Active GO FAIR Implementation Network
\n<\/b>The Marine Data Centres IN is launched by the SeaDataNet consortium, which is a community of more than 50 partners from 35 countries in and around Europe managing access to large collections of data derived in situ<\/i>\u00a0of the seas and oceans. SeaDataNet is defining and implementing standards for re-use of marine data and enables their uptake in regional, European and global products to support policy makers, science, and industry. It has set up and manages several metadata services to describe important marine resources, e.g. for Research cruises (CSR), Marine Organisations (EDMO), Marine research projects (EDMERP), and a widely used Vocabulary Services (NVS). SeaDataNet has developed two data repositories: The CDI data access infrastructure offering access to (at the moment 2.3M) harmonised distributed marine datasets, and a catalogue with SeaDataNet data products and climatologies produced by experts in the community.<\/p>\n
The IN will be open to participation and looking for synergies with other players in the same domain via EU and global initiatives like IOC-IODE, ODIP, EMODNet and more.<\/p>\n
Main purpose and objectives
\n<\/b>Main focus of the network is optimising machine-to-machine FAIRness of the harmonised marine data and data products held at the main marine data centers in Europe and beyond. Since F(indability) and A(ccesibility) are well on track, improvements will be aimed on the I(nteroperability) and R(eusability).<\/p>\n
Targeted Objectives for the IN<\/strong><\/p>\n The Primary Tasks There is a strong overlap with the ENVRIFAIR project in which several Research Infrastructures from the marine domain as represented, and where SeaDataNet represents the marine data centers. Work on these activities will be part of that project, and actual implementation choices made will be done in coordination with the wider marine community, resulting in wider uptake.<\/p>\n\n
\na. Promote widespread standards for API’s mediating machine access to data and data products.<\/li>\n
\na. Capture best practices in semantics for marine data, e.g. the use of FAIR vocabularies, ontologies, conceptual models and widely used knowledge exchange languages.
\nb. Promote the use of the NERC Vocabulary Service and “rosetta stone”\u009d for building the P01 Parameter vocabulary.<\/li>\n
\na. Defining standards and identifying implementation options for machine-actionable data licensing.
\nb. Defining standards for provenance information in machine-actionable metadata for datasets and dataproducts.
\nc. Increasing access to machine-readable provenance information distinguishing between (raw) datasets (e.g. CDI) and data products (additional aggregation and processing);\u00a0i. adjusting metadata models to allow this and\u00a0ii. develop a first pilot to provide this information.<\/li>\n<\/ol>\n
\n<\/strong>Task 1: Complete the execution plan & roadmap as part of the process becoming a GO FAIR Implementation Network (within first 3 months)
\nTask 2: Stock-taking of strengths and weaknesses for interoperability and Reusability aspects for marine data and data products in the community
\nTask 3: Capture best practices in semantics
\nTask 4: Create a working group for defining standards for extended provenance information in metadata for datasets and dataproducts
\nTask 5: Expanding current metadata models and vocabulary services with provenance information
\nTask 6: Creating few examples of fully described datasets and dataproducts<\/p>\n