Hilary I. Palevsky, Boston College
Sophie Clayton, Old Dominion UniversityFollow
Heather Benway, Woods Hole Oceanographic Institution
Mairead Maheigan, Woods Hole Oceanographic Institution
Dariia Atamanchuk, Dalhousie University
Roman Battisi, Pacific Marine Environmental Laboratory
Jennifer Batryn, Woods Hole Oceanographic Institution
Annie Bourbonnais, University of South Carolina
Ellen M. Briggs, University of Hawaii at Manoa
Filipa Carvalho, National Oceanography Centre
Alison P. Chase, University of Washington
Rachel Eveleth, Oberlin College
Rob Fatland, University of Washington
Kristen E. Fogaren, Boston College
Jonathan Peter Fram, Oregon State University
Susan E. Hartman, National Oceanography Center
Isabela Le Bras, Woods Hole Oceanographic Institution
Cara C. M. Manning, University of Connecticut
Joseph A. Needoba, Oregon Health and Science University
Merrie Beth Neely, University of Victoria
Hilde Oliver, Woods Hole Oceanographic Institution
Andrew C. Reed, Woods Hole Oceanographic Institution
Jennie E. Rheuban, Woods Hole Oceanographic Institution
Christina Schallenberg, Commonwealth Scientific and Industrial Research Organisation
Ian Walsh, Independent Researcher
Christopher Wingard, Oregon State University
Kohen Bauer, University of Victoria
Baoshen Chen, Stony Brook University
Jose Cuevas, Boston College
Susana Flecha, Instituto Mediterráneo de Estudios Avanzados
Micah Horwith, Washington State Department of Ecology
Melissa Melendez, University of Hawaii, Manoa
Tyler Menz, Stony Brook University
Sara Rivero-Calle, University of Georgia
Nicholas P. Roden, Norwegian Institute for Water Research
Tobias Steinhoff, NORCE Norwegian Research Center
Paulo Nicolás Trucco-Pignata, National Oceanography Center
Michael F. Vardaro, University of Washington
Meg Yoder, Boston College

Document Type


Publication Date




Publication Title

Frontiers in Marine Science




1358591 (1-9)


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.


© 2024 Palevsky, Clayton, Benway, Maheigan, Atamanchuk, Battisti, Batryn, Bourbonnais, Briggs, Carvalho, Chase, Eveleth, Fatland, Fogaren, Fram, Hartman, Le Bras, Manning, Needoba, Neely, Oliver, Reed, Rheuban, Schallenberg, Walsh, Wingard, Bauer, Chen, Cuevas, Flecha, Horwith, Melendez, Menz, Rivero-Calle, Roden, Steinhoff, Trucco-Pignata, Vardaro and Yoder.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Data Availability

Article states: "The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors."


A perspective article.

Original Publication Citation

Palevsky, H. I., Clayton, S., Benway, H., Maheigan, M., Atamanchuk, D., Battisti, R., Batryn, J., Bourbonnais, A., Briggs, E. M., Carvalho, F., Chase, A. P., Eveleth, R., Fatland, R., Fogaren, K. E., Fram, J. P., Hartman, S. E., Le Bras, I., Manning, C. C. M., Needoba, J. A., . . . Yoder, M. (2024). A model for community-driven development of best practices: The Ocean Observatories Initiative Biogeochemical Sensor Data Best Practices and User Guide. Frontiers in Marine Science, 11, 1-9, Article 1358591.


0000-0001-7473-4873 (Clayton)

Included in

Oceanography Commons