dc.contributor.author | Owens, Dwight | |
dc.contributor.author | Abeysirigunawardena, Dilumie | |
dc.contributor.author | Biffard, Ben | |
dc.contributor.author | Chen, Yan | |
dc.contributor.author | Conley, Patrick | |
dc.contributor.author | Jenkyns, Reyna | |
dc.contributor.author | Kerschtien, Shane | |
dc.contributor.author | Lavallee, Tim | |
dc.contributor.author | MacArthur, Melissa | |
dc.contributor.author | Mousseau, Jina | |
dc.contributor.author | Old, Kim | |
dc.contributor.author | Paulson, Meghan | |
dc.contributor.author | Pirenne, Benoît | |
dc.contributor.author | Scherwath, Martin | |
dc.contributor.author | Thorne, Michael | |
dc.date.accessioned | 2023-03-03T20:55:47Z | |
dc.date.available | 2023-03-03T20:55:47Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Owens, D.,
Abeysirigunawardena, D., Biffard, B.,
Chen, Y., Conley, P., Jenkyns, R.,
et al (2022) The Oceans
2.0/3.0 Data Management
and Archival System.
Frontiers in Marine Science, 9:806452, 33pp.
DOI: https://doi.org/10.3389/fmars.2022.806452 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2151 | |
dc.description.abstract | 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 enduser
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 pipeline ensuring the data are served
in a wide variety of standard formats; (6) data discovery and access tools, both
generalized and use-specific, allowing users to find and access data of interest; (7)
an Application Programming Interface that enables scripted data discovery and access;
(8) capabilities for customized and interactive data handling such as annotating videos
or ingesting individual campaign-based data sets; (9) a system for generating persistent
data identifiers and data citations, which supports interoperability with external data
repositories; (10) capabilities to automatically detect and react to emergent events such
as earthquakes. With a growing database and advancing technological capabilities,
Oceans 3.0 is evolving toward a future in which the old paradigm of downloading
packaged data files transitions to the new paradigm of cloud-based environments for
data discovery, processing, analysis, and exchange. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Persistent identifiers | en_US |
dc.title | The Oceans 2.0/3.0 Data Management and Archival System. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 33pp. | en_US |
dc.identifier.doi | https://doi.org/10.3389/fmars.2022.806452 | |
dc.subject.parameterDiscipline | Cross-discipline | en_US |
dc.subject.dmProcesses | Data quality control | en_US |
dc.subject.dmProcesses | Data quality management | en_US |
dc.subject.dmProcesses | Data citation | en_US |
dc.subject.dmProcesses | Data archival/stewardship/curation | en_US |
dc.bibliographicCitation.title | Frontiers in Marine Science | en_US |
dc.bibliographicCitation.volume | 9 | en_US |
dc.bibliographicCitation.issue | Article 806452 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.maturitylevel | Mature | en_US |
dc.description.adoption | Validated (tested by third parties) | en_US |
dc.description.adoption | Organisational | en_US |
dc.description.adoption | National | en_US |
dc.description.methodologyType | Reports with methodological relevance | en_US |
obps.contact.contactname | Dwight Owens | |
obps.contact.contactemail | dwowens@uvic.ca | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fmars.2022.806452/ | |