What are the Challenges of Data Minimization in Toxicology?
While beneficial, data minimization poses several challenges. One major issue is balancing the need for comprehensive data sets to ensure accurate and reproducible results with the requirement to limit data collection. Additionally, data anonymization can sometimes lead to loss of data utility, impacting the depth of analysis. Furthermore, the evolving landscape of data protection regulations requires continuous adaptation by researchers.
