Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2557
Title: Persistent conference identifiers in CRIS – first implementations with VIVO and URIS
Authors: Auhunas, Sabina 
Hagemann-Wilholt, Stephanie 
Hauschke, Christian 
Kampe, Benjamin 
Rudakova, Tetiana 
Shapovalov, Viktor 
Shapovalov, Yevhenii 
Keywords: research information management;current research information systems;persistent identifiers;academic events;ConfIDent;VIVO;Ukrainian Research Information System (URIS)
Issue Date: 15-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: 
Academic events serve as pivotal instruments for scholarly discourse and networking within the scientific community. However, the quality of metadata describing these events often falls short, hindering their effective utilization. The ConfIDent project addresses this gap by establishing a registry for high-quality conference metadata with persistent identifiers (PIDs). It aims to enhance data management and accessibility while aligning with FAIR principles. ConfIDent has pioneered the creation of approximately 5000 DOIs for events, promoting transparency and interoperability. Integrating Conference PIDs into Research Information Systems (RIS) is essential for comprehensive research evaluation, as advocated by frameworks like the Leiden Manifesto and the Hong Kong Principles. Two case studies illustrate how the implementation of ConfIDent in RIS platforms can be tailored to specific research domains: the Forschungsatlas and the Ukraine Research Information System (URIS). Both cases aim at automated retrieval and integration of academic event metadata, enhancing the visibility and assessment of scholarly activities. Looking ahead, the integration of PIDs for events holds promise for advancing the role of academic events within RIS, fostering a more robust and nuanced approach to research evaluation.
Description: 
Extended abstract presented at the CRIS2024 conference in Vienna, Session 2.2 "Persistent identifiers and knowledge graphs (I)".-- Event programme available at https://cris2024.eurocris.org/#programme
URI: http://hdl.handle.net/11366/2557
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