This talk explores Data Harmonization, which involves integrating and standardizing data from various sources to ensure consistency, accuracy, and compatibility across datasets. We address challenges such as data heterogeneity and metadata inconsistencies prevalent in public databases and highlight the crucial role of metadata curation using structured ontologies. We also discuss hybrid curation techniques that merge automated and manual methods for robust data management. The session will showcase the practical applications of harmonized datasets, including comprehensive deliverables like reports and integrated data packages. Join us to discover how these strategies can enhance your data management and significantly improve research outcomes.

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