Webinar FAIR Data Principles 2 | Making Marine Data FAIR: FAIR assessment of marine data & information
This webinar is the second in a series of three Blue-Cloud 2026 Training Academy webinars on FAIR* Data Principles.
With input by EMODnet, Copernicus Marine and several leading marine Research Infrastructures, the Horizon Europe Blue-Cloud initiative developed a collaborative web-based environment that enables open and simplified access to an unprecedented wealth of marine data resources and interoperable tools. In order to implement a technical federation, Blue-Cloud2026 is working with several Blue Data providers towards shared semantic harmonisation for facilitated discovery of blue data and data products. It does so by harmonising and expanding semantic brokerage services interacting Machine-to-Machine with web services and APIs as provided and operated by the Blue Data Infrastructures.
By federating different “blue” Research Infrastructures, Blue-Cloud is contributing to increasing the available data volume and to an easier discovery and access of blue data, open to researchers, industry and society from Europe and beyond to address issues related to climate change, food, biodiversity conservation, sustainable ocean economy, pollution and natural hazards. This approach is ultimately improving the quality of data available thanks to harmonisation, validation and qualification done in collaboration with the different BDIs, utilising best practices and standards, and assessing interoperability of the various sources as provided by each federated BDIs.
This webinar will present some of the recent examples of how Blue Data Infrastructures are working towards FAIR assessments and FAIR Implementation Profiles. It will be combined with best practices from projects and initiatives in Europe contributing to M2M semantic interoperability.
Who should attend
Researchers working at Blue data infrastructures and e-infrastructures Research institutes & Academia, Ocean observation, data and modelling institutions.
Access & download the slides from Zenodo
Watch the recording
Agenda
Tuesday 23 April 2024; 16.00 CEST
Chair: Sara Pittonet Gaiarin, Trust-IT Services and Blue-Cloud Coordinator
Time | Session | |
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16:00 - 16:10 |
Welcome & introduction Overview of the Blue-Cloud Data Federation approach |
Sara Pittonet Gaiarin, Blue-Cloud Coordinator Tjerk Krijger - Project engineer at MARIS |
Session 1: Blue-Cloud Common Metadata Profile: state of the art from Blue-Cloud federated BDIs Examples of Blue-Cloud 2026 Data Infrastructures working towards FAIR assessments and FAIR Implementation Profiles for marine data |
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16:10 - 16:20 | Making EurOBIS Biology metadata interoperable with Blue-Cloud VRE | Katrina Exter, VLIZ |
16:20 - 16:30 | EMODnet physics integration with Blue-Cloud | Antonio Novellino, ETT |
16:30 - 16:40 | EuroArgo semantic artefacts | Thierry Carval, iFremer |
Session 2: M2M Semantic interoperability in Europe Examples of other initiatives in Europe working on FAIR assessment of marine and earth science data |
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16:40 - 16:50 | FAIR EVA: Bringing institutional multidisciplinary repositories into the FAIR picture | Fernando Aguilar Gómez, CSIC - Spanish National Research Council |
16:50 - 17:00 | FAIR Connect: Open Access publishing platform of good practices for professional FAIR-Data stewardship | Barbara Magagna, GO FAIR Foundation |
17:00 - 17:10 | Setting up the EarthPortal, the ontology and vocabulary repository dedicated to Earth sciences | Guillaume ALVISET, DataTerra |
17:10 - 17:20 | Insights from EuroGoos Data Management practices | Thierry Carval, iFremer |
17:20 - 17:45 | Q&A, closure and next steps |
*About FAIR
The FAIR Guiding Principles for scientific data management and stewardship were first published in Scientific Data, 3:160018 [Wilkinson et al (2016)]. The principles apply to both data and metadata and are: Findable, Accessible, Interoperable, Reusable. They put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. In pursuit of FAIR, there is a need for increased efforts in optimisation, standardisation, best practices and harmonisation across methodologies for ocean data management, applications and digital assets
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