Active Last updated: 27.09.2020
End: dec 2020
Start: jan 2019

Availability of data and information is crucial to be able to take correct decisions at all levels in many sectors: from healthcare to transport and energy, including bioeconomy, big data have become fundamental. The new challenges coming from data complexity and the demands for faster information management, elaboration and extraction call for a paradigm shift in the way data is acquired, stored, processed and analyzed. The solution for the challenges lies in the methods and in the technology, platform and software solutions of big data which are advancing rapidly. Especially the geospatial part of big data solution is a technology which is much newer and constantly in progress.

Status Active
Start - end date 01.01.2019 - 31.12.2020
Project manager Jonathan Rizzi
Project manager at Nibio Tor-Einar Skog
Division Division of Survey and Statistics
Department Geomatics

Norway is among the most advanced countries in the use of IT and for digitalization. Several recent report or strategy documents of the Norwegian government highlight the potential societal benefits for Norway in using big data, including geospatial information. In particular, it is shown that benefits can be represented by the improvement of the efficiency of decision-making processes and of the quality and timeliness of decisions and by giving actors the opportunity to react more quickly to deviations from normal situations. As examples, the handling of environmental disasters, planning of transport, security of society and increased business development and innovation are mentioned as concrete examples.

The Big data (Stordata) project has been started in order to increase the competence within NIBIO and take the benefits deriving from the application of new methods, such as machine learning, in the daily activity of the institute. The project is organized in different work packages aiming at reaching three main objectives.

1) Establish new alliances and partnerships in relation to the use of big data, cooperate in reasch projects and share information.

2) Test methods for the analysis of big data (machine learning and deep learning algorythms) and apply them in pilot cases for different sectors of interest for NIBIO, including automatic update of maps suche as AR (areal resource map of Norwa).

3) Test and apply to test case different technolgies and platforms for storing and sharing big data, including the Norwegian Sigma2 infrastructure, open source flatform for distributed storage and distributed computing and online cloud platforms.

Results will be useful to boost the competence on big data within NIBIO by exchanging experiences and sharing information and knwledge on this topic.

Publications in the project