Imagine if every water company used a different language to describe their pipes and pumps, making it impossible to share info. This project builds a universal translator and a secure digital vault for water data. It lets different companies swap information safely without worrying about hackers or messy spreadsheets.
Water companies struggle with fragmented data, poor interoperability, and cybersecurity risks, which prevents them from using AI and IoT effectively.
A Water Data Management Ecosystem (WDME) featuring a no-code pipeline editor, blockchain-based security, and a library of 30+ integrated tools.
If you are a municipal water provider dealing with fragmented data systems — this project developed a Water Data Management Ecosystem that makes data sharing secure and easy to use across 6 different countries.
If you are an IoT sensor manufacturer dealing with low market uptake due to interoperability issues — this project developed FIWARE-based tools that allow your devices to plug into a wider European data space.
If you are an industrial security firm dealing with vulnerabilities in water infrastructure — this project developed blockchain-based identity management and provenance services to ensure trusted data exchange.
Based on available project data, specific pricing is not mentioned, but the objective is to make data management resources affordable for the water sector.
Yes, the system was demonstrated in 6 pilots across Cyprus, Spain, Germany, the Netherlands, Finland, and the United Kingdom.
Based on available project data, the project uses FIWARE building blocks and open standards like DCAT-AP, but specific licensing terms for the WDME are not detailed.
It uses a modular architecture with over 30 integrated tools and a no-code Data Preparation Pipeline Editor to orchestrate workflows.
The project ensures GDPR compliance and aligns with European data space governance and FAIR data principles.
The consortium is heavily weighted toward commercial application, with 8 industry partners (including 3 SMEs) making up 44% of the group. This balance of 5 research organizations and 4 other entities across 10 countries suggests the project was driven by market needs rather than pure academic curiosity.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece
Contact us to explore how to implement the Waterverse data tools in your utility.
