Meaningful and inspiring data integration: an introduction to Edelweiss
Presented by Johan Nyström-Persson, Data Scientist
Data integration remains an important concern in toxicology and life sciences. Data must be integrated in such a way that scientific reliability is maintained, and also in a way that provides a meaningful, if not inspiring, context for researchers to understand information. Furthermore, the problem cannot be solved incrementally, but only by focussing on the entire dataset lifecycle in its totality. It is a concern at the time of data generation and capture, as well as when storing, publishing and using data.