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The UN Decade has called on the international community to partner around common ocean science priorities to address ten Ocean Decade Challenges related to knowledge gaps, essential infrastructure, capacity development, and behavior change. While increased ocean monitoring is necessary for informing policy and mitigation planning to protect our oceans, current monitoring efforts are hampered by high costs and labor requirements, as well as non-standardized methodologies that impair the timely creation of global datasets on ocean health.
With financial support from The Commonwealth Blue Charter Project Incubator, the European project JERICO-S3, and the Incubator ISblue that is an interdisciplinary graduate school specialized in marine science and technology based in Brest,
And with the active help of the international “Coastal Observations Laboratory in a Box (COLaB)” and “Global Eutrophication Monitoring in a Box (GEM-in-a-Box)” task teams,
-Ifremer will host a joint technical workshop for the development of low-cost, low-barrier instrumentation kits for monitoring essential ocean variables in under-resourced countries, to be held November 13-15, 2023 in Brest, France.
The technical workshop aims to bring together experts and end users in the development of a low-cost package of open-source instruments and sensors, plus user-friendly modelling and data management tools, combined with protocols and training. The workshop will be a 3-day in-person event that will focus on the development low-cost instrumentation and user-friendly modelling tools for coastal oceanography, an easy-access data management platform, and in-person and online training strategy for end users.
- Identify low-cost instrumentation and modelling packages for coastal ocean observation
By bringing together ocean technology experts, the workshop will provide the opportunity for extensive discussion and demonstration of current and forthcoming technology for the design of optimized instrumentation packages.
- Develop a data management strategy
The anticipation of large datasets submitted by users necessitates careful planning of a data management strategy outlining procedures to ensure data interoperability, data discoverability, and data visualization methods to inform policy.
- Develop a training strategy
Successful deployment of the equipment kits will require development of a training strategy that incorporates hands-on and virtual training options that consider the diverse needs of end users globally.