Smith Leslie M.

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Leslie M.

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  • Article
    The Ocean Observatories Initiative
    (The Oceanography Society, 2018-02-09) Smith, Leslie M. ; Barth, John A. ; Kelley, Deborah S. ; Plueddemann, Albert J. ; Rodero, Ivan ; Ulses, Greg A. ; Vardaro, Michael F. ; Weller, Robert A.
    The Ocean Observatories Initiative (OOI) is an integrated suite of instrumented platforms and discrete instruments that measure physical, chemical, geological, and biological properties from the seafloor to the sea surface. The OOI provides data to address large-scale scientific challenges such as coastal ocean dynamics, climate and ecosystem health, the global carbon cycle, and linkages among seafloor volcanism and life. The OOI Cyberinfrastructure currently serves over 250 terabytes of data from the arrays. These data are freely available to users worldwide, changing the way scientists and the broader community interact with the ocean, and permitting ocean research and inquiry at scales of centimeters to kilometers and seconds to decades.
  • Article
    The Deep Ocean Observing Strategy: addressing global challenges in the deep sea through collaboration
    (Marine Technology Society, 2022-06-08) Smith, Leslie M. ; Cimoli, Laura ; LaScala-Gruenewald, Diana ; Pachiadaki, Maria G. ; Phillips, Brennan T. ; Pillar, Helen R. ; Stopa, Justin ; Baumann-Pickering, Simone ; Beaulieu, Stace E. ; Bell, Katherine L. C. ; Harden-Davies, Harriet ; Gjerde, Kristina M. ; Heimbach, Patrick ; Howe, Bruce M. ; Janssen, Felix ; Levin, Lisa A. ; Ruhl, Henry A. ; Soule, S. Adam ; Stocks, Karen ; Vardaro, Michael F. ; Wright, Dawn J.
    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.
  • Article
    Co-designing a multidisciplinary deep-ocean observing programme at the Mid-Atlantic Ridge in the Azores region: a blueprint for synergy in deep ocean research and conservation
    (Oxford University Press, 2022-11-02) Pachiadaki, Maria G. ; Janssen, Felix ; Carreiro-Silva, Marina ; Morato, Telmo ; Carreira, Gilberto P ; Frazão, Helena C ; Heimbach, Patrick ; Iglesias, Isabel ; Muller-Karger, Frank E ; Santos, Miguel M ; Smith, Leslie M ; Vardaro, Michael F ; Visser, Fleur ; Waniek, Joanna J ; Zinkann, Ann-Christine ; Colaço, Ana
    Under the umbrella of the Deep Ocean Observing Strategy (DOOS) and the All-Atlantic Ocean Observing System (AtlantOS), researchers at the Okeanos—University of the Azores, local stakeholders and authorities, and the deep ocean science community are adopting a co-design approach [which, as highlighted by the Global Ocean Observing System (GOOS), the co-design concept aims to combine the knowledge of diverse experts and stakeholders to create innovative approaches to meet stakeholder needs in ways beyond what could be achieved by any one of those involved working alone] to create a deep-ocean observation project to strengthen deep ocean observing capacities in accordance with users’ and societal needs. The demonstration project discussed below builds on decades of co-design in collaborative efforts in the Azores Archipelago between science, private entities, governmental institutions, and local authorities for science-based management (Santos et al., 1995). Already in the 1980s, several Marine Protected Areas (MPAs) that impose fishing limitations to promote the sustainable use of marine resources were established by this collaborative effort (Santos et al., 1995). During the 2000s, the joint effort between the Regional Government of the Azores and the University of the Azores resulted in the inclusion of 11 sites in the Oslo Paris Convention for the Protection of the North Atlantic (OSPAR; MPAs’ network. This made Portugal, and particularly the Azores, a pioneer in the protection of marine biodiversity at an international level (Ribeiro, 2010), and an important progressive player in the ground-breaking OSPAR high-seas MPAs process (Abecasis et al., 2015).
  • Presentation
    FAIR Data Training for Deep Ocean Early Career Researchers: Syllabus and slide presentations
    (Woods Hole Oceanographic Institution, 2024-02-09) Beaulieu, Stace E. ; Stocks, Karen ; Smith, Leslie M.
    It is essential for our next generation of leaders in deep ocean observing to gain knowledge and skills in research data management, including how to make data FAIR - Findable, Accessible, Interoperable, and Reusable. This educational package was developed as a virtual workshop series for Deep Ocean Early career Researchers (DOERs) with content tailored for the Deep Ocean Observing Strategy (DOOS), an international network of deep ocean observing, mapping, exploration, and modeling programs endorsed as a UN Ocean Decade Programme. Modules step through the research data lifecycle, starting with 1 “Foundational Practices for FAIR Data,” 2 “Collaborating in the Research Data Lifecycle,” 3 “Best Practices in the Ocean Sciences,” and concluding with 4 “The “R” in FAIR data lifecycle: Reusable data.” This package includes the syllabus which shows the schedule for delivery of the workshop series as well as an overview of content and learning objectives. There are no prerequisites to participate in this course. The training was delivered in English; recordings were provided ahead of the virtual sessions and a live transcript was implemented during the sessions to improve accessibility.