Despite its importance, data standardization in cancer research faces several challenges:
Data Heterogeneity: Cancer data is highly diverse, encompassing various data types such as genomic, proteomic, and clinical data. Standardizing such varied data is complex. Data Quality: Inconsistent data quality and missing information can hinder the standardization process. Privacy and Security: Ensuring patient privacy and data security while standardizing and sharing data is a significant concern. Resource Intensive: Standardizing large datasets requires substantial computational resources and expertise.
