Expected results

The project is expected to produce remarkable results both in social and economic terms.

The social dimension of the results is based on the use of open technologies and the production of open data. In the frame of the project, a digital infrastructure (platform) is being implemented, which draws data from sensors made of open hardware.

At the same time, a set of instructions on the assembly, placement and connection of the sensors to the platform, is being developed. The environmental data generated by this process shall be made available as open data to the general public, the scientific community and any other relevant body or organization. This approach strengthens the practices of crowdsourcing and citizensscience.



The data is generated and transferred for analysis on the open application, which is the web site for collecting, storing, processing, analyzing and displaying data in real time, dramatically reducing…


The data density is very sparse, at national level it often does not exceed three times a year. The ‘smart’ open material sensors create a daily and steady data stream.


The cost of the process is significantly lower compared to the main environmental monitoring technique in water bodies, on-site sampling, requiring the transfer of specialized personnel to the sampling points,…

Open ELIoT is a collaborative project of the firms EXM and Argyropoulos and Co. With the research organization HCMR

In order to provide a high level solution for the monitoring and analysis of environmental parameters related to surface water, using open and modern technologies and materials.

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This research has been co‐financed by the European Union and Greek national funds

through the Operational Program
Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code:Τ1EDK-01613)

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