SlideShare a Scribd company logo
EPOS metadata catalogue
Daniele Bailo, Rossana Paciello, Valerio Vinciarelli
INGV - Rome
What is EPOS?
EPOS is a long-term plan for the integration
of research infrastructures for solid Earth Science in Europe
EPOS integrates the
existing (and future)
advanced European facilities
into
a single, distributed,
sustainable infrastructure
taking full advantage of new
e-science opportunities
EPOS Architecture
GovernanceGovernance
Financial WorkFinancial Work
Technical ImplementationTechnical Implementation
CommunicationCommunication
Harmonization
Communities and services
Communities and services
Communities in numbers
MAP OF:
- Seismic/GPS stations
- Laboratories
-- etc….
Diversity in data type and formats
http://www.epos-eu.org/ride/
Research Infrastructure
LIst
• 244 Research
Infrastructures
• 138 Institutions
• 22 countries
• 2272 GPS receivers
• 4939 seismic stations
• 464 TB Seismic data
• 1.095 PB Storage
capacity (seismology)
• 1.240 PB Storage
capacity (GNSS DC)
• 828 instruments in 118
Laboratories
Prototype - GUI
Generic Features
1. Download
2. Visualization
3. Processing
4. Modeling
Prototype - Architecture
Thematic Core Services
(TCS)
Integrated Core Services
(ICS)
Interoperability layer
National RIs
ICS – Integrated Core Services
Seismology RIs Geodesy RIs Volcanology RIs
WEB APIs WEB APIs WEB APIs
ICS – Integrated Core Services
Seismology RIs Geodesy RIs Volcanology RIs
WEB APIs WEB APIs WEB APIs
Metadata model
- 3-layers
- Manage the complexity
(see previous slide)
- CERIF (formal syntax,
declared semantics)
Functions
-Discovery, selection
-Impact assessment
-Manage interoperability
Issues (selection of)
- heterogeneity
- Many standards to be
mapped from TCS
- Ontologies
- Complex work
Discovery (DC, DCAT, ISO19139)
Contextual (CERIF metadata model)
Detailed (community specific)
Web portal, Spatio-Temporal Search
domain specific – data
(TCS or Naational Ris)
Elements of EPOS catalogue
Processing Model
User Model
Data Model
Resource Model
User interaction with the system:
AAAI, interaction workflow, multlinguality
functions of processing
environment
Describes research data
ICT resources
Semantics
Contextual (CERIF metadata model)
(http://www.eurocris.org/)
Common European Research Information Format
Is EPOS catalogue FAIR?
FAIR - Findability
To be findable… EPOS
F1. (meta)data are assigned a globally unique and persistent
identifier
Depends on
communities
F2. data are described with rich metadata
F3. metadata clearly and explicitly include the identifier of the
data it describes
Depends on
communities
F4. (meta) data are registered or indexed in a searchable resource
References
[FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu]
[Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016).
The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
FAIR - Accessibility
To be acessible… EPOS
A1. (meta) data are retrievable by their identifier using a
standardized communications protocol
A1.1 the protocol is open, free, and universally implementable
A1.2 the protocol allows for an authentication and authorization
procedure, where necessary
WIP
A2. metadata are accessible, even when the data are no longer
available
??
References
[FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu]
[Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016).
The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
FAIR - Interoperable
To be interoperable… EPOS
I1. (meta)data use a formal, accessible, shared, and broadly
applicable language for knowledge representation.
Difference between
MD representation and
MD exposition
I2. (meta)data use vocabularies that follow FAIR principles
WIP
I3. (meta)data include qualified references to other
(meta)data
References
[FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu]
[Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016).
The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
FAIR - Reusable
To be reusable… EPOS
R1. meta(data) are richly described with a plurality of
accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible
data usage license
R1.2. (meta)data are associated with detailed provenance
WIP
R1.3. (meta)data meet domain-relevant community
standards
References
[FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu]
[Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016).
The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
Conclusion
1. EPOS catalogue (CERIF – based) is shaped to be
FAIR
2. Much depends from the communities
3. Importance of community building action
4. Promote FAIR culture (training initiatives)
Thank You
www.epos-eu.org
WebSite
www.epos-eu.org/ride
R.I.D.E.
Newsletter
www.epos-eu.org/newsletter
Epos Social
www.epos-eu.org
TCS- Thematic Core Services
TCS system Data/metada
ta catalogue
National
network
National
repository
API / web service
Local HPC
EPOS ICS

More Related Content

What's hot

Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
BigData_Europe
 
AddressingHistory - Crowdsourcing historical data and maps
AddressingHistory - Crowdsourcing historical data and mapsAddressingHistory - Crowdsourcing historical data and maps
AddressingHistory - Crowdsourcing historical data and maps
EDINA, University of Edinburgh
 
Open Research in Ireland: Infrastructures for Open Research
Open Research in Ireland: Infrastructures for Open ResearchOpen Research in Ireland: Infrastructures for Open Research
Open Research in Ireland: Infrastructures for Open Research
dri_ireland
 
Oxford University Geospatial Metadata Workshop 20110415
Oxford University Geospatial Metadata Workshop 20110415Oxford University Geospatial Metadata Workshop 20110415
Oxford University Geospatial Metadata Workshop 20110415EDINA, University of Edinburgh
 
A Service Perspective: Unlocking metadata to enhance discoverability and conn...
A Service Perspective: Unlocking metadata to enhance discoverability and conn...A Service Perspective: Unlocking metadata to enhance discoverability and conn...
A Service Perspective: Unlocking metadata to enhance discoverability and conn...
EDINA, University of Edinburgh
 
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
EDINA, University of Edinburgh
 
ARIADNE: progress in the first nine month
ARIADNE: progress in the first nine monthARIADNE: progress in the first nine month
ARIADNE: progress in the first nine month
ariadnenetwork
 
Report on EDINA Authentication Related Academic Sector Activities
Report on EDINA Authentication Related Academic Sector ActivitiesReport on EDINA Authentication Related Academic Sector Activities
Report on EDINA Authentication Related Academic Sector Activities
EDINA, University of Edinburgh
 
Scholze liber 2015-06-25_final
Scholze liber 2015-06-25_finalScholze liber 2015-06-25_final
Scholze liber 2015-06-25_final
Karlsruhe Institute of Technology (KIT)
 
OpenAIRE – The path from OpenAIRE to EOSC in Belgium
OpenAIRE – The path from OpenAIRE to EOSC in BelgiumOpenAIRE – The path from OpenAIRE to EOSC in Belgium
OpenAIRE – The path from OpenAIRE to EOSC in Belgium
OpenAccessBelgium
 
Open science policy in flanders
Open science policy in flanders Open science policy in flanders
Open science policy in flanders
OpenAccessBelgium
 
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
Danube University Krems, Centre for E-Governance
 
re3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositoriesre3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositories
Heinz Pampel
 
Ariadne: Interoperability
Ariadne: InteroperabilityAriadne: Interoperability
Ariadne: Interoperability
ariadnenetwork
 
Towards a Linked Data Publishing Methodology
Towards a Linked Data Publishing MethodologyTowards a Linked Data Publishing Methodology
Towards a Linked Data Publishing Methodology
Danube University Krems, Centre for E-Governance
 
Ariadne update
Ariadne updateAriadne update
Ariadne update
ariadnenetwork
 
re3data.org – a Registry of Research Data Repositories
re3data.org – a Registry of Research Data Repositoriesre3data.org – a Registry of Research Data Repositories
re3data.org – a Registry of Research Data Repositories
Heinz Pampel
 
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
EUDAT
 
COBWEB technology platform and future development needs
COBWEB technology platform and future development needsCOBWEB technology platform and future development needs
COBWEB technology platform and future development needs
EDINA, University of Edinburgh
 

What's hot (20)

Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...
 
AddressingHistory - Crowdsourcing historical data and maps
AddressingHistory - Crowdsourcing historical data and mapsAddressingHistory - Crowdsourcing historical data and maps
AddressingHistory - Crowdsourcing historical data and maps
 
Open Research in Ireland: Infrastructures for Open Research
Open Research in Ireland: Infrastructures for Open ResearchOpen Research in Ireland: Infrastructures for Open Research
Open Research in Ireland: Infrastructures for Open Research
 
Oxford University Geospatial Metadata Workshop 20110415
Oxford University Geospatial Metadata Workshop 20110415Oxford University Geospatial Metadata Workshop 20110415
Oxford University Geospatial Metadata Workshop 20110415
 
A Service Perspective: Unlocking metadata to enhance discoverability and conn...
A Service Perspective: Unlocking metadata to enhance discoverability and conn...A Service Perspective: Unlocking metadata to enhance discoverability and conn...
A Service Perspective: Unlocking metadata to enhance discoverability and conn...
 
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
Edinburgh DataShare – A DSpace Data Repository: Achievements and Aspirations
 
ARIADNE: progress in the first nine month
ARIADNE: progress in the first nine monthARIADNE: progress in the first nine month
ARIADNE: progress in the first nine month
 
Report on EDINA Authentication Related Academic Sector Activities
Report on EDINA Authentication Related Academic Sector ActivitiesReport on EDINA Authentication Related Academic Sector Activities
Report on EDINA Authentication Related Academic Sector Activities
 
Elab 16 5-13-re3data-scholze-final
Elab 16 5-13-re3data-scholze-finalElab 16 5-13-re3data-scholze-final
Elab 16 5-13-re3data-scholze-final
 
Scholze liber 2015-06-25_final
Scholze liber 2015-06-25_finalScholze liber 2015-06-25_final
Scholze liber 2015-06-25_final
 
OpenAIRE – The path from OpenAIRE to EOSC in Belgium
OpenAIRE – The path from OpenAIRE to EOSC in BelgiumOpenAIRE – The path from OpenAIRE to EOSC in Belgium
OpenAIRE – The path from OpenAIRE to EOSC in Belgium
 
Open science policy in flanders
Open science policy in flanders Open science policy in flanders
Open science policy in flanders
 
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
Using Open Research Data for Public Policy Making: Opportunities of Virtual R...
 
re3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositoriesre3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositories
 
Ariadne: Interoperability
Ariadne: InteroperabilityAriadne: Interoperability
Ariadne: Interoperability
 
Towards a Linked Data Publishing Methodology
Towards a Linked Data Publishing MethodologyTowards a Linked Data Publishing Methodology
Towards a Linked Data Publishing Methodology
 
Ariadne update
Ariadne updateAriadne update
Ariadne update
 
re3data.org – a Registry of Research Data Repositories
re3data.org – a Registry of Research Data Repositoriesre3data.org – a Registry of Research Data Repositories
re3data.org – a Registry of Research Data Repositories
 
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
FREYA - Connected Open Identifiers for Discovery, Access and Use of Research ...
 
COBWEB technology platform and future development needs
COBWEB technology platform and future development needsCOBWEB technology platform and future development needs
COBWEB technology platform and future development needs
 

Similar to EPOS metadata catalogue

Let’s go on a FAIR safari!
Let’s go on a FAIR safari!Let’s go on a FAIR safari!
Let’s go on a FAIR safari!
Carole Goble
 
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
Michel Heeremans
 
The European Open Science Cloud
The European Open Science CloudThe European Open Science Cloud
The European Open Science Cloud
dri_ireland
 
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-PillarBuilding Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
EOSC-Pillar European Project
 
Geospatial metadata and spatial data workshop: 19 June 2014
Geospatial metadata and spatial data workshop: 19 June 2014Geospatial metadata and spatial data workshop: 19 June 2014
Geospatial metadata and spatial data workshop: 19 June 2014
EDINA, University of Edinburgh
 
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
Franck Michel
 
semantic and social (intra)webs
semantic and social (intra)webssemantic and social (intra)webs
semantic and social (intra)webs
Fabien Gandon
 
FAIRness of training materials
FAIRness of training materialsFAIRness of training materials
FAIRness of training materials
EUDAT
 
Next-Generation Search Engines for Information Retrieval
Next-Generation Search Engines for Information RetrievalNext-Generation Search Engines for Information Retrieval
Next-Generation Search Engines for Information Retrieval
Waqas Tariq
 
Introduction to FAIR Data and Research Objects
Introduction to FAIR Data and Research ObjectsIntroduction to FAIR Data and Research Objects
Introduction to FAIR Data and Research Objects
Diego López-de-Ipiña González-de-Artaza
 
RO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: packaging metadata love notes into FAIR Digital ObjectsRO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: packaging metadata love notes into FAIR Digital Objects
Carole Goble
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
Stuart Chalk
 
Shifting the Burden from the User to the Data Provider
Shifting the Burden from the User to the Data ProviderShifting the Burden from the User to the Data Provider
Shifting the Burden from the User to the Data Provider
The HDF-EOS Tools and Information Center
 
Describe and Publish data sets on the web: vocabularies, catalogues, data por...
Describe and Publish data sets on the web: vocabularies, catalogues, data por...Describe and Publish data sets on the web: vocabularies, catalogues, data por...
Describe and Publish data sets on the web: vocabularies, catalogues, data por...
Franck Michel
 
Linked sensor data
Linked sensor dataLinked sensor data
Linked sensor data
Tamiris Sousa
 
iRODS User Group Meeting 2016 - MUMC+
iRODS User Group Meeting 2016 - MUMC+iRODS User Group Meeting 2016 - MUMC+
iRODS User Group Meeting 2016 - MUMC+
Maarten Coonen
 
A Finnish perspective on FAIRsFAIR outputs
A Finnish perspective on FAIRsFAIR outputsA Finnish perspective on FAIRsFAIR outputs
A Finnish perspective on FAIRsFAIR outputs
Jessica Parland-von Essen
 
Open Data and Institutional Repositories
Open Data and Institutional RepositoriesOpen Data and Institutional Repositories
Open Data and Institutional Repositories
Robin Rice
 
DataCite and its Members: Connecting Research and Identifying Knowledge
DataCite and its Members: Connecting Research and Identifying KnowledgeDataCite and its Members: Connecting Research and Identifying Knowledge
DataCite and its Members: Connecting Research and Identifying Knowledge
ETH-Bibliothek
 
FAIR data
FAIR dataFAIR data
FAIR data
Sarah Jones
 

Similar to EPOS metadata catalogue (20)

Let’s go on a FAIR safari!
Let’s go on a FAIR safari!Let’s go on a FAIR safari!
Let’s go on a FAIR safari!
 
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017
 
The European Open Science Cloud
The European Open Science CloudThe European Open Science Cloud
The European Open Science Cloud
 
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-PillarBuilding Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
Building Federated FAIR Data Spaces, Yann Le Franc, EOSC-Pillar
 
Geospatial metadata and spatial data workshop: 19 June 2014
Geospatial metadata and spatial data workshop: 19 June 2014Geospatial metadata and spatial data workshop: 19 June 2014
Geospatial metadata and spatial data workshop: 19 June 2014
 
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic align...
 
semantic and social (intra)webs
semantic and social (intra)webssemantic and social (intra)webs
semantic and social (intra)webs
 
FAIRness of training materials
FAIRness of training materialsFAIRness of training materials
FAIRness of training materials
 
Next-Generation Search Engines for Information Retrieval
Next-Generation Search Engines for Information RetrievalNext-Generation Search Engines for Information Retrieval
Next-Generation Search Engines for Information Retrieval
 
Introduction to FAIR Data and Research Objects
Introduction to FAIR Data and Research ObjectsIntroduction to FAIR Data and Research Objects
Introduction to FAIR Data and Research Objects
 
RO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: packaging metadata love notes into FAIR Digital ObjectsRO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: packaging metadata love notes into FAIR Digital Objects
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
 
Shifting the Burden from the User to the Data Provider
Shifting the Burden from the User to the Data ProviderShifting the Burden from the User to the Data Provider
Shifting the Burden from the User to the Data Provider
 
Describe and Publish data sets on the web: vocabularies, catalogues, data por...
Describe and Publish data sets on the web: vocabularies, catalogues, data por...Describe and Publish data sets on the web: vocabularies, catalogues, data por...
Describe and Publish data sets on the web: vocabularies, catalogues, data por...
 
Linked sensor data
Linked sensor dataLinked sensor data
Linked sensor data
 
iRODS User Group Meeting 2016 - MUMC+
iRODS User Group Meeting 2016 - MUMC+iRODS User Group Meeting 2016 - MUMC+
iRODS User Group Meeting 2016 - MUMC+
 
A Finnish perspective on FAIRsFAIR outputs
A Finnish perspective on FAIRsFAIR outputsA Finnish perspective on FAIRsFAIR outputs
A Finnish perspective on FAIRsFAIR outputs
 
Open Data and Institutional Repositories
Open Data and Institutional RepositoriesOpen Data and Institutional Repositories
Open Data and Institutional Repositories
 
DataCite and its Members: Connecting Research and Identifying Knowledge
DataCite and its Members: Connecting Research and Identifying KnowledgeDataCite and its Members: Connecting Research and Identifying Knowledge
DataCite and its Members: Connecting Research and Identifying Knowledge
 
FAIR data
FAIR dataFAIR data
FAIR data
 

More from Blue BRIDGE

PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
Blue BRIDGE
 
BlueBRIDGE supporting education
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting education
Blue BRIDGE
 
LME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building Activities
Blue BRIDGE
 
Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms
Blue BRIDGE
 
Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...
Blue BRIDGE
 
Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...
Blue BRIDGE
 
Capacity building, validation and repeatability
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatability
Blue BRIDGE
 
Fostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries dataFostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries data
Blue BRIDGE
 
Understanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areasUnderstanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areas
Blue BRIDGE
 
Panel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public DataPanel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public Data
Blue BRIDGE
 
Invasive species and climate change
Invasive species and climate changeInvasive species and climate change
Invasive species and climate change
Blue BRIDGE
 
Blue Skills
Blue SkillsBlue Skills
Blue Skills
Blue BRIDGE
 
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
Blue BRIDGE
 
Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)
Blue BRIDGE
 
Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100
Blue BRIDGE
 
BlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future visionBlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future vision
Blue BRIDGE
 
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREManaging tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Blue BRIDGE
 
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
Blue BRIDGE
 
The BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale PaganoThe BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale Pagano
Blue BRIDGE
 
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Blue BRIDGE
 

More from Blue BRIDGE (20)

PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
 
BlueBRIDGE supporting education
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting education
 
LME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building Activities
 
Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms
 
Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...
 
Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...
 
Capacity building, validation and repeatability
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatability
 
Fostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries dataFostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries data
 
Understanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areasUnderstanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areas
 
Panel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public DataPanel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public Data
 
Invasive species and climate change
Invasive species and climate changeInvasive species and climate change
Invasive species and climate change
 
Blue Skills
Blue SkillsBlue Skills
Blue Skills
 
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
 
Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)
 
Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100
 
BlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future visionBlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future vision
 
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREManaging tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
 
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
 
The BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale PaganoThe BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale Pagano
 
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
 

Recently uploaded

PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 

Recently uploaded (20)

PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 

EPOS metadata catalogue

  • 1. EPOS metadata catalogue Daniele Bailo, Rossana Paciello, Valerio Vinciarelli INGV - Rome
  • 2. What is EPOS? EPOS is a long-term plan for the integration of research infrastructures for solid Earth Science in Europe EPOS integrates the existing (and future) advanced European facilities into a single, distributed, sustainable infrastructure taking full advantage of new e-science opportunities
  • 3. EPOS Architecture GovernanceGovernance Financial WorkFinancial Work Technical ImplementationTechnical Implementation CommunicationCommunication Harmonization
  • 6. Communities in numbers MAP OF: - Seismic/GPS stations - Laboratories -- etc…. Diversity in data type and formats http://www.epos-eu.org/ride/ Research Infrastructure LIst • 244 Research Infrastructures • 138 Institutions • 22 countries • 2272 GPS receivers • 4939 seismic stations • 464 TB Seismic data • 1.095 PB Storage capacity (seismology) • 1.240 PB Storage capacity (GNSS DC) • 828 instruments in 118 Laboratories
  • 8.
  • 9.
  • 10. Generic Features 1. Download 2. Visualization 3. Processing 4. Modeling
  • 12. Thematic Core Services (TCS) Integrated Core Services (ICS) Interoperability layer National RIs
  • 13. ICS – Integrated Core Services Seismology RIs Geodesy RIs Volcanology RIs WEB APIs WEB APIs WEB APIs
  • 14. ICS – Integrated Core Services Seismology RIs Geodesy RIs Volcanology RIs WEB APIs WEB APIs WEB APIs
  • 15. Metadata model - 3-layers - Manage the complexity (see previous slide) - CERIF (formal syntax, declared semantics) Functions -Discovery, selection -Impact assessment -Manage interoperability Issues (selection of) - heterogeneity - Many standards to be mapped from TCS - Ontologies - Complex work Discovery (DC, DCAT, ISO19139) Contextual (CERIF metadata model) Detailed (community specific) Web portal, Spatio-Temporal Search domain specific – data (TCS or Naational Ris)
  • 16. Elements of EPOS catalogue Processing Model User Model Data Model Resource Model User interaction with the system: AAAI, interaction workflow, multlinguality functions of processing environment Describes research data ICT resources Semantics
  • 17. Contextual (CERIF metadata model) (http://www.eurocris.org/) Common European Research Information Format
  • 19. FAIR - Findability To be findable… EPOS F1. (meta)data are assigned a globally unique and persistent identifier Depends on communities F2. data are described with rich metadata F3. metadata clearly and explicitly include the identifier of the data it describes Depends on communities F4. (meta) data are registered or indexed in a searchable resource References [FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu] [Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
  • 20. FAIR - Accessibility To be acessible… EPOS A1. (meta) data are retrievable by their identifier using a standardized communications protocol A1.1 the protocol is open, free, and universally implementable A1.2 the protocol allows for an authentication and authorization procedure, where necessary WIP A2. metadata are accessible, even when the data are no longer available ?? References [FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu] [Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
  • 21. FAIR - Interoperable To be interoperable… EPOS I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. Difference between MD representation and MD exposition I2. (meta)data use vocabularies that follow FAIR principles WIP I3. (meta)data include qualified references to other (meta)data References [FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu] [Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
  • 22. FAIR - Reusable To be reusable… EPOS R1. meta(data) are richly described with a plurality of accurate and relevant attributes. R1.1. (meta)data are released with a clear and accessible data usage license R1.2. (meta)data are associated with detailed provenance WIP R1.3. (meta)data meet domain-relevant community standards References [FAIR Principles Living Document, http://datafairport.org/fair-principles-living-document-menu] [Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018]
  • 23. Conclusion 1. EPOS catalogue (CERIF – based) is shaped to be FAIR 2. Much depends from the communities 3. Importance of community building action 4. Promote FAIR culture (training initiatives)
  • 25. TCS- Thematic Core Services TCS system Data/metada ta catalogue National network National repository API / web service Local HPC EPOS ICS