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Home 2017-11-23T13:44:38+00:00

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.

“This programme is implemented by DataBio Consortium:
48 partners from 17 countries, 14 of which are EU members.”

DataBio
August 2019
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29 July 2019 30 July 2019 31 July 2019 1 August 2019 2 August 2019 3 August 2019 4 August 2019
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12 August 2019 13 August 2019 14 August 2019 15 August 2019 16 August 2019 17 August 2019 18 August 2019
19 August 2019 20 August 2019 21 August 2019 22 August 2019 23 August 2019 24 August 2019 25 August 2019
26 August 2019 27 August 2019 28 August 2019 29 August 2019 30 August 2019 31 August 2019 1 September 2019

THE CONCEPT AND APPROACH

1. Big Data sets are heterogeneous, can be unstructured, hard to process;
2. Often valuable data is measured for real time use, not suitably preserved;
3. Big Data will be exponentially created, processed and stored in the coming years, but no single infrastructure can do the job alone.


To address these issues, DataBio will deploy a state of the art, interoperable big data platform on top of the existing Partners’ infrastructure in order to enable users with different profiles to fully benefit from the underlying High Processing capabilities.

PLANNED ACHIEVEMENTS

Demonstrate increase of productivity in bioeconomy
Increase of market share of Big Data technology providers in the bioeconomy sector
More than double the use of Big Data technology in bioeconomy
Leveraging additional target sector investments by a factor of >5
More than 100 organizations in demonstrations
Liaison with other Big Data actions
Closely working with BDVA