- To tackle efficiency and regulatory compliance issues, today’s laboratory organisations have undergone different levels of digitalisation. But
independently of the degree, all labs are generating a vast amount of experimental data by many different sources
- The key challenge is now how to find and leverage this data in order to avoid duplicating work, build on existing knowledge and support scientific
decision-making
- In this presentation, we will discuss the prerequisites from a data management and ontologies perspective
- We will show how semantic and related technologies can help accessing, processing and visualising your data, and we will share how scientific
intelligence drives knowledge sharing, collaboration and lab productivity