Periodic Reporting for period 2 - Waterverse (Water Data Management Ecosystem for Water Data Spaces)
Okres sprawozdawczy: 2024-04-01 do 2025-09-30
The water sector is undergoing digital transformation with IoT, AI and big data, yet still faces major barriers: fragmented systems, limited interoperability, inconsistent semantics, cybersecurity risks and low awareness of digital and energy-efficient solutions. WATERVERSE tackled these challenges by developing the Water Data Management Ecosystem (WDME) to enable secure, FAIR, interoperable and user-friendly data sharing, improving operational resilience and market uptake. Key objectives included engaging end-users to address EU data governance gaps; integrating interoperable FIWARE-based tools aligned with European data spaces; demonstrating WDME in six pilots with guidance for SMEs; strengthening cybersecurity and energy-efficient data management; defining FAIR Digital Objects and metrics to assess and improve data FAIRness; and ensuring long-term sustainability through business planning, policy support, standardisation and targeted communication.
WATERVERSE successfully achieved its mission to deliver a WDME that makes water-sector data management accessible, affordable, secure, FAIR and easy to use.
WP1 – Coordination, ethics & quality: Strong project management ensured continuous quality assurance, ethics oversight and GDPR compliance.
WP2 – Stakeholder engagement & governance: Multi-Stakeholder Forums in each pilot supported needs identification, co-creation and adoption planning: MSF1: local needs, data gaps, priorities; MSF2: scenario validation and refinement; MSF3: usability feedback and future governance. A policy and governance assessment identified barriers and enablers for digital water transformation and produced nine recommendations to support WDME uptake across Europe.
WP3 – WDME development: A modular, scalable architecture was delivered, covering the full data lifecycle: acquisition, harmonisation, validation, FAIRness assessment, analytics, visualisation and publication. Over 30 tools were integrated into a unified operational environment deployed across six pilots. The no-code Data Preparation Pipeline Editor enabled workflow orchestration. Blockchain-based provenance, identity management and cybersecurity services ensured trusted, secure data exchange and sovereignty.
WP4 – Operationalising FAIR data: A sector-aligned FAIR framework was introduced. The FAIR Implementation Profile was refined, Smart Data Models and DCAT-AP were extended with FAIR attributes, and FAIR Digital Objects adopted to ensure persistent, machine-actionable entities across datasets and services. 18 FAIR services enabled metadata validation, semantic harmonisation and FAIRness scoring. FAIR Data Management Plans and tools, including MQA, MELODA5 and FAIR Maturity Models delivered measurable improvements in metadata quality and interoperability. WATERVERSE established itself as a European reference for FAIR water data and a foundation for future Water Data Spaces.
WP5 – Deployment, demonstration & impact: The WDME was deployed and iteratively validated in 6 real operational environments (SCADA, telemetry, water-management platforms), demonstrating diverse use cases: Water quality prediction (NL); Flood-risk digital twin (DE); Water digital twin integration (CY); CSO monitoring and management (UK); Integrated water-cycle supervision (SP); Smart risk management (FI). Helpdesk support, webinars, tutorials and a knowledge base enabled adoption. Impact assessment confirmed strong usability and added value of the WDME, with major operational, economic, environmental and social benefits.
WP6 – Communication, clustering, standardisation & exploitation: WATERVERSE built strong European visibility through newsletters, videos, policy briefs, website, webinars and social media. The consortium engaged in major clustering and events, and contributed to standardisation activities in ETSI, DCAT-AP and Smart Data Models, advancing NGSI-LD and catalogue interoperability.
A comprehensive business plan and sustainability roadmap defined exploitable assets, commercial pathways (including Ecosystem-as-a-Service, licensing, consultancy), IPR frameworks and governance models. All assets were mapped and ownership validated in a complete IPR register. A multilayer business model distinguishes open, shared and commercial service offerings. The strategy identifies short-term partner exploitation, mid-term scaling via European Data Spaces and long-term sustainability through innovation clusters and standardisation, ensuring WDME is market-ready and operational beyond the project’s lifetime.
WP1 – Coordination, ethics & quality: Strong project management ensured continuous quality assurance, ethics oversight and GDPR compliance.
WP2 – Stakeholder engagement & governance: Multi-Stakeholder Forums in each pilot supported needs identification, co-creation and adoption planning: MSF1: local needs, data gaps, priorities; MSF2: scenario validation and refinement; MSF3: usability feedback and future governance. A policy and governance assessment identified barriers and enablers for digital water transformation and produced nine recommendations to support WDME uptake across Europe.
WP3 – WDME development: A modular, scalable architecture was delivered, covering the full data lifecycle: acquisition, harmonisation, validation, FAIRness assessment, analytics, visualisation and publication. Over 30 tools were integrated into a unified operational environment deployed across six pilots. The no-code Data Preparation Pipeline Editor enabled workflow orchestration. Blockchain-based provenance, identity management and cybersecurity services ensured trusted, secure data exchange and sovereignty.
WP4 – Operationalising FAIR data: A sector-aligned FAIR framework was introduced. The FAIR Implementation Profile was refined, Smart Data Models and DCAT-AP were extended with FAIR attributes, and FAIR Digital Objects adopted to ensure persistent, machine-actionable entities across datasets and services. 18 FAIR services enabled metadata validation, semantic harmonisation and FAIRness scoring. FAIR Data Management Plans and tools, including MQA, MELODA5 and FAIR Maturity Models delivered measurable improvements in metadata quality and interoperability. WATERVERSE established itself as a European reference for FAIR water data and a foundation for future Water Data Spaces.
WP5 – Deployment, demonstration & impact: The WDME was deployed and iteratively validated in 6 real operational environments (SCADA, telemetry, water-management platforms), demonstrating diverse use cases: Water quality prediction (NL); Flood-risk digital twin (DE); Water digital twin integration (CY); CSO monitoring and management (UK); Integrated water-cycle supervision (SP); Smart risk management (FI). Helpdesk support, webinars, tutorials and a knowledge base enabled adoption. Impact assessment confirmed strong usability and added value of the WDME, with major operational, economic, environmental and social benefits.
WP6 – Communication, clustering, standardisation & exploitation: WATERVERSE built strong European visibility through newsletters, videos, policy briefs, website, webinars and social media. The consortium engaged in major clustering and events, and contributed to standardisation activities in ETSI, DCAT-AP and Smart Data Models, advancing NGSI-LD and catalogue interoperability.
A comprehensive business plan and sustainability roadmap defined exploitable assets, commercial pathways (including Ecosystem-as-a-Service, licensing, consultancy), IPR frameworks and governance models. All assets were mapped and ownership validated in a complete IPR register. A multilayer business model distinguishes open, shared and commercial service offerings. The strategy identifies short-term partner exploitation, mid-term scaling via European Data Spaces and long-term sustainability through innovation clusters and standardisation, ensuring WDME is market-ready and operational beyond the project’s lifetime.
The Water Data Management Ecosystem (WDME) is a modular, FAIR-by-design, interoperable digital ecosystem that manages the complete water data lifecycle—collection, processing, harmonisation, sharing, analytics, and open publication. Integrating 30+ tools validated across six European pilots, it serves as both an operational platform and a reference architecture for future water data spaces. WDME tackles fragmented systems, non-standard semantics, manual workflows, poor interoperability, and high integration costs. Its innovation lies in unifying interoperable data ingestion, semantic harmonisation, FAIR services, advanced processing pipelines, cybersecurity, provenance, and domain-specific analytics within a vendor-neutral, standards-aligned ecosystem. Primary beneficiaries include water utilities, authorities, regulators, digital service providers, environmental agencies, and data space stakeholders. WDME delivers a scalable solution that harmonises data, automates workflows, enables predictive analytics, supports open data, and ensures secure, governed operations—accelerating digital transformation even in low-maturity organisations. Deployable as a service, on-premise, or modular configurations, it scales from small utilities to national data infrastructures. Validated at TRL 7–8, it reduces integration costs, improves efficiency, strengthens resilience, enables FAIR/open-data compliance, and provides a foundation for future European Water and Environment Data Spaces.