File Description SizeFormat 
Walther_Melsheimer_CRIS2018_paper_Automated_author_affiliation_processing.pdfExtended abstract (PDF)140.58 kBAdobe PDFView/Open
Show full item record

Page view(s)

231
Last Week
1
Last month
4
checked on May 20, 2019

Download(s)

444
checked on May 20, 2019

Google ScholarTM

Check

Altmetric


Items in the euroCRIS DSpace-CRIS are offered under a CC-BY licence unless otherwise indicated.