Batryn Jennifer

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Batryn
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  • Article
    A model for community-driven development of best practices: The Ocean Observatories Initiative biogeochemical sensor data best practices and user guide
    (Frontiers Media, 2024-04-03) Palevsky, Hilary I. ; Clayton, Sophie A. ; Benway, Heather M. ; Maheigan, Mairead ; Atamanchuk, Dariia ; Battisti, Roman ; Batryn, Jennifer ; Bourbonnais, Annie ; Briggs, Ellen M. ; Carvalho, Filipa ; Chase, Alison P. ; Eveleth, Rachel ; Fatland, Rob ; Fogaren, Kristen E. ; Fram, Jonathan Peter ; Hartman, Susan E. ; Le Bras, Isabela ; Manning, Cara C. ; Needoba, Joseph A. ; Neely, Merrie Beth ; Oliver, Hilde ; Reed, Andrew C. ; Rheuban, Jennie E. ; Schallenberg, Christina ; Walsh, Ian ; Wingard, Christopher ; Bauer, Kohen ; Chen, Baoshan ; Cuevas, Jose ; Flecha, Susana ; Horwith, Micah ; Melendez, Melissa ; Menz, Tyler ; Rivero-Calle, Sara ; Roden, Nicholas P. ; Steinhoff, Tobias ; Trucco-Pignata, Pablo Nicolas ; Vardaro, Michael F. ; Yoder, Meg
    The field of oceanography is transitioning from data-poor to data-rich, thanks in part to increased deployment of in-situ platforms and sensors, such as those that instrument the US-funded Ocean Observatories Initiative (OOI). However, generating science-ready data products from these sensors, particularly those making biogeochemical measurements, often requires extensive end-user calibration and validation procedures, which can present a significant barrier. Openly available community-developed and -vetted Best Practices contribute to overcoming such barriers, but collaboratively developing user-friendly Best Practices can be challenging. Here we describe the process undertaken by the NSF-funded OOI Biogeochemical Sensor Data Working Group to develop Best Practices for creating science-ready biogeochemical data products from OOI data, culminating in the publication of the GOOS-endorsed OOI Biogeochemical Sensor Data Best Practices and User Guide. For Best Practices related to ocean observatories, engaging observatory staff is crucial, but having a “user-defined” process ensures the final product addresses user needs. Our process prioritized bringing together a diverse team and creating an inclusive environment where all participants could effectively contribute. Incorporating the perspectives of a wide range of experts and prospective end users through an iterative review process that included “Beta Testers’’ enabled us to produce a final product that combines technical information with a user-friendly structure that illustrates data analysis pipelines via flowcharts and worked examples accompanied by pseudo-code. Our process and its impact on improving the accessibility and utility of the end product provides a roadmap for other groups undertaking similar community-driven activities to develop and disseminate new Ocean Best Practices.