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Go Fair Manifesto Draft GO FAIR MANIFESTO DRAFT —————————————————————— Manifesto of the Marine Data Centres GO FAIR Implementation Network Introduction: 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 and diverse sets of data derived in situ of 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 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. 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. Purpose of the Implementation Network: 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). Overarching Principle of Operation “We commit to comply with the Rules of EnGaGement of GO FAIR Implementation Networks”. Targeted Objectives for the IN: 1. Accessibility a. Promote widespread standards for API’s mediatinG machine access to data and data products 2. Interoperability a. Capture best practices in semantics for marine data, e.G. the use of FAIR vocabularies, ontologies, conceptual models and widely used knowledge exchange languages. b. Promote the use of the NERC Vocabulary Service and “rosetta stone” for building the P01 Parameter vocabulary. 3. Reusability: a. DefininG standards and identifyinG implementation options for machine- actionable data licensing. b. DefininG standards for provenance information in machine-actionable metadata for datasets and dataproducts c. IncreasinG access to machine-readable provenance information distinGuishinG between (raw) datasets (e.g. CDI) and data products (additional aggregation and processinG) i. adjusting metadata models to allow this ii. first pilot to provide this information The Primary Tasks: Task 1: Complete the execution plan & roadmap as part of the process becominG a GO FAIR Implementation Network (within first 3 months) Task 2: Stock-takinG of strenGths and weaknesses for interoperability and Reusability aspects for marine data and data products in the community Task 3: Capture best practices in semantics Task 4: Create a workinG Group for defininG standards for extended provenance information in metadata for datasets and dataproducts Task 5: ExpandinG current metadata models and vocabulary services with provenance information Task 6: CreatinG few examples of fully described datasets and dataproducts 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. Membership list: We consider this Manifesto to be one way by which the undersiGned stakeholders can speak with one voice on a number of critical issues that are of generic importance to the objectives of FAIR, and on which we feel we have reached consensus. The following SeaDataCloud partners are represented by coordinator IFREMER and technical coordinator MARIS: 1 IFREMER / SISMER - Scientific Information Systems for the SEA France 2 MARIS / Marine Information Service Netherlands 3 NERC / British OceanoGraphic Data Centre (BODC) United KinGdom 4 BSH / German OceanoGraphic DataCentre (NODC) Germany 5 SMHI / Swedish MeteoroloGical and Hydrological Institute Sweden 6 IEO / Spanish OceanoGraphic Institute (IEO) Spain 7 HCMR / Hellenic National OceanoGraphic Data Centre (HNODC) Greece 8 OGS / OGS (Istituto Nazionale di OceanoGrafia e di Geofisica Sperimentale), Division of OceanoGraphy Italy 9 RIHMI-WDC / World Data Centre (RIHMI-WDC) National OceanoGraphic Data Centre (NODC) Russian Federation 10 ENEA / ENEA Centro Ricerche Ambiente Marino Italy 11 INGV / Istituto Nazionale di Geofisica e VulcanoloGia Italy 12 METU-IMS / Institute of Marine Sciences Turkey 13 AWI / Alfred-WeGener-Institute for Polar- and Marine Research Germany 14 ULG / University of LieGe, GeoHydrodynamics and Environment Research (ULG-GHER) BelGium 15 IMR / NorweGian Marine Data Centre (NMD) Norway 16 AU-BIOS / Aarhus University - Bioscience Denmark 17 ICES / International Council for the Exploration of the Sea (ICES) Denmark 18 EU-JRC / JRC - Institute for Environment and Sustainability (IES) Italy 19 MI / Marine Institute Ireland 20 IHPT / HydroGraphic Institute PortuGal 21 NIOZ / Royal Netherlands Institute for Sea Research Netherlands 22 RBINS / BelGian Marine Data Centre (RBINS-ODNATURE-BMDC) BelGium 23 VLIZ / Flanders Marine Institute BelGium 24 MRI / Marine Research Institute Iceland 25 FMI / Finnish MeteoroloGical Institute Finland 26 IMGW / Institute of MeteoroloGy and Water ManaGement, Maritime Branch in Gdynia Poland 27 MSI / Marine Systems Institute at Tallinn University of TechnoloGy Estonia 28 LHEI / Latvian Institute of Aquatic Ecology Latvia 29 SIO-RAS / P.P.Shirshov Institute of OceanoloGy, RAS Russian Federation 30 IO-BAS / BulGarian National OceanoGraphic Data Centre(BGODC) BulGaria 31 NIMRD / National Institute for Marine Research and Development "GriGore Antipa" Romania 32 TSU-DNA / Centre of Relations with UNESCO OceanoloGical Research Centre and GeoDNA GeorGia 33 IOF / Institute of OceanoGraphy and Fisheries Croatia 34 NIB / NIBMarine BioloGy Station Slovenia 35 UOM / International Ocean Institute - Malta Operational Centre (University Of Malta) / Physical OceanoGraphy Unit Malta 36 IOLR / Israel Marine Data Center (ISRAMAR) Israel 37 CNR /ISAC - Institute of Atmospheric Sciences and Climate (Rome) CNR, Institute for atmospheric pollution (CNR - IIA) CNR, ConsiGlio Nazionale delle Ricerche - Istituto per lo Studio del MARe Italy 38 IO PAN / Institute of OceanoloGy, Polish Academy of Sciences Poland 39 CSIC / Marine TechnoloGy Unit. Mediterranean Marine and Environmental Research Centre Spain 40 Deltares Netherlands 41 SYKE / Finnish Environment Institute Finland 42 UkrSCES / Ukrainian scientific center of EcoloGy of Sea Ukraine 43 ETT S.p.a. Italy 44 EuroGOOS / EuroGOOS AISBL BelGium 45 DKRZ / The German Climate ComputinG Center Germany 46 CINECA / CINECA Italy 47 CSC / CSC - IT Center for Science Ltd. Finland 48 STFC / Science and TechnoloGy Facilities Council United KinGdom 49 GRNET / Greek Research and TechnoloGy Network Greece 50 UiB / University of BerGen Norway 51 GEOMAR / GEOMAR Helmholtz Centre for Ocean Research Kiel Germany 52 52°North / 52°North Initiative for Geospatial Open Source Software GmbH Germany 53 SHOM / Shom France 54 ORION / ORION Cyprus 55 CNRS / Mediterranean Institute of OceanoGraphy Oceanic and Continental Environments and Paleoenvironments (EPOC) CNRS / BioloGical Station of ROSCOFF France 56 UNIBO / University of BoloGna, Environmental Science, Laboratory SINCEM, Ravenna Italy Timeline: M1-3: Task 1 - Complete the execution plan & roadmap M4-6: Task 2 - Stock-takinG of strenGths and weaknesses for interoperability and Reusability aspects M6-8: Task 3 - Capture best practices in semantics M7-8: Task 4 - Create a workinG Group for defininG standards for extended provenance information in metadata for datasets and dataproducts M9-15: Task 5 - ExpandinG current metadata models and vocabulary services with provenance information M15 -18: Task 6 - CreatinG few examples of fully described datasets and dataproducts Date: January 20, 2020 .
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