<p>Although there has been great acceptance across disciplines for years to make research data FAIR (findable, accessible, interoperable, and reusable), there is still no consensus in most communities on how to implement this concretely on a discipline-specific basis. Available metrics are exclusively domain agnostic, and there are few approaches to formulate binding metrics and tests specifically for particular domains  (e.g. earth and environmental science disciplines) and to implement them in assessment tools.</p> <p>In this presentation, we will introduce new approaches being developed in the FAIR-IMPACT project, based on domain specific use case partners and their communities, including those from the earth and environmental sciences (e.g. collaboration with the communities involved in the FAIR-EASE project), to extend and thus adapt existing FAIR metrics for assessing data objects and the F-UJI FAIR Assessment Tool to more fully incorporate the disciplinary, 'geo' context. A particular focus here will be on incorporating geo-specific metadata standards, covering data formats and semantic artefacts  within FAIR metrics, and the detection or verification of these standards by the F-UJI FAIR Assessment Tool.</p> <div> <div class="gmail_quote"> <div> <div><span id="m_-7117176726293104618m_5243382372259041045docs-internal-guid-24204e68-7fff-f9ce-6d1e-64ab505666c7">We will finally report also on the collaboration with one of the EIDA Data Centers (as part of the European Infrastructure for seismic waveform data in EPOS) where the F-UJI FAIR Assessment Tool has been further developed to be aware of the very domain specific standard data and metadata as well as services. </span></div> </div> </div> </div>

<p>The consequences of global change on the ocean are multiple such as increase in temperature and sea level, stronger storms, deoxygenation, impacts on ecosystems. But the detection of changes and impacts is still difficult because of the diversity and variability of marine environments. While there has been a clear increase in the number of marine and coastal observations, whether by <em>in situ</em>, laboratory or remote sensing measurements, each data is both costly to acquire and unique. The number and variety of data acquisition techniques require efficient methods of improving data availability via interoperable portals, which facilitate data sharing according to FAIR principles for producers and users. ODATIS, the ocean cluster of Data Terra, the French research infrastructure for Earth data, is the entry point to access all the French Ocean observation data (Ocean Data Information and Services ; www.odatis-ocean.fr/en/). The first challenge of ODATIS is to get data producers to share data. To that purpose, ODATIS offers several services to help them define Data Management Plan (DPM), implement the FAIR principles, make data more visible and accessible by being referenced in the ODATIS catalog, and better tracked and cited through a Digital Object Identifier (DOI). ODATIS also offers a service for publishing open scientific data on the sea, through SEANOE (www.seanoe.org) that provides a DOI that can be cited in scientific articles in a reliable and sustainable way. In parallel to the informatic development of the ocean cluster, further communication and training are needed to inform the research community of these new tools. Through technical workshops, Odatis offers data providers practical experience and support in implementing data access, visualization and processing services. Finally, ODATIS relies on scientific consortia in order to promote and develop innovative processing methods and products for remote, airborne, or <em>in situ</em> observations of the ocean and its interfaces (atmosphere, coastline, seafloor) with the other clusters of the RI Data Terra.</p>