The future of data management in toxicology is likely to be shaped by advances in technology and data science. The integration of artificial intelligence and machine learning will enhance predictive toxicology, enabling more accurate assessments of chemical risks. The development of standardized data formats and interoperability frameworks will facilitate data sharing and collaboration. Additionally, the emphasis on open data initiatives will promote transparency and accessibility in toxicology research.
