SlideShare a Scribd company logo
eosc-hub.eu
@EOSC_eu
EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 777536.
CLARIN
Component Metadata Infrastructure
2
Motivation and driving consideration about the service
Service architecture and interfaces: overview
- How the user can access the service
- Service options and attributes
Acceptable Usage Policy (AUP)
Access policy
Use cases
Documentation/tutorial/information
11/28/2018
Content
3
Goal: stimulate the discoverability of data sets, making the
citation of these more convenient and to take away the
barriers to automated processing of data
Metadata for digital objects exists in a multitude of formats.
Often the schemas for these descriptions focus on
specialized information for a specific research community.
Component Metadata (CMD) provides a framework to
describe and reuse (parts of) existing metadata blueprints,
with support for expressing semantics in a standardized way
at both blueprint and description layers.
11/28/2018
Motivation
4
Core infrastructure components
- Core schemas and transformations (CMD toolkit)
- Semantic registry (CLARIN concept registry)
- Component and schema registry and editor (Component
Registry)
Exploitation stack:
- Faceted browser (VLO – service launched September 2018)
- Tool discovery (Switchboard – service to be launched)
- Resource collection registry and editor (VCR – service to be
launched)
Connections and dependencies
- EUDAT: service integration (B2SHARE, B2DROP)
11/28/2018
Service architecture and interfaces
5
Core components
- CMD toolkit: XML tooling (XSD, XSLT), binaries, scripting
- Concept registry: GUI and REST API (open for retrieval)
- Component Registry: GUI and REST API (open for retrieval)
Exploitation stack:
- Faceted browser (VLO): web GUI; data can be provided
using the OAI-PMH protocol
- Switchboard: GUI (not yet launched)
- VCR: GUI and REST API (not yet launched)
11/28/2018
Service access
6
CLARIN has a fair use policy for research purposes
CLARIN at present does not have a published acceptable
usage policy description
11/28/2018
Acceptable Usage Policy
7
Access policies:
- Open access to all read-only services
- All metadata is open
- Certain parts that require writing rights require a login,
which is policy-based
 anyone with academic credentials (single sign-on) can access
 interested citizen scientists can register an account in the
CLARIN Identity Provider
- Described resources may require authorization, depending
on the policy of the resource provider (out of scope of the
metadata infrastructure)
11/28/2018
Access policies
8
The component metadata model is very flexible and
virtually any metadata description scheme new or
existing can be modelled. Core tooling supports this
flexibility.
Interoperability options can be implemented on top of
the core services stack
Metadata sourcing options: OAI-PMH harvesting or
static metadata provisioning
Exploitation can be customised in terms of fields and
search/display facets (VLO), connected tools
(Switchboard)
11/28/2018
Service options and attributes
9
Primary user community: Social Sciences and Humanities
scholars – but in principle also applies to other domains
Resources and metadata can be submitted to the user’s
‘native’ repository or at any repository willing to ingest.
CLARIN harvests metadata from repositories connected to
the infrastructure and processes it for:
- Uniform presentation
- Search and discovery on basis of common metadata concepts
- Further exploitation within the infrastructure at small or large
scale (processing with connected tools, virtual collections)
11/28/2018
Featured use case
10
All Component Metadata documentation is available via
https://www.clarin.eu/cmdi
Component modelling documentation
- https://www.clarin.eu/content/component-registry-
documentation
Exploitation stack documentation
- https://vlo.clarin.eu/help
11/28/2018
Documentations
eosc-hub.eu @EOSC_eu

More Related Content

What's hot

Configuring and Visualizing The Data Resources in a Cloud-based Data Collect...
Configuring and Visualizing The Data Resources  in a Cloud-based Data Collect...Configuring and Visualizing The Data Resources  in a Cloud-based Data Collect...
Configuring and Visualizing The Data Resources in a Cloud-based Data Collect...
FAST-Lab. Factory Automation Systems and Technologies Laboratory, Tampere University of Technology
 
Introduction to the new DAD-IS architecture
Introduction to the new DAD-IS architecture Introduction to the new DAD-IS architecture
Introduction to the new DAD-IS architecture
FAO
 
20141030 LinDA Workshop echallenges2014 - LinDA project overview
20141030 LinDA Workshop echallenges2014 - LinDA project overview20141030 LinDA Workshop echallenges2014 - LinDA project overview
20141030 LinDA Workshop echallenges2014 - LinDA project overview
LinDa_FP7
 
Jarrar: Architectural Solutions in Data Integration
Jarrar: Architectural Solutions in Data IntegrationJarrar: Architectural Solutions in Data Integration
Jarrar: Architectural Solutions in Data Integration
Mustafa Jarrar
 
SafeNet: Progress and Data Gathering
SafeNet: Progress and Data GatheringSafeNet: Progress and Data Gathering
SafeNet: Progress and Data Gathering
EDINA, University of Edinburgh
 
PARTHENOS' Underlying Infrastructure
PARTHENOS' Underlying InfrastructurePARTHENOS' Underlying Infrastructure
PARTHENOS' Underlying Infrastructure
Parthenos
 
OAI-PMH for dummies: how to build an institutional repository with limited re...
OAI-PMH for dummies: how to build an institutional repository with limited re...OAI-PMH for dummies: how to build an institutional repository with limited re...
OAI-PMH for dummies: how to build an institutional repository with limited re...
Patrice Chalon
 
Shaping the EOSC Portal - future vision for EOSC Hub
Shaping the EOSC Portal - future vision for EOSC Hub Shaping the EOSC Portal - future vision for EOSC Hub
Shaping the EOSC Portal - future vision for EOSC Hub
EOSC-hub project
 
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub project
 
The EOSC Compute Platform with the EGI-ACE project
The EOSC Compute Platform with the EGI-ACE project The EOSC Compute Platform with the EGI-ACE project
The EOSC Compute Platform with the EGI-ACE project
EGI Federation
 
Data Preservation Service Area
Data Preservation Service AreaData Preservation Service Area
Data Preservation Service Area
EUDAT
 
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
EOSC-hub project
 
PARTHENOS Services To Be Provided
PARTHENOS Services To Be ProvidedPARTHENOS Services To Be Provided
PARTHENOS Services To Be Provided
Parthenos
 
Summary of the Deployment Scenarios and Functional Requirements
Summary of the Deployment Scenarios and Functional RequirementsSummary of the Deployment Scenarios and Functional Requirements
Summary of the Deployment Scenarios and Functional Requirements
Archiver
 
Maelstrom-Research: Mica 2012 04-25
Maelstrom-Research: Mica 2012 04-25Maelstrom-Research: Mica 2012 04-25
Maelstrom-Research: Mica 2012 04-25
emorency
 
Putting the eGov Core Vocabularies in practice
Putting the eGov Core Vocabularies in practicePutting the eGov Core Vocabularies in practice
Putting the eGov Core Vocabularies in practice
Nikos Loutas
 
Why-what-how of linked open government data
Why-what-how of linked open government dataWhy-what-how of linked open government data
Why-what-how of linked open government data
Nikos Loutas
 
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
Vivek Krishnakumar
 
Sensor metadata management with SWM (SMWCon fall 2013)
Sensor metadata management with SWM (SMWCon fall 2013)Sensor metadata management with SWM (SMWCon fall 2013)
Sensor metadata management with SWM (SMWCon fall 2013)
jwnoteboom
 
DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios  DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios
Archiver
 

What's hot (20)

Configuring and Visualizing The Data Resources in a Cloud-based Data Collect...
Configuring and Visualizing The Data Resources  in a Cloud-based Data Collect...Configuring and Visualizing The Data Resources  in a Cloud-based Data Collect...
Configuring and Visualizing The Data Resources in a Cloud-based Data Collect...
 
Introduction to the new DAD-IS architecture
Introduction to the new DAD-IS architecture Introduction to the new DAD-IS architecture
Introduction to the new DAD-IS architecture
 
20141030 LinDA Workshop echallenges2014 - LinDA project overview
20141030 LinDA Workshop echallenges2014 - LinDA project overview20141030 LinDA Workshop echallenges2014 - LinDA project overview
20141030 LinDA Workshop echallenges2014 - LinDA project overview
 
Jarrar: Architectural Solutions in Data Integration
Jarrar: Architectural Solutions in Data IntegrationJarrar: Architectural Solutions in Data Integration
Jarrar: Architectural Solutions in Data Integration
 
SafeNet: Progress and Data Gathering
SafeNet: Progress and Data GatheringSafeNet: Progress and Data Gathering
SafeNet: Progress and Data Gathering
 
PARTHENOS' Underlying Infrastructure
PARTHENOS' Underlying InfrastructurePARTHENOS' Underlying Infrastructure
PARTHENOS' Underlying Infrastructure
 
OAI-PMH for dummies: how to build an institutional repository with limited re...
OAI-PMH for dummies: how to build an institutional repository with limited re...OAI-PMH for dummies: how to build an institutional repository with limited re...
OAI-PMH for dummies: how to build an institutional repository with limited re...
 
Shaping the EOSC Portal - future vision for EOSC Hub
Shaping the EOSC Portal - future vision for EOSC Hub Shaping the EOSC Portal - future vision for EOSC Hub
Shaping the EOSC Portal - future vision for EOSC Hub
 
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...
 
The EOSC Compute Platform with the EGI-ACE project
The EOSC Compute Platform with the EGI-ACE project The EOSC Compute Platform with the EGI-ACE project
The EOSC Compute Platform with the EGI-ACE project
 
Data Preservation Service Area
Data Preservation Service AreaData Preservation Service Area
Data Preservation Service Area
 
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
Prompting an EOSC in Practice, Isabel Campos, CSIC & Member of the High Level...
 
PARTHENOS Services To Be Provided
PARTHENOS Services To Be ProvidedPARTHENOS Services To Be Provided
PARTHENOS Services To Be Provided
 
Summary of the Deployment Scenarios and Functional Requirements
Summary of the Deployment Scenarios and Functional RequirementsSummary of the Deployment Scenarios and Functional Requirements
Summary of the Deployment Scenarios and Functional Requirements
 
Maelstrom-Research: Mica 2012 04-25
Maelstrom-Research: Mica 2012 04-25Maelstrom-Research: Mica 2012 04-25
Maelstrom-Research: Mica 2012 04-25
 
Putting the eGov Core Vocabularies in practice
Putting the eGov Core Vocabularies in practicePutting the eGov Core Vocabularies in practice
Putting the eGov Core Vocabularies in practice
 
Why-what-how of linked open government data
Why-what-how of linked open government dataWhy-what-how of linked open government data
Why-what-how of linked open government data
 
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
Quick Intro to InterMine within AIP and MTGD - JCVI Research Works-in-Progres...
 
Sensor metadata management with SWM (SMWCon fall 2013)
Sensor metadata management with SWM (SMWCon fall 2013)Sensor metadata management with SWM (SMWCon fall 2013)
Sensor metadata management with SWM (SMWCon fall 2013)
 
DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios  DESY / XFEL Deployment Scenarios
DESY / XFEL Deployment Scenarios
 

Similar to CLARIN Component Metadata Infrastructure

Policy Cloud Data Driven Policies against Radicalisation - Technical Overview
Policy Cloud Data Driven Policies against Radicalisation - Technical OverviewPolicy Cloud Data Driven Policies against Radicalisation - Technical Overview
Policy Cloud Data Driven Policies against Radicalisation - Technical Overview
Big Data Value Association
 
Policy Cloud Data Driven - Technical overview
Policy Cloud Data Driven - Technical overviewPolicy Cloud Data Driven - Technical overview
Policy Cloud Data Driven - Technical overview
Big Data Value Association
 
HILT at Mdr
HILT at MdrHILT at Mdr
HILT at Mdr
R. John Robertson
 
Multi-sensor Evolution Analysis (MEA) & EOSC-hub
Multi-sensor Evolution Analysis (MEA) & EOSC-hubMulti-sensor Evolution Analysis (MEA) & EOSC-hub
Multi-sensor Evolution Analysis (MEA) & EOSC-hub
EOSC-hub project
 
The Science Cloud Users: Challenges and Needs
The Science Cloud Users: Challenges and NeedsThe Science Cloud Users: Challenges and Needs
The Science Cloud Users: Challenges and Needs
Helix Nebula The Science Cloud
 
LeilaKarimi_BigD685.pdf
LeilaKarimi_BigD685.pdfLeilaKarimi_BigD685.pdf
LeilaKarimi_BigD685.pdf
C181236FoziaSultana
 
Advancing the JISC Access & Identity Management Programme
Advancing the JISC Access & Identity Management ProgrammeAdvancing the JISC Access & Identity Management Programme
Advancing the JISC Access & Identity Management Programme
JISC Netskills
 
Introduction to Smart Data Models
Introduction to Smart Data ModelsIntroduction to Smart Data Models
Introduction to Smart Data Models
FIWARE
 
Service Management Framework and Principles of Engagement, Sy Holsinger
Service Management Framework and Principles of Engagement, Sy Holsinger Service Management Framework and Principles of Engagement, Sy Holsinger
Service Management Framework and Principles of Engagement, Sy Holsinger
EOSC-hub project
 
JISC's AIM programme
JISC's AIM programmeJISC's AIM programme
JISC's AIM programme
Christopher Brown
 
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
PwC
 
The Future of Apache Hadoop an Enterprise Architecture View
The Future of Apache Hadoop an Enterprise Architecture ViewThe Future of Apache Hadoop an Enterprise Architecture View
The Future of Apache Hadoop an Enterprise Architecture View
DataWorks Summit/Hadoop Summit
 
FIWARE Training: Introduction to Smart Data Models
FIWARE Training: Introduction to Smart Data ModelsFIWARE Training: Introduction to Smart Data Models
FIWARE Training: Introduction to Smart Data Models
FIWARE
 
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET Journal
 
Application Profiles
Application ProfilesApplication Profiles
Application Profiles
Diane Hillmann
 
Urm concept for sharing information inside of communities
Urm concept for sharing information inside of communitiesUrm concept for sharing information inside of communities
Urm concept for sharing information inside of communities
Karel Charvat
 
EOSC-hub & RCauth.eu presentation
EOSC-hub & RCauth.eu presentationEOSC-hub & RCauth.eu presentation
EOSC-hub & RCauth.eu presentation
EOSC-hub project
 
Svcc services presentation (Silicon Valley code camp 2011)
Svcc services presentation (Silicon Valley code camp 2011)Svcc services presentation (Silicon Valley code camp 2011)
Svcc services presentation (Silicon Valley code camp 2011)
Jen Wong
 
Jisc Research Data Shared Service - Spring Update
Jisc Research Data Shared Service - Spring UpdateJisc Research Data Shared Service - Spring Update
Jisc Research Data Shared Service - Spring Update
Jisc RDM
 
EGI Data Hub
EGI Data HubEGI Data Hub
EGI Data Hub
EOSC-hub project
 

Similar to CLARIN Component Metadata Infrastructure (20)

Policy Cloud Data Driven Policies against Radicalisation - Technical Overview
Policy Cloud Data Driven Policies against Radicalisation - Technical OverviewPolicy Cloud Data Driven Policies against Radicalisation - Technical Overview
Policy Cloud Data Driven Policies against Radicalisation - Technical Overview
 
Policy Cloud Data Driven - Technical overview
Policy Cloud Data Driven - Technical overviewPolicy Cloud Data Driven - Technical overview
Policy Cloud Data Driven - Technical overview
 
HILT at Mdr
HILT at MdrHILT at Mdr
HILT at Mdr
 
Multi-sensor Evolution Analysis (MEA) & EOSC-hub
Multi-sensor Evolution Analysis (MEA) & EOSC-hubMulti-sensor Evolution Analysis (MEA) & EOSC-hub
Multi-sensor Evolution Analysis (MEA) & EOSC-hub
 
The Science Cloud Users: Challenges and Needs
The Science Cloud Users: Challenges and NeedsThe Science Cloud Users: Challenges and Needs
The Science Cloud Users: Challenges and Needs
 
LeilaKarimi_BigD685.pdf
LeilaKarimi_BigD685.pdfLeilaKarimi_BigD685.pdf
LeilaKarimi_BigD685.pdf
 
Advancing the JISC Access & Identity Management Programme
Advancing the JISC Access & Identity Management ProgrammeAdvancing the JISC Access & Identity Management Programme
Advancing the JISC Access & Identity Management Programme
 
Introduction to Smart Data Models
Introduction to Smart Data ModelsIntroduction to Smart Data Models
Introduction to Smart Data Models
 
Service Management Framework and Principles of Engagement, Sy Holsinger
Service Management Framework and Principles of Engagement, Sy Holsinger Service Management Framework and Principles of Engagement, Sy Holsinger
Service Management Framework and Principles of Engagement, Sy Holsinger
 
JISC's AIM programme
JISC's AIM programmeJISC's AIM programme
JISC's AIM programme
 
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
 
The Future of Apache Hadoop an Enterprise Architecture View
The Future of Apache Hadoop an Enterprise Architecture ViewThe Future of Apache Hadoop an Enterprise Architecture View
The Future of Apache Hadoop an Enterprise Architecture View
 
FIWARE Training: Introduction to Smart Data Models
FIWARE Training: Introduction to Smart Data ModelsFIWARE Training: Introduction to Smart Data Models
FIWARE Training: Introduction to Smart Data Models
 
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
IRJET- Towards Efficient Framework for Semantic Query Search Engine in Large-...
 
Application Profiles
Application ProfilesApplication Profiles
Application Profiles
 
Urm concept for sharing information inside of communities
Urm concept for sharing information inside of communitiesUrm concept for sharing information inside of communities
Urm concept for sharing information inside of communities
 
EOSC-hub & RCauth.eu presentation
EOSC-hub & RCauth.eu presentationEOSC-hub & RCauth.eu presentation
EOSC-hub & RCauth.eu presentation
 
Svcc services presentation (Silicon Valley code camp 2011)
Svcc services presentation (Silicon Valley code camp 2011)Svcc services presentation (Silicon Valley code camp 2011)
Svcc services presentation (Silicon Valley code camp 2011)
 
Jisc Research Data Shared Service - Spring Update
Jisc Research Data Shared Service - Spring UpdateJisc Research Data Shared Service - Spring Update
Jisc Research Data Shared Service - Spring Update
 
EGI Data Hub
EGI Data HubEGI Data Hub
EGI Data Hub
 

More from EOSC-hub project

EOSC-hub Early Adopter Programme
EOSC-hub Early Adopter ProgrammeEOSC-hub Early Adopter Programme
EOSC-hub Early Adopter Programme
EOSC-hub project
 
2019 05-21 egi and eosc - final
2019 05-21 egi and eosc - final2019 05-21 egi and eosc - final
2019 05-21 egi and eosc - final
EOSC-hub project
 
Introduction to service management and FitSM
Introduction to service management and FitSMIntroduction to service management and FitSM
Introduction to service management and FitSM
EOSC-hub project
 
Service management board (SMB), Service providers’ forum (SPF)
Service management board (SMB), Service providers’ forum (SPF)Service management board (SMB), Service providers’ forum (SPF)
Service management board (SMB), Service providers’ forum (SPF)
EOSC-hub project
 
Joining the EOSC-hub as a Service Provider
Joining the EOSC-hub as a Service ProviderJoining the EOSC-hub as a Service Provider
Joining the EOSC-hub as a Service Provider
EOSC-hub project
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of data
EOSC-hub project
 
Software for data management and exploitation
Software for data management and exploitationSoftware for data management and exploitation
Software for data management and exploitation
EOSC-hub project
 
Repositories for long-term preservation - certification
Repositories for long-term preservation - certificationRepositories for long-term preservation - certification
Repositories for long-term preservation - certification
EOSC-hub project
 
EOSC working group on FAIR
EOSC working group on FAIREOSC working group on FAIR
EOSC working group on FAIR
EOSC-hub project
 
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
EOSC-hub project
 
Services to support FAIR data - Introduction
Services to support FAIR data - IntroductionServices to support FAIR data - Introduction
Services to support FAIR data - Introduction
EOSC-hub project
 
EOSC-synergy
EOSC-synergyEOSC-synergy
EOSC-synergy
EOSC-hub project
 
ExPaNDS
ExPaNDSExPaNDS
EOSC-Pillar
EOSC-PillarEOSC-Pillar
EOSC-Pillar
EOSC-hub project
 
NI4OS-Europe
NI4OS-EuropeNI4OS-Europe
NI4OS-Europe
EOSC-hub project
 
Excellerat CoE
Excellerat CoEExcellerat CoE
Excellerat CoE
EOSC-hub project
 
Pathways for EOSC-hub and MaX collaboration
Pathways for EOSC-hub and MaX collaborationPathways for EOSC-hub and MaX collaboration
Pathways for EOSC-hub and MaX collaboration
EOSC-hub project
 
Overview on the HPC CoEs panorama
Overview on the HPC CoEs panoramaOverview on the HPC CoEs panorama
Overview on the HPC CoEs panorama
EOSC-hub project
 
Overview of the Onboarding and validation process and the Rules of Participat...
Overview of the Onboarding and validation process and the Rules of Participat...Overview of the Onboarding and validation process and the Rules of Participat...
Overview of the Onboarding and validation process and the Rules of Participat...
EOSC-hub project
 
ELIXIR Competence Centre in EOSC-hub
ELIXIR Competence Centre in EOSC-hubELIXIR Competence Centre in EOSC-hub
ELIXIR Competence Centre in EOSC-hub
EOSC-hub project
 

More from EOSC-hub project (20)

EOSC-hub Early Adopter Programme
EOSC-hub Early Adopter ProgrammeEOSC-hub Early Adopter Programme
EOSC-hub Early Adopter Programme
 
2019 05-21 egi and eosc - final
2019 05-21 egi and eosc - final2019 05-21 egi and eosc - final
2019 05-21 egi and eosc - final
 
Introduction to service management and FitSM
Introduction to service management and FitSMIntroduction to service management and FitSM
Introduction to service management and FitSM
 
Service management board (SMB), Service providers’ forum (SPF)
Service management board (SMB), Service providers’ forum (SPF)Service management board (SMB), Service providers’ forum (SPF)
Service management board (SMB), Service providers’ forum (SPF)
 
Joining the EOSC-hub as a Service Provider
Joining the EOSC-hub as a Service ProviderJoining the EOSC-hub as a Service Provider
Joining the EOSC-hub as a Service Provider
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of data
 
Software for data management and exploitation
Software for data management and exploitationSoftware for data management and exploitation
Software for data management and exploitation
 
Repositories for long-term preservation - certification
Repositories for long-term preservation - certificationRepositories for long-term preservation - certification
Repositories for long-term preservation - certification
 
EOSC working group on FAIR
EOSC working group on FAIREOSC working group on FAIR
EOSC working group on FAIR
 
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
Updates on the FAIR Data Maturity Model RDA Working Group & the DG RTD FAIR i...
 
Services to support FAIR data - Introduction
Services to support FAIR data - IntroductionServices to support FAIR data - Introduction
Services to support FAIR data - Introduction
 
EOSC-synergy
EOSC-synergyEOSC-synergy
EOSC-synergy
 
ExPaNDS
ExPaNDSExPaNDS
ExPaNDS
 
EOSC-Pillar
EOSC-PillarEOSC-Pillar
EOSC-Pillar
 
NI4OS-Europe
NI4OS-EuropeNI4OS-Europe
NI4OS-Europe
 
Excellerat CoE
Excellerat CoEExcellerat CoE
Excellerat CoE
 
Pathways for EOSC-hub and MaX collaboration
Pathways for EOSC-hub and MaX collaborationPathways for EOSC-hub and MaX collaboration
Pathways for EOSC-hub and MaX collaboration
 
Overview on the HPC CoEs panorama
Overview on the HPC CoEs panoramaOverview on the HPC CoEs panorama
Overview on the HPC CoEs panorama
 
Overview of the Onboarding and validation process and the Rules of Participat...
Overview of the Onboarding and validation process and the Rules of Participat...Overview of the Onboarding and validation process and the Rules of Participat...
Overview of the Onboarding and validation process and the Rules of Participat...
 
ELIXIR Competence Centre in EOSC-hub
ELIXIR Competence Centre in EOSC-hubELIXIR Competence Centre in EOSC-hub
ELIXIR Competence Centre in EOSC-hub
 

Recently uploaded

8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
by6843629
 
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills MN
 
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureDirect Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart Agriculture
International Food Policy Research Institute- South Asia Office
 
Farming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptxFarming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptx
Frédéric Baudron
 
Pests of Storage_Identification_Dr.UPR.pdf
Pests of Storage_Identification_Dr.UPR.pdfPests of Storage_Identification_Dr.UPR.pdf
Pests of Storage_Identification_Dr.UPR.pdf
PirithiRaju
 
Eukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptxEukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptx
RitabrataSarkar3
 
23PH301 - Optics - Optical Lenses.pptx
23PH301 - Optics  -  Optical Lenses.pptx23PH301 - Optics  -  Optical Lenses.pptx
23PH301 - Optics - Optical Lenses.pptx
RDhivya6
 
AJAY KUMAR NIET GreNo Guava Project File.pdf
AJAY KUMAR NIET GreNo Guava Project File.pdfAJAY KUMAR NIET GreNo Guava Project File.pdf
AJAY KUMAR NIET GreNo Guava Project File.pdf
AJAY KUMAR
 
The cost of acquiring information by natural selection
The cost of acquiring information by natural selectionThe cost of acquiring information by natural selection
The cost of acquiring information by natural selection
Carl Bergstrom
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
MaheshaNanjegowda
 
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of ProteinsGBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
Areesha Ahmad
 
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfMending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Selcen Ozturkcan
 
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
Leonel Morgado
 
11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf
PirithiRaju
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
University of Hertfordshire
 
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
PsychoTech Services
 
Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.
Aditi Bajpai
 
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
frank0071
 
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdfGadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
PirithiRaju
 
HOW DO ORGANISMS REPRODUCE?reproduction part 1
HOW DO ORGANISMS REPRODUCE?reproduction part 1HOW DO ORGANISMS REPRODUCE?reproduction part 1
HOW DO ORGANISMS REPRODUCE?reproduction part 1
Shashank Shekhar Pandey
 

Recently uploaded (20)

8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
 
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
 
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureDirect Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart Agriculture
 
Farming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptxFarming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptx
 
Pests of Storage_Identification_Dr.UPR.pdf
Pests of Storage_Identification_Dr.UPR.pdfPests of Storage_Identification_Dr.UPR.pdf
Pests of Storage_Identification_Dr.UPR.pdf
 
Eukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptxEukaryotic Transcription Presentation.pptx
Eukaryotic Transcription Presentation.pptx
 
23PH301 - Optics - Optical Lenses.pptx
23PH301 - Optics  -  Optical Lenses.pptx23PH301 - Optics  -  Optical Lenses.pptx
23PH301 - Optics - Optical Lenses.pptx
 
AJAY KUMAR NIET GreNo Guava Project File.pdf
AJAY KUMAR NIET GreNo Guava Project File.pdfAJAY KUMAR NIET GreNo Guava Project File.pdf
AJAY KUMAR NIET GreNo Guava Project File.pdf
 
The cost of acquiring information by natural selection
The cost of acquiring information by natural selectionThe cost of acquiring information by natural selection
The cost of acquiring information by natural selection
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
 
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of ProteinsGBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
 
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfMending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
 
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
 
11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
 
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
 
Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.Micronuclei test.M.sc.zoology.fisheries.
Micronuclei test.M.sc.zoology.fisheries.
 
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
 
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdfGadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
 
HOW DO ORGANISMS REPRODUCE?reproduction part 1
HOW DO ORGANISMS REPRODUCE?reproduction part 1HOW DO ORGANISMS REPRODUCE?reproduction part 1
HOW DO ORGANISMS REPRODUCE?reproduction part 1
 

CLARIN Component Metadata Infrastructure

  • 1. eosc-hub.eu @EOSC_eu EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 777536. CLARIN Component Metadata Infrastructure
  • 2. 2 Motivation and driving consideration about the service Service architecture and interfaces: overview - How the user can access the service - Service options and attributes Acceptable Usage Policy (AUP) Access policy Use cases Documentation/tutorial/information 11/28/2018 Content
  • 3. 3 Goal: stimulate the discoverability of data sets, making the citation of these more convenient and to take away the barriers to automated processing of data Metadata for digital objects exists in a multitude of formats. Often the schemas for these descriptions focus on specialized information for a specific research community. Component Metadata (CMD) provides a framework to describe and reuse (parts of) existing metadata blueprints, with support for expressing semantics in a standardized way at both blueprint and description layers. 11/28/2018 Motivation
  • 4. 4 Core infrastructure components - Core schemas and transformations (CMD toolkit) - Semantic registry (CLARIN concept registry) - Component and schema registry and editor (Component Registry) Exploitation stack: - Faceted browser (VLO – service launched September 2018) - Tool discovery (Switchboard – service to be launched) - Resource collection registry and editor (VCR – service to be launched) Connections and dependencies - EUDAT: service integration (B2SHARE, B2DROP) 11/28/2018 Service architecture and interfaces
  • 5. 5 Core components - CMD toolkit: XML tooling (XSD, XSLT), binaries, scripting - Concept registry: GUI and REST API (open for retrieval) - Component Registry: GUI and REST API (open for retrieval) Exploitation stack: - Faceted browser (VLO): web GUI; data can be provided using the OAI-PMH protocol - Switchboard: GUI (not yet launched) - VCR: GUI and REST API (not yet launched) 11/28/2018 Service access
  • 6. 6 CLARIN has a fair use policy for research purposes CLARIN at present does not have a published acceptable usage policy description 11/28/2018 Acceptable Usage Policy
  • 7. 7 Access policies: - Open access to all read-only services - All metadata is open - Certain parts that require writing rights require a login, which is policy-based  anyone with academic credentials (single sign-on) can access  interested citizen scientists can register an account in the CLARIN Identity Provider - Described resources may require authorization, depending on the policy of the resource provider (out of scope of the metadata infrastructure) 11/28/2018 Access policies
  • 8. 8 The component metadata model is very flexible and virtually any metadata description scheme new or existing can be modelled. Core tooling supports this flexibility. Interoperability options can be implemented on top of the core services stack Metadata sourcing options: OAI-PMH harvesting or static metadata provisioning Exploitation can be customised in terms of fields and search/display facets (VLO), connected tools (Switchboard) 11/28/2018 Service options and attributes
  • 9. 9 Primary user community: Social Sciences and Humanities scholars – but in principle also applies to other domains Resources and metadata can be submitted to the user’s ‘native’ repository or at any repository willing to ingest. CLARIN harvests metadata from repositories connected to the infrastructure and processes it for: - Uniform presentation - Search and discovery on basis of common metadata concepts - Further exploitation within the infrastructure at small or large scale (processing with connected tools, virtual collections) 11/28/2018 Featured use case
  • 10. 10 All Component Metadata documentation is available via https://www.clarin.eu/cmdi Component modelling documentation - https://www.clarin.eu/content/component-registry- documentation Exploitation stack documentation - https://vlo.clarin.eu/help 11/28/2018 Documentations