Enhancing data quality in knowledge bases: A FAIR approach

A FAIRy tale by Manuel Lera-Ramírez – a personal story about how I work with FAIR (Findable, Accessible, Interoperable and Reusable) data.

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In this tale of navigating the complexities of data management, Manuel Lera-Ramírez invites us into his world of grappling with data quality within the PomBase model organism knowledge base. He narrates the challenges encountered in curating genotype-to-phenotype annotations, particularly the hurdles stemming from manually inputting allele descriptions.

Manuel's journey revolves around addressing the persistent issues of syntax errors and sequence inconsistencies. To combat these, he created a software pipeline to not just rectifying errors but offering broader applicability beyond PomBase.

The tale concludes with Manuel's reflections on the journey – how these improvements didn't just elevate data quality but exemplified a dedication to making information more accessible and reliable (FAIR).