Gathering and disseminating data on French lakes (DataECLA)
References
- Merkel, D. (2014). Docker: Lightweight Linux containers for consistent development and deployment. Linux Journal, 239(2). https://www.linuxjournal.com/content/docker-lightweight-linux-containers-consistent-development-and-deployment
- Sharaf, N.,Prats, J., Reynaud, N., Tormos, T., Bruel, R., Peroux, T. & Danis, P. A. (2023). A long-term dataset of simulated epilimnion and hypolimnion temperatures in 401 French lakes (1959–2020). Earth System Science Data, 15(12), 5631–5650. https://doi.org/10.5194/essd-15-5631-2023
- Tormos, T., Reynaud, N. (2026). Panorama des réseaux de surveillance des plans d’eau en France. Sciences Eaux & Territoires, (51), article 9935. https://doi.org/10.20870/Revue-SET.2026.51.9935
Abstract
The DataECLA platform (Data on Lake Ecosystems) was developed by the ECLA R&D Cluster (Lake Ecosystems Research and Development Cluster) to address the growing challenges of centralizing, making accessible, and leveraging data on French lakes. Compliant with European standards (INSPIRE, Open Data Directive) and the FAIR principles (Findable, Accessible, Interoperable, Reusable), DataECLA relies exclusively on open-source software solutions (GeoNetwork, GeoServer, GeoCMS, Dash, etc.). It offers interactive and customizable web access to metadata, maps, graphs, and dashboards, while enabling direct connection from specialized software via standardized feeds (OGC). In addition to data resulting from the implementation of the Water Framework Directive (WFD), the platform is gradually integrating datasets from research, remote sensing, and other national networks. A true tool for structuring knowledge, DataECLA promotes the circulation of scientific knowledge and supports public policies for biodiversity protection.