Bibliometric performance analysis depends fundamentally on the quality and consistency of the underlying data, yet data cleaning and harmonisation are often treated as secondary or informal steps in the research workflow. In practice, unstandardised author names, fragmented affiliations, duplicated records, and poorly curated keywords can substantially distort analytical outcomes and undermine the validity of bibliometric indicators. The biblioMagika® Interactive Checklist for Bibliometric Performance Analysis and Data Cleaning was developed to address this gap by providing a structured, step-by-step framework that integrates data preparation and performance analysis into a coherent, auditable process. By translating complex procedures into an interactive checklist, the framework promotes methodological discipline, enhances reproducibility, and supports more reliable and defensible bibliometric insights across research evaluation and scholarly assessment contexts.