What are the Challenges Associated with Data Variety?
The main challenges include data integration, standardization, and management. Combining data from different sources, such as genomic and clinical data, requires sophisticated algorithms and computational tools. Additionally, ensuring data quality and consistency across studies is vital for meaningful analysis. Data privacy and security are also significant concerns, especially when dealing with sensitive patient information.
