D7.3 Vessels' capabilities and limitations to adopt the ARICE system

Data from the ice-covered areas of the Arctic Ocean is very scarce. To improve this situation, the ARICE project will contribute to obtaining a better picture of the ARCTIC by funding scientific cruises in the area, on board of six European and international research icebreakers. As pointed out in D...

Full description

Bibliographic Details
Main Authors: Miguel A. Ojeda, Jordi Sorribas
Format: Report
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://doi.org/10.5281/zenodo.6983112
Description
Summary:Data from the ice-covered areas of the Arctic Ocean is very scarce. To improve this situation, the ARICE project will contribute to obtaining a better picture of the ARCTIC by funding scientific cruises in the area, on board of six European and international research icebreakers. As pointed out in D7.1 “Data management plan”, ARICE will distribute datasets in model ready format and web-services interoperable to Earth Sciences platforms. It will contribute to advanced data and computing services by producing highly structured datasets compatible to the current climate and earth system modelling programmes. In order to be able to reuse data, standardization is important. This implies both standardization of the encoding/documentation, as well as the interfaces to the data. As has been summarized in the D7.2 “Report on user and stakeholder feedback on the current status of their data management and potential gaps.”, the research icebreakers involved in the ARICE project act as data creators, performing observations and sending raw data to the national data centres [.]. Primary investigators involved in ARICE surveys may also send their data and metadata to the corresponding national data centres. [.] In addition, national data centres will provide interfaces for data discovery and access, performing initial quality control, making sure that metadata are into compliance with the ISO 19115 metadata standard, transform data into interoperable formats, apply DOI and publish the complete datasets online. Such data flow has been proven by years and is considered as a robust way of transferring data from research vessels to the data storage and final users. The deliverable “D7.3 – Vessels’ capabilities and limitations to adopt the ARICE system” is the third deliverable to fulfil in the “Enhancing virtual and remote access to data” Work Package (WP7). The objective of this deliverable is to provide an analysis of the on-board infrastructure needed to implement the recommendations pointed in the D7.2 and then highlight the ...