Abstract
The past few decades have seen a marked acceleration in the amount of marine observation data derived using both in situ and remote sensing measurements. For example, high-frequency monitoring of key physical-chemical parameters has become an essential tool for assessing natural and human-induced changes in coastal waters as well as their consequences on society. The number and variety of data acquisition techniques require efficient methods of improving data availability. The challenge is to make ocean data available via interoperable portals, which facilitate data sharing according to Findable, Accessible, Interoperable, and Reusable (FAIR) principles for producers and users. Ocean DAta Information and Services (ODATIS) aims to become a unique gateway to all French marine data, regardless of the discipline (e.g., physics, chemistry, biogeochemistry, biology, sedimentology). ODATIS is the ocean cluster of the Data Terra research infrastructure for Earth data, which relies on a network of data and service centers (DSC) supported by the major French oceanic research organizations (CNRS, CNES, Ifremer, IRD, SHOM; Marine Universities). ODATIS, through its components, is involved in European and international initiatives such as Copernicus, SeaDataCloud, and EMODnet. The first challenge of ODATIS is to catalog all open ocean and coastal data and facilitate data collection and access (discovery, visualization, extraction) through its web portal. A specific task is to develop tools for handling large amounts of data and generate products for policymakers, practitioners, and academics. This study presents the strategy used by ODATIS to implement the FAIR and CoreTrustSeal requirements in each of its DSCs and promote adherence within the scientific community (the main data producer) regarding the upload and/or use of data and suggestion of new products. A second challenge is to cover the end-user needs ranging from proximity to the producer to cross-analysis of data from all Earth compartments. This involves defining and organizing a classification of DSCs in the network, which will be developed within the framework of the French Data Terra research infrastructure, the only framework capable of providing the necessary IT and human resources.
Highlights
The signs of global change are undeniable, and there is a critical need to better understand and forecast the impacts for Earth and its inhabitants
We define a classification system of data and service centers (DSCs) to optimize human and IT costs with respect to the services offered to users
The aim of this study was to provide information on the structure of ODATIS, the Data Terra cluster dedicated to French open ocean and coastal data, which could serve as a guideline for future national or thematic data repositories
Summary
The signs of global change are undeniable, and there is a critical need to better understand and forecast the impacts for Earth and its inhabitants. The ongoing and expected consequences of global change on the ocean are numerous: rising temperatures and sea levels, stronger storms, acidification, marine heatwaves, deoxygenation, and impacts on ecosystems (e.g., Levin and Le Bris, 2015; Breitburg et al, 2018; Smale et al, 2019). Identifying these impacts and changes is still difficult because of the large variability of the environment and limited availability of data. The number and variety of data acquisition techniques require effective tools to ensure that such large volumes of data are available to and usable by the research community and stakeholders
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
