Ocean FAIR Data Services

Type Article
Date 2019-08
Language English
Author(s) Tanhua Toste1, Pouliquen SylvieORCID2, Hausman Jessica3, O’brien Kevin4, Bricher Pip5, De Bruin Taco6, Buck Justin J. H.7, Burger Eugene F.8, Carval ThierryORCID2, Casey Kenneth S.9, Diggs Steve10, Giorgetti Alessandra11, Glaves Helen12, Harscoat ValerieORCID2, Kinkade Danie13, Muelbert Jose H.14, Novellino Antonio15, Pfeil Benjamin16, Pulsifer Peter L.17, Van De Putte Anton18, Robinson Erin19, Schaap Dick20, Smirnov Alexander21, Smith Neville22, Snowden Derrick23, Spears Tobias24, Stall Shelley25, Tacoma Marten6, Thijsse Peter20, Tronstad Stein26, Vandenberghe Thomas18, Wengren Micah23, Wyborn Lesley27, Zhao Zhiming28
Affiliation(s) 1 : GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
2 : IFREMER, Plouzané, France
3 : Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
4 : Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA, United States
5 : Southern Ocean Observing System, University of Tasmania, Hobart, TAS, Australia
6 : NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University, Texel, Netherlands
7 : National Oceanography Centre–British Oceanographic Data Centre, Liverpool, United Kingdom
8 : NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States
9 : NOAA National Centers for Environmental Information, Silver Spring, MD, United States
10 : Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States
11 : Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Sgonico, Italy
12 : British Geological Survey, Nottingham, United Kingdom
13 : Woods Hole Oceanographic Institution, Woods Hole, MA, United States
14 : Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, Brazil
15 : ETT, Genova, Italy
16 : Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
17 : National Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United States
18 : Royal Belgian Institute for Natural Sciences, Brussels, Belgium
19 : Earth Science Information Partners, Boulder, CO, United States
20 : MARIS Mariene Informatie Service, Voorburg, Netherlands
21 : Arctic Portal, Akureyri, Iceland
22 : GODAE Ocean Services, Melbourne, VIC, Australia
23 : U.S. Integrated Ocean Observing System, Silver Spring, MD, United States
24 : Fisheries and Oceans, Science Branch, Maritimes Region Ocean Data and Information Section, Dartmouth, NS, Canada
25 : American Geophysical Union, Washington, DC, United States
26 : Norwegian Polar Institute, Tromsø, Norway
27 : National Computational Infrastructure, Australian National University, Canberra, ACT, Australia
28 : Informatics Institute, University of Amsterdam, Amsterdam, Netherlands
Source Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2019-08 , Vol. 6 , N. 440 , P. 17p.
DOI 10.3389/fmars.2019.00440
WOS© Times Cited 17
Keyword(s) FAIR, ocean, data management, data services, ocean observing, standardization, interoperability
Abstract

Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data managers, in close collaboration with international organizations, have played an active role in the improvement of environmental data standardization, accessibility, and interoperability through different projects, enhancing access to observation data at all stages of the data life cycle and fostering the development of integrated services targeted to research, regulatory, and operational users. As ocean observing systems evolve and an increasing number of autonomous platforms and sensors are deployed, the volume and variety of data increase dramatically. For instance, there are more than 70 data catalogs that contain metadata records for the polar oceans, a situation that makes comprehensive data discovery beyond the capacity of most researchers. To better serve research, operational, and commercial users, more efficient turnaround of quality data in known formats and made available through Web services is necessary. In particular, automation of data workflows will be critical to reduce friction throughout the data value chain. Adhering to the FAIR principles with free, timely, and unrestricted access to ocean observation data is beneficial for the originators, has obvious benefits for users, and is an essential foundation for the development of new services made possible with big data technologies.

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Tanhua Toste, Pouliquen Sylvie, Hausman Jessica, O’brien Kevin, Bricher Pip, De Bruin Taco, Buck Justin J. H., Burger Eugene F., Carval Thierry, Casey Kenneth S., Diggs Steve, Giorgetti Alessandra, Glaves Helen, Harscoat Valerie, Kinkade Danie, Muelbert Jose H., Novellino Antonio, Pfeil Benjamin, Pulsifer Peter L., Van De Putte Anton, Robinson Erin, Schaap Dick, Smirnov Alexander, Smith Neville, Snowden Derrick, Spears Tobias, Stall Shelley, Tacoma Marten, Thijsse Peter, Tronstad Stein, Vandenberghe Thomas, Wengren Micah, Wyborn Lesley, Zhao Zhiming (2019). Ocean FAIR Data Services. Frontiers In Marine Science, 6(440), 17p. Publisher's official version : https://doi.org/10.3389/fmars.2019.00440 , Open Access version : https://archimer.ifremer.fr/doc/00509/62068/