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    AI for Duplicate Record Detection in Current Research Information System
    (euroCRIS, 2025-04-24)
    The presentation provides a case study on the application of artificial intelligence to research information management for the purpose of identifying duplicate records for publications. This is an ongoing area of activity of the CRISalid consortium formed by twelve institutions in France, https://crisalid.org/. The slides describe the process to detect duplicates for publications without any shared identifiers. Several data sources are harvested for the purpose of collecting a full bibliography, the ultimate objective being to help research institutions overcome the choice between commercial turnkey systems and the fragmented ecosystem of open platforms.