eTRANSAFE

Comprehensive analysis of correspondence and validity of animal data for human safety Drug discovery and development is a knowledge-intensive process that can benefit from integrative analysis of different data types, produced by functions within the drug development chain. These integrative approaches can facilitate decision making across the drug discovery and development pipeline, improving lead optimisation and enhancing risk assessment. A pre-requisite for this is the availability of relevant, high-quality datasets. However, to maximally leverage these data, important challenges such as encouraging information sharing among competing organisations, or promoting adequate data quality control, standardisation and annotation are required.