What are the Challenges in Maintaining Data Quality?
Maintaining data quality in cancer research involves addressing several challenges: - Data Volume: The sheer volume of data can overwhelm existing infrastructure and analytical capabilities. - Data Diversity: Diverse data types and sources require sophisticated integration and harmonization techniques. - Human Error: Manual data entry and processing can introduce errors, necessitating automated and semi-automated solutions. - Technological Limitations: Outdated or incompatible technologies can hinder data quality efforts.
