In January 2025, Conor O’Leary focused on enhancing data preprocessing reliability in the FAIR-Chem/fairchem repository by addressing a critical bug in ASE dataset handling. He resolved issues with data copying during dataset splitting, ensuring that both row data and associated metadata were preserved throughout database operations. Using Python and leveraging skills in database management and testing, Conor also refined the conversion process from ASE database rows to graph representations, enabling accurate extraction and attachment of extra information. This work improved the integrity and maintainability of preprocessing pipelines, supporting more reliable downstream analytics and demonstrating careful attention to data consistency.