The Oceans 2.0/3.0 Data Management and Archival System

• Published in: Frontiers in Marine Science
• Main Authors: Owens, Dwight, Abeysirigunawardena, Dilumie, Biffard, Ben, Chen, Yan, Conley, Patrick, Jenkyns, Reyna, Kerschtien, Shane, Lavallee, Tim, MacArthur, Melissa, Mousseau, Jina, Old, Kim, Paulson, Meghan, Pirenne, Benoît, Scherwath, Martin, Thorne, Michael
• Other Authors: Government of Canada, Canarie, Canada Foundation for Innovation, Natural Resources Canada, Fisheries and Oceans Canada, Transport Canada, University of Victoria
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Frontiers Media SA 2022
• Subjects: Ocean Engineering; Water Science and Technology; Aquatic Science; Global and Planetary Change; Oceanography; Arctic; Canada; Pacific; Venus
• Online Access: http://dx.doi.org/10.3389/fmars.2022.806452; https://www.frontiersin.org/articles/10.3389/fmars.2022.806452/full

The advent of large-scale cabled ocean observatories brought about the need to handle large amounts of ocean-based data, continuously recorded at a high sampling rate over many years and made accessible in near-real time to the ocean science community and the public. Ocean Networks Canada (ONC) commenced installing and operating two regional cabled observatories on Canada’s Pacific Coast, VENUS inshore and NEPTUNE offshore in the 2000s, and later expanded to include observatories in the Atlantic and Arctic in the 2010s. The first data streams from the cabled instrument nodes started flowing in February 2006. This paper describes Oceans 2.0 and Oceans 3.0 , the comprehensive Data Management and Archival System that ONC developed to capture all data and associated metadata into an ever-expanding dynamic database. Oceans 2.0 was the name for this software system from 2006–2021; in 2022, ONC revised this name to Oceans 3.0, reflecting the system’s many new and planned capabilities aligning with Web 3.0 concepts. Oceans 3.0 comprises both tools to manage the data acquisition and archival of all instrumental assets managed by ONC as well as end-user tools to discover, process, visualize and download the data. Oceans 3.0 rests upon ten foundational pillars: (1) A robust and stable system architecture to serve as the backbone within a context of constant technological progress and evolving needs of the operators and end users; (2) a data acquisition and archival framework for infrastructure management and data recording, including instrument drivers and parsers to capture all data and observatory actions, alongside task management options and support for data versioning; (3) a metadata system tracking all the details necessary to archive Findable, Accessible, Interoperable and Reproducible (FAIR) data from all scientific and non-scientific sensors; (4) a data Quality Assurance and Quality Control lifecycle with a consistent workflow and automated testing to detect instrument, data and network issues; (5) a data product ...