Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2502
Title: A machine-learning approach for a CRIS research outputs’ SDG classifications
Authors: Lopes, António Luís 
Roseta-Palma, Caterina 
Simaens, Ana 
Keywords: research information management;current research information systems;Sustainable Development Goals (SDGs);research classifications;machine learning;Ciência-IUL
Issue Date: 23-Nov-2023
Publisher: euroCRIS
Conference: Strategic Membership Meeting 2023 – Autumn (Pamplona) 
Abstract: 
This presentation takes stock of the methodologies that have been applied to the assessment of research outputs as they relate to the SDGs, in our institutional CRIS, Ciência-IUL. In particular, we focus on the machine-learning-based approach that was employed in the CRIS to help researchers choose the right SDGs to be associated with their research outputs (including publications and projects).
Description: 
20 slides.-- Presentation delivered by António Lopes within session "Contributions from euroCRIS members".-- Includes extended abstract submitted to the event
URI: http://hdl.handle.net/11366/2502
Appears in Collections:Conference

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euroCRIS_SMM2023Pamplona_ALopes_A-machine-learning-approach.pdfPDF presentation1.11 MBAdobe PDF
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euroCRIS_SMM2023-ISCTE-IUL-ALopes-extended-abstract.pdfExtended abstract778.64 kBAdobe PDF
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