Data heterogeneity refers to the diversity and variability in data types, formats, sources, and structures. In the context of nanotechnology, it encompasses a wide range of datasets generated from different experimental techniques, computational models, and various applications. This diversity poses significant challenges in data integration, interpretation, and analysis.
