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D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions, , , , , , , , , and 30 other author(s). (2022)Semantic modelling of common data elements for rare disease registries, and a prototype workflow for their deployment over registry data., , , , , , , , , and 9 other author(s). J. Biomed. Semant., 13 (1): 9 (2022)Intra-axiom redundancies in SNOMED CT., and . Artif. Intell. Medicine, 65 (1): 29-34 (2015)A Resource for Guiding Data Stewards to Make European Rare Disease Patient Registries FAIR., , , , , , , , , and 5 other author(s). Data Sci. J., (January 2023)Facilitating pre-operative assessment guidelines representation using SNOMED CT., , and . J. Biomed. Informatics, 43 (6): 883-890 (2010)Design and implementation of an ICU incident registry., , and . Int. J. Medical Informatics, 76 (2-3): 103-108 (2007)Elicitation and prioritization of requirements for electronic health records for oncology in low resource settings: A concept mapping study., , and . Int. J. Medical Informatics, (2020)Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study., , , , , and . BMC Medical Informatics Decis. Mak., 20-S (10): 278 (2020)FAIRification Efforts of Clinical Researchers: The Current State of Affairs., , , , and . EFMI-STC, volume 287 of Studies in Health Technology and Informatics, page 35-39. IOS Press, (2021)Assessing Resolvability and Consistency in OBO Foundry Ontologies: Pilot Study., , and . EFMI-STC, volume 287 of Studies in Health Technology and Informatics, page 104-108. IOS Press, (2021)