research & development
A Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector easy to use.
The WATERVERSE mission is to develop a Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector accessible, affordable, secure, fair, and easy to use, improving usability of data and the interoperability of data-intensive processes, thus lowering the entry barrier to data spaces, enhancing the resilience of water utilities and boosting the perceived value of data and therefore the market opportunities behind it.
WATERVERSE takes a holistic, interdisciplinary approach in the water domain, blending together complementary competencies of 15 partners located in 10 EU countries, representing the water domain with Research organisations (including social sciences experts), water utilities, water domain technology providers and innovation companies, as well as the technical community that is driving the development of data spaces, thus increasing the resilience of the water sector and water utilities, as a whole.
The project will:
- Actively engage end-users and stakeholders to assess the main gaps and challenges the water sector must overcome to effectively be part of and contribute to quality European data spaces
- Identify, extend, and integrate a wide set of data management tools to implement the WDME, based on FIWARE (www.fiware.org) Building Blocks and comprising tools and methods to ensure security and energy efficiency of the whole WDME
- Setup and demonstrate the WATERVERSE WDME in real environment with relevant and diverse case studies involving water sector stakeholders from 6 countries (Cyprus, Spain, Germany, the Netherlands, Finland, United Kingdom)
- Set clear and measurable indicators for assessing FAIRness of data in water-related data spaces
- Ensure the viability and sustainability of the WATERVERSE WDME, as well as its replicability, scalability and business applicability
WATERVERSE has received funding from the European Union’s Horizon Europe Research and Innovation programme under the Grant Agreement No 101070262.