Publication Date:
2022-10-11
Description:
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Smith, L., Cimoli, L., LaScala-Gruenewald, D., Pachiadaki, M., Phillips, B., Pillar, H., Stopa, J., Baumann-Pickering, S., Beaulieu, S., Bell, K., Harden-Davies, H., Gjerde, K., Heimbach, P., Howe, B., Janssen, F., Levin, L., Ruhl, H., Soule, A., Stocks, K., Vardaro, M.F., Wright, D. The Deep Ocean Observing Strategy: addressing global challenges in the deep sea through collaboration. Marine Technology Society Journal, 56(3), (2022): 50–66, https://doi.org/10.4031/mtsj.56.3.11.
Description:
The Deep Ocean Observing Strategy (DOOS) is an international, community-driven initiative that facilitates collaboration across disciplines and fields, elevates a diverse cohort of early career researchers into future leaders, and connects scientific advancements to societal needs. DOOS represents a global network of deep-ocean observing, mapping, and modeling experts, focusing community efforts in the support of strong science, policy, and planning for sustainable oceans. Its initiatives work to propose deep-sea Essential Ocean Variables; assess technology development; develop shared best practices, standards, and cross-calibration procedures; and transfer knowledge to policy makers and deep-ocean stakeholders. Several of these efforts align with the vision of the UN Ocean Decade to generate the science we need to create the deep ocean we want. DOOS works toward (1) a healthy and resilient deep ocean by informing science-based conservation actions, including optimizing data delivery, creating habitat and ecological maps of critical areas, and developing regional demonstration projects; (2) a predicted deep ocean by strengthening collaborations within the modeling community, determining needs for interdisciplinary modeling and observing system assessment in the deep ocean; (3) an accessible deep ocean by enhancing open access to innovative low-cost sensors and open-source plans, making deep-ocean data Findable, Accessible, Interoperable, and Reusable, and focusing on capacity development in developing countries; and finally (4) an inspiring and engaging deep ocean by translating science to stakeholders/end users and informing policy and management decisions, including in international waters.
Description:
Funding for the DOOS comes from the U.S. National Science Foundation AccelNet program, Award #2114717.
Keywords:
FAIR data principles
;
deep ocean
;
multi-disciplinary
;
ocean observing
;
science policy and planning
Repository Name:
Woods Hole Open Access Server
Type:
Article
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