Data management and interactive visualizations for the evolving marine biodiversity observation network

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computación
dc.contributor.authorBenson, Abigail
dc.contributor.authorMurray, Tylar
dc.contributor.authorTriñanes Fernández, Joaquín Ángel
dc.contributor.authordeWitt, Lynn M.
dc.date.accessioned2026-01-16T09:23:25Z
dc.date.available2026-01-16T09:23:25Z
dc.date.issued2021-06
dc.description.abstractAssessing the current state of and predicting change in the ocean’s biological and ecosystem resources requires observations and research to safeguard these valuable public assets. The Marine Biodiversity Observation Network (MBON) partnered with the Global Ocean Observing System Biology and Ecosystems Panel and the Ocean Biodiversity Information System to address these needs through collaboration, data standardization, and data sharing. Here, we describe the generalized MBON data processing flow, which includes several steps to ensure that data are findable, accessible, interoperable, and reusable. By following this flow, data collected and managed by MBON have contributed to our understanding of the Global Ocean Observing System Essential Ocean Variables and demonstrated the value of web-based, interactive tools to explore and better understand environmental change. Although the MBON’s generalized data processing flow is already in practice, work remains in building ontologies for biological concepts, improving processing scripts for data standardization, and speeding up the data collection-to-sharing timeframe
dc.description.peerreviewedSI
dc.description.sponsorshipJT was funded by the NOAA Atlantic Oceanographic and Meteorological Laboratory and NOAA OceanWatch, and by the University of Miami’s Cooperative Institute for Marine and Atmospheric Studies [Award #NA15OAR4320064]
dc.identifier.citationBenson, Abigail, Tylar Murray, Gabrielle Canonico, Enrique Montes, Frank E. Muller-Karger, Maria T. Kavanaugh, Joaquin Trinanes, and Lynn M. Dewitt. "DATA MANAGEMENT AND INTERACTIVE VISUALIZATIONS." Oceanography 34, no. 2 (2021): 130-141.
dc.identifier.doi10.5670/oceanog.2021.220
dc.identifier.essn2377-617X
dc.identifier.urihttps://hdl.handle.net/10347/45214
dc.issue.number2
dc.journal.titleOceanography
dc.language.isoeng
dc.page.final141
dc.page.initial130
dc.publisherOceanography Society
dc.relation.publisherversionhttps://doi.org/10.5670/oceanog.2021.220
dc.rightsThis is an open access article made available under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format as long as users cite the materials appropriately, provide a link to the Creative Commons license, and indicate the changes that were made to the original content. Images, animations, videos, or other third-party material used in articles are included in the Creative Commons license unless indicated otherwise in a credit line to the material. If the material is not included in the article’s Creative Commons license, users will need to obtain permission directly from the license holder to reproduce the material.
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectOcean’s biological and ecosystem resources
dc.subjectData Management
dc.subjectObservations
dc.subjectEvolving Marine Biodiversity Observation Network
dc.titleData management and interactive visualizations for the evolving marine biodiversity observation network
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number34
dspace.entity.typePublication
relation.isAuthorOfPublicationf3ae8b69-c8bc-44a7-a47c-2061d38f1d89
relation.isAuthorOfPublication.latestForDiscoveryf3ae8b69-c8bc-44a7-a47c-2061d38f1d89

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