Event details

Facilitating access to marine data and analytical services

The past few decades have seen a marked acceleration in the amount of marine observation data, both by using in situ measurements or remote sensing. For example, high-frequency monitoring of physical-chemical parameters (temperature, salinity, fluorescence, dissolved oxygen, among others) has become an essential tool to assess the natural and human-influenced evolutions of coastal waters, and the societal or management implications. The number and variety of acquisitions require now efficient tools to make available of the research community such large amounts of data.

ODATIS, the French portal for marine data has the ambition to become an essential tool for the marine community to describe, quantify and understand the global ocean and its evolution across disciplines: physic, chemistry, biogeochemical cycles, marine ecosystems. An easier and widespread access to marine data is indeed of crucial importance to address the Ocean Decade Challenges, in particular in coastal regions directly affected by human activities., 

The aim of the contribution of the poster will be to provide feedbacks on marine data portal, which could serve as a guideline for future national or thematic data repositories

The innovative nature of ODATIS is to develop a marine portal for data producer and users. 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. Repositories already exist all over the world; some have abundant experience but many do not fully comply with FAIR data principles. A second challenge is to develop data analysis and interpretation services. A specific task is to develop tools for handling large amounts of data and generate products for policymakers, practitioners, and academics. A last challenge is to inform and train the community. Such access to multi-source data is rather new and most colleagues are not yet used to searching and manipulating such datasets, let alone remotely.