eCite Digital Repository

Ocean FAIR data services

Citation

Tanhua, T and Pouliquen, S and Hausman, J and O'Brien, K and Bricher, P and de Bruin, T and Buck, JJH and Burger, EF and Carval, T and Casey, KS and Diggs, S and Giorgetti, A and Glaves, H and Harscoat, V and Kincade, D and Muelbert, JH and Novellino, A and Pfeil, B and Pulsifer, PL and Van de Putte, A and Robinson, E and Schaap, D and Smirnov, A and Smith, N and Snowden, D and Spears, T and Stall, S and Tacoma, M and Thijsse, P and Tronstad, S and Vandenberghe, T and Wengren, M and Wyborn, L and Zhao, Z, Ocean FAIR data services, Frontiers in Marine Science, 6, (AUG) Article 440. ISSN 2296-7745 (2019) [Refereed Article]


Preview		PDF
2Mb		  

Copyright Statement

Copyright 2019 Tanhua, Pouliquen, Hausman, O’Brien, Bricher, de Bruin, Buck, Burger, Carval, Casey, Diggs, Giorgetti, Glaves, Harscoat, Kinkade, Muelbert, Novellino, Pfeil, Pulsifer, Van de Putte, Robinson, Schaap, Smirnov, Smith, Snowden, Spears, Stall, Tacoma, Thijsse, Tronstad, Vandenberghe, Wengren, Wyborn and Zhao. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3389/fmars.2019.00440

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.

Item Details

Item Type:Refereed Article
Keywords:FAIR data principles, ocean, data management, data services, ocean observing, standardization, interoperability
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Oceanography not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Bricher, P (Dr Pip Bricher)
ID Code:135073
Year Published:2019
Web of Science® Times Cited:40
Deposited By:Oceans and Cryosphere
Deposited On:2019-09-26
Last Modified:2020-12-18
Downloads:17 View Download Statistics

Repository Staff Only: item control page