OneWater4all platform and ecosystem: where VRE meets FAIR international standards

In France, the national research and innovation program ‘OneWater - Eau Bien Commun’ (2022-2032) addresses a wide range of key scientific issues to help protect and manage water as a common good. Made up of several projects that will generate a large amount of highly heterogeneous data, ranging from sensor data to social science data, samples and model-based data. It will also draw on data describing the state of water resources produced by observatories, living labs, research infrastructures and national public monitoring services.

Not all data is yet available according to FAIR principles. To process, share and re-use these heterogeneous datasets and ultimately generate new knowledge, the ‘OneWater FAIR Water Platform’ ambitions to go beyond a simple data catalog by fostering a FAIR Water ecosystem based on international standards and implementing semantic web interoperability producing FAIR compliant data by DNA.

The OneWater FAIR platform is fully integrated in the national research data ecosystem on earth and its environment, which relies on the DataTerra Research Infrastructure and its data hubs such as Theia/OZCAR. Collaboration with the services supporting national public policy data and associated monitoring networks is being organized. At the international level, connection with the community is established so that the OneWater initiative can contribute to and benefit from the FAIR Water community. This includes the OGC Hydrology Domain Working Group (OGC HydroDWG), WMO, UN bodies (UNEP, UNESCO IGRAC), DANUBIUS, eLTER RIs, TERENO and the Water4all partnership amongst others.

The OneWater data project does not only address data and information technology needs but is also committed to supporting the water community through an ecosystem building on open international standards, their open-source implementation and resource people. It also builds on a national overview of water data use practices, tools and obstacles for both researchers and operational stakeholders to reach FAIR. This will allow to train and support the community so that the tools traditionally used evolve towards FAIR practices.

This communication will present the approach being implemented in the OneWater Data Platform project and its first results.

1/ The definition of how to reach a high FAIRness level within the water community in the light of the existing international standards and best practices (OGC, W3C, INSPIRE, RDA) with the target to produce FAIR Implementation Profiles (FIP).

2/ The produced FAIRness analysis templates for various numerical resources and their application on datasets from the community progressively enriching the FAIRness of the overall ecosystem.

3/ OneWater's FAIR platform mixing

-   well-known and most recent interoperability standards and best practices and their open-source implementations.

-          with the community proven Virtual Research Environment (VRE) lGalaxy and Jupyter Notebook

4/ End-to-end use cases that are already implemented and the methodology to include new ones

5/ The training programme being set up