Data-Driven Bioeconomy

Project: EU project

Project Details

Description

The data intensive target sector selected for the DataBio project is the Data-Driven Bioeconomy, focusing in production of best possible raw materials from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials taking into account also various responsibility and sustainability issues. DataBio proposes to deploy a state of the art, big data platform “on top of the existing partners’ infrastructure and solutions - the Big DATABIO Platform.The work will be continuous cooperation of experts from end user and technology provider companies, from bioeconomy and technology research institutes, and of other partners. In the pilots also associated partners and other stakeholders will be actively involved. The selected pilots and concepts will be transformed to pilot implementations utilizing co-innovative methods and tools where the bioeconomy sector end user experts and other stakeholders will give input to the user and sector domain understanding for the requirements specifications for ICT, Big Data and Earth Observation experts and for other solution providers in the consortium. Based on the preparation and requirement specifications work the pilots are implemented utilizing and selecting the best suitable market ready or almost market ready Big Data and Earth Observation methods, technologies, tools and services to be integrated to the common Big DATABIO Platform. During the pilots the close cooperation continues and feedback from the bioeconomy sector user companies will be utilized in the technical and methodological upgrades to pilot implementations. Based on the pilot results and the new solutions also new business opportunities are expected. In addition during the pilots the end user utilizers are participating trainings to learn how to use the solutions and developers also outside the consortium will be activated in the Hackathons to design and develop new tools, services and application for the platform.
AcronymDataBio
StatusFinished
Effective start/end date1/01/1731/12/19

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 15 - Life on Land

Funding category

  • EU-H2020

Keywords

  • H2020-EU.2.1.1.

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Big Data in Bioeconomy: Results from the European DataBio Project

    Södergård, C. (ed.), Mildorf, T. (ed.), Habyarimana, E. (ed.), Berre, A. J., Fernandes, J. A. (ed.) & Zinke-wehlmann, C. (ed.), 2021, Springer. 423 p.

    Research output: Book/ReportBook (author)peer-review

    Open Access
  • Big Data Technologies in DataBio

    Södergård, C., Mildorf, T., Berre, A. J., Tsalgatidou, A. & Charvát, K., 14 Aug 2021, Big Data in Bioeconomy: Results from the European DataBio Project. Södergård, C., Mildorf, T., Habyarimana, E., Berre, A. J., Fernandes, J. A. & Zinke-Wehlmann, C. (eds.). Springer, p. 3-15

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    Open Access
  • Big Data Visualisation

    Esbrí, M. Á., Klien, E., Charvát, K., Zinke-wehlmann, C., Hitado, J. & Södergård, C., 14 Aug 2021, Big Data in Bioeconomy: Results from the European DataBio Project. Södergård, C., Mildorf, T., Habyarimana, E., Berre, A. J., Fernandes, J. A. & Zinke-Wehlmann, C. (eds.). Springer, p. 169-184

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    Open Access