data science

Agri-food research is increasingly becoming an international network of research groups working together in large multi-disciplinary projects. To efficiently solve food security challenges, agricultural modelers need to work together, sharing their knowledge, data and algorithms. Although opportunities for remote collaboration and sharing resources in the cloud are available, most of them are offered commercially through big tech companies. There are still many barriers for their use, like a lack of integration of different services and considerations of trust, safety, ownership, privacy and openness. Reliable and open shared working environments are needed that support the whole research process.