A model for community-driven development of best practices: the Ocean Observatories Initiative Biogeochemical Sensor Data Best Practices and User Guide
Palevsky, Hilary I.; Clayton, Sophie; Benway, Heather; 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. M.; 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; Steinhoff, Tobias; Trucco-Pignata, Pablo Nicolás; Vardaro, Michael F.; Yoder, Meg
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2024Metadata
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Abstract
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.