The Data-Driven Bioeconomy project (DataBio) focuses on the production of best possible raw materials from agriculture, forestry and fishery for the bioeconomy industry to produce food, energy and biomaterials taking into account responsibility and sustainability.

In order to meet the above objectives, DataBio is controlling and putting to use the innovative ICTs and information flows centered mostly around the use of proximal and remote sensors, in order to provide a streamlined Big Data Infrastructure for data discovery, retrieval, processing and visualizing, in support to decisions in bioeconomy business operations.

Bioeconomy can benefit from Big Data. Farm machines, fishing vessels, forestry machinery, and remote and proximal sensors collect large quantities of data. Large scale data collection and collation enhances knowledge to increase performance and productivity in a sustainable way.

The competence center Spatial Information Management contributes to the project with its expertise in storing, processing and visualizing Big Data. The department provides co-innovative contributions in architecture and platforms for Big Data inputs, advanced visualization services for the platforms and interfaces, real time analytics and stream processing. Furthermore, the competence center Spatial Information Management contributes with its expertise in Big Data variety management, storage, linked data and queries.

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme; Topic: ICT-15-2016-2017; Big Data PPP: Large Scale Pilot actions in sectors best benefitting from data-driven innovation