Stocks Karen

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  • Article
    SeaView : bringing together an ocean of data
    (The Oceanography Society, 2018-02-09) Stocks, Karen ; Diggs, Stephen ; Olson, Christopher ; Pham, Anh ; Arko, Robert A. ; Shepherd, Adam ; Kinkade, Danie
    The Ocean Observatories Initiative (OOI) supports a comprehensive information management system for data collected by OOI assets, providing access to a wealth of new information for scientists. But what of those wishing to access data from the region of an OOI research array that is not from OOI assets, perhaps to look at longer term trends from before the launch of OOI, or to build a larger regional context? Despite the excellent work of ocean data repositories, finding, accessing, understanding, and reformatting data for use in a desired visualization or analysis tool remains challenging, especially when data are held in multiple repositories.
  • 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
    Global observing needs in the deep ocean
    (Frontiers Media, 2019-03-29) Levin, Lisa A. ; Bett, Brian J. ; Gates, Andrew R. ; Heimbach, Patrick ; Howe, Bruce M. ; Janssen, Felix ; McCurdy, Andrea ; Ruhl, Henry A. ; Snelgrove, Paul V. R. ; Stocks, Karen ; Bailey, David ; Baumann-Pickering, Simone ; Beaverson, Chris ; Benfield, Mark C. ; Booth, David J. ; Carreiro-Silva, Marina ; Colaço, Ana ; Eblé, Marie C. ; Fowler, Ashley M. ; Gjerde, Kristina M. ; Jones, Daniel O. B. ; Katsumata, Katsuro ; Kelley, Deborah S. ; Le Bris, Nadine ; Leonardi, Alan P. ; Lejzerowicz, Franck ; Macreadie, Peter I. ; McLean, Dianne ; Meitz, Fred ; Morato, Telmo ; Netburn, Amanda ; Pawlowski, Jan ; Smith, Craig R. ; Sun, Song ; Uchida, Hiroshi ; Vardaro, Michael F. ; Venkatesan, Ramasamy ; Weller, Robert A.
    The deep ocean below 200 m water depth is the least observed, but largest habitat on our planet by volume and area. Over 150 years of exploration has revealed that this dynamic system provides critical climate regulation, houses a wealth of energy, mineral, and biological resources, and represents a vast repository of biological diversity. A long history of deep-ocean exploration and observation led to the initial concept for the Deep-Ocean Observing Strategy (DOOS), under the auspices of the Global Ocean Observing System (GOOS). Here we discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade. We consider the Essential Ocean Variables (EOVs) needed to address deep-ocean challenges within the physical, biogeochemical, and biological/ecosystem sciences according to the Framework for Ocean Observing (FOO), and map these onto scientific questions. Opportunities for new and expanded synergies among deep-ocean stakeholders are discussed, including academic-industry partnerships with the oil and gas, mining, cable and fishing industries, the ocean exploration and mapping community, and biodiversity conservation initiatives. Future deep-ocean observing will benefit from the greater integration across traditional disciplines and sectors, achieved through demonstration projects and facilitated reuse and repurposing of existing deep-sea data efforts. We highlight examples of existing and emerging deep-sea methods and technologies, noting key challenges associated with data volume, preservation, standardization, and accessibility. Emerging technologies relevant to deep-ocean sustainability and the blue economy include novel genomics approaches, imaging technologies, and ultra-deep hydrographic measurements. Capacity building will be necessary to integrate capabilities into programs and projects at a global scale. Progress can be facilitated by Open Science and Findable, Accessible, Interoperable, Reusable (FAIR) data principles and converge on agreed to data standards, practices, vocabularies, and registries. We envision expansion of the deep-ocean observing community to embrace the participation of academia, industry, NGOs, national governments, international governmental organizations, and the public at large in order to unlock critical knowledge contained in the deep ocean over coming decades, and to realize the mutual benefits of thoughtful deep-ocean observing for all elements of a sustainable ocean.
  • Article
    Rolling Deck to Repository: supporting the marine science community with data management services from academic research expeditions
    (Frontiers Media, 2022-12-08) Carbotte, Suzanne M. ; O’Hara, Suzanne ; Stocks, Karen ; Clark, P. Dru ; Stolp, Laura ; Smith, Shawn R. ; Briggs, Kristen ; Hudak, Rebecca ; Miller, Emily ; Olson, Chris J. ; Shane, Neville ; Uribe, Rafael ; Arko, Robert ; Chandler, Cynthia L. ; Ferrini, Vicki ; Miller, Stephen P. ; Doyle, Alice ; Holik, James
    Direct observations of the oceans acquired on oceanographic research ships operated across the international community support fundamental research into the many disciplines of ocean science and provide essential information for monitoring the health of the oceans. A comprehensive knowledge base is needed to support the responsible stewardship of the oceans with easy access to all data acquired globally. In the United States, the multidisciplinary shipboard sensor data routinely acquired each year on the fleet of coastal, regional and global ranging vessels supporting academic marine research are managed by the Rolling Deck to Repository (R2R, program. With over a decade of operations, the R2R program has developed a robust routinized system to transform diverse data contributions from different marine data providers into a standardized and comprehensive collection of global-ranging observations of marine atmosphere, ocean, seafloor and subseafloor properties that is openly available to the international research community. In this article we describe the elements and framework of the R2R program and the services provided. To manage all expeditions conducted annually, a fleet-wide approach has been developed using data distributions submitted from marine operators with a data management workflow designed to maximize automation of data curation. Other design goals are to improve the completeness and consistency of the data and metadata archived, to support data citability, provenance tracking and interoperable data access aligned with FAIR (findable, accessible, interoperable, reusable) recommendations, and to facilitate delivery of data from the fleet for global data syntheses. Findings from a collection-level review of changes in data acquisition practices and quality over the past decade are presented. Lessons learned from R2R operations are also discussed including the benefits of designing data curation around the routine practices of data providers, approaches for ensuring preservation of a more complete data collection with a high level of FAIRness, and the opportunities for homogenization of datasets from the fleet so that they can support the broadest re-use of data across a diverse user community.
  • 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.