FN Archimer Export Format PT J TI Ocean FAIR Data Services BT AF 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 AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:8;9:2;10:9;11:10;12:11;13:12;14:2;15:13;16:14;17:15;18:16;19:17;20:18;21:19;22:20;23:21;24:22;25:23;26:24;27:25;28:6;29:20;30:26;31:18;32:23;33:27;34:28; FF 1:;2:PDG-IRSI-COA;3:;4:;5:;6:;7:;8:;9:PDG-IRSI-ISI;10:;11:;12:;13:;14:PDG-IRSI-ISI;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:; C1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany IFREMER, Plouzané, France Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA, United States Southern Ocean Observing System, University of Tasmania, Hobart, TAS, Australia NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University, Texel, Netherlands National Oceanography Centre–British Oceanographic Data Centre, Liverpool, United Kingdom NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States NOAA National Centers for Environmental Information, Silver Spring, MD, United States Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Sgonico, Italy British Geological Survey, Nottingham, United Kingdom Woods Hole Oceanographic Institution, Woods Hole, MA, United States Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, Brazil ETT, Genova, Italy Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway National Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United States Royal Belgian Institute for Natural Sciences, Brussels, Belgium Earth Science Information Partners, Boulder, CO, United States MARIS Mariene Informatie Service, Voorburg, Netherlands Arctic Portal, Akureyri, Iceland GODAE Ocean Services, Melbourne, VIC, Australia U.S. Integrated Ocean Observing System, Silver Spring, MD, United States Fisheries and Oceans, Science Branch, Maritimes Region Ocean Data and Information Section, Dartmouth, NS, Canada American Geophysical Union, Washington, DC, United States Norwegian Polar Institute, Tromsø, Norway National Computational Infrastructure, Australian National University, Canberra, ACT, Australia Informatics Institute, University of Amsterdam, Amsterdam, Netherlands C2 IFM GEOMAR, GERMANY IFREMER, FRANCE JET PROP LAB, USA UNIV WASHINGTON, USA UNIV TASMANIA, AUSTRALIA INST SEA RESEARCH (NIOZ), NETHERLANDS NOC, UK NOAA, USA NOAA, USA UNIV CALIF SAN DIEGO, USA OGS, ITALY BRITISH GEOLOGICAL SURVEY, UK WHOI, USA UNIV FED RIO GRANDE, BRAZIL ETT, ITALY BCCR, NORWAY UNIV COLORADO BOULDER, USA ROYAL BELGIAN INST NAT SCI, BELGIUM ESIP, USA MARIS BV, NETHERLANDS ARCTIC PORTAL, ICELAND GODAE OCEAN SERVICES, AUSTRALIA IOOS, USA MPO, CANADA AGU, USA NORWEGIAN POLAR INST, NORWAY UNIV AUSTRALIAN NATL, AUSTRALIA UNIV AMSTERDAM, NETHERLANDS SI BREST SE PDG-IRSI-COA PDG-IRSI-ISI IN WOS Ifremer UPR DOAJ copubli-europe copubli-int-hors-europe copubli-sud IF 5.247 TC 75 UR https://archimer.ifremer.fr/doc/00509/62068/66248.pdf LA English DT Article DE ;FAIR;ocean;data management;data services;ocean observing;standardization;interoperability AB 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. PY 2019 PD AUG SO Frontiers In Marine Science SN 2296-7745 PU Frontiers Media SA VL 6 IS 440 UT 000479073100001 DI 10.3389/fmars.2019.00440 ID 62068 ER EF