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http://hdl.handle.net/11366/2794| Title: | AI-CRIS Knowledge Hub: Driving Innovation in Research Information | Authors: | Azeroual, Otmane | Keywords: | current research information systems;innovation;data science;artificial intelligence;knowledge graphs | Issue Date: | 27-Nov-2025 | Publisher: | euroCRIS | Conference: | Strategic Membership Meeting 2025 – Autumn (İzmir) | Abstract: | This presentation introduces the AI-CRIS Knowledge Hub, a platform designed to drive innovation in Current Research Information Systems (CRIS) through modern data science methods. The Hub integrates AI/ML, Knowledge Graphs, Data Fabric, Data Mesh, and Elastic Stack to enhance data interoperability, automate classification, predict research trends, and support advanced analytics. The presentation outlines the concept, potential applications, and a roadmap for piloting these methods with euroCRIS members, followed by implementation in German universities, aiming to foster collaboration and knowledge sharing across the CRIS community. A related publication with initial ideas on applying data science methods in research information systems can be found here: „Empowering IT-Supported Research Management: Leveraging Data Science Methods for Informed Decisions“, IOS Press E-Book, https://ebooks.iospress.nl/volumearticle/71965 Further related work includes: • AI4Knowledge: Shaping the Future of Research Data Systems, DOI: 10.1109/ACDSA65407.2025.11166485 • Streamlining Research Information Management with Large Language Models: Automation, Analysis, and User-Centric Solutions, DOI: 10.1109/ICBDA65366.2025.11211236 |
Description: | Presentation to be delivered at the SMM2025 İzmir – session "AI4RIS - AI & CRIS systems" |
URI: | http://hdl.handle.net/11366/2794 |
| Appears in Collections: | Conference |
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