Introduction WetNetBB investigates the sustainable use of rewetted peatlands in Brandenburg, with a focus on developing and evaluating biomass production systems under wet peatland conditions. The project simultaneously studies the wider environmental and societal effects of rewetting, including greenhouse gas emissions, hydrology, biodiversity, biomass utilisation, economic viability and socio-economic impacts. It brings together researchers, landowners, farmers, public authorities, policy actors and other regional stakeholders, making it interdisciplinary and multi-actor project. Data are generated across multiple sites, institutions and disciplines, using different instruments, temporal resolutions. These include long-term time-series measurements, field observations, laboratory results, spatial data, monitoring records and stakeholder- related information. As a results data is scientifically valuable, politically relevant, and contains personal information, thus subject to GDPR. This combination of long duration, inter-disciplinary scope, distributed actors and high strategic relevance makes it a data governance challenge. Data4WetNetBB addresses this challenge by strengthening structured research data management. Current activities focus on raising awareness among project partners, introducing standard operating procedures for data handling, clarifying responsibilities, mapping data flows and conducting data evaluations. These activities create the organisational foundation for a future central data management platform that can reduce data silos, improve documentation and traceability, and prepare WetNetBB data for FAIR complaint reuse. Methodologies Data4WetNetBB follows a stepwise RDM approach: mapping data flows across sites, partners and work packages, sensitising project members to structured data handling, i.e. introducing SOPs for documentation, storage, metadata, quality checks and sharing, and conducting data audits to identify risks such as silos, unclear responsibilities, undocumented datasets. The results will be used to define requirements for a future central data management system for WetNetBB. Output Current outputs include SOPs for data handling, data-flow mapping, audit feedback, and recommendations for improving documentation, storage, quality control and data sharing within WetNetBB. These activities identify risks such as data silos, unclear responsibilities, sensitive information, missing documentation and potential data loss. The planned output is a requirements-based concept for a centralised data management platform that connects multiple datasets, captures metadata, lineage and transformation history, provides a project-level overview of WetNetBB data, and ensures role-based access for sensitive data in line with privacy and GDPR requirements. Impact The use case ensures reduced risks of data loss, duplication, poor documentation and inaccessible silos through data handling SOPs, audits, and future centralized infrastructure. The expected impact is higher data quality, better traceability, easier reporting, FAIR reuse and stronger evidence for peatland management, ecosystem-service assessment and policy communication. Beyond WetNetBB, the approach can become a transferable model for data governance in complex, multi-partner monitoring projects. What I can offer A real-world testbed for data management in a long-term, multi-partner agricultural and environmental monitoring project. Practical experience with handling data challenges in a complex project environment, including SOPs, audits, documentation gaps, access rights and partner coordination. What I need Support from partners with experience in building centralised research data management platforms for multi- partner projects. Collaboration on system design, metadata models, role-based access, data lineage, and possible resources to develop a prototype or hire technical support.

Source: Annual AgData Use Case Summit 2026 booklet.