eudat
DESCRIPTION
EUDAT. PIDs in EUDAT Webinar , 15 Februari 2013. Mark van de Sanden EUDAT WP leader SARA, The Netherlands. Collaborative Data Infrastructure -A framework for the future ? -. User functionalities, data capture & transfer, virtual research environments. Data Generators. Users. - PowerPoint PPT PresentationTRANSCRIPT
EUDAT
PIDs in EUDAT
Webinar, 15 Februari 2013
Mark van de Sanden
EUDAT WP leader
SARA, The Netherlands
Tru
st
Data
Cu
rati
on
Common Data Services
Users
User functionalities, data capture & transfer, virtual research environments
Persistent storage, identification, authenticity, workflow execution, mining
Data Generators
Community Support Services
Data discovery & navigation, workflow generation, annotation, interpretability
Collaborative Data Infrastructure -A framework for the future? -
3
Consortium
4
• EPOS: European Plate Observatory System
• CLARIN: Common Language Resources and Technology Infrastructure
• ENES: Service for Climate Modelling in Europe
• LifeWatch: Biodoversity Data and Observatories
• VPH: The Virtual Physiological Human
• All share common challenges:– Reference models and architectures
– Persistent data identifiers
– Metadata management
– Distributed data sources
– Data interoperability
Five research communities on Board
5
Communities ↔ Data Centers
Data Staging Safe Replication Simple Store
AAIMetadata Catalogue
Dynamic replication to HPC workspace for processing
Data curation and access optimization
Researcher data store (simple upload, share and access)
Aggregated EUDAT metadata domain.Data inventory
Network of trust among authentication and authorization actors
First EUDAT Services
First EUDAT Services
MetadataDataPID
Data Staging Safe Replication Simple Store
AAIMetadata Catalogue
Dynamic replication to HPC workspace for processing
Data curation and access optimization
Researcher data store (simple upload, share and access)
Aggregated EUDAT metadata domain.Data inventory
Network of trust among authentication and authorization actors
Scientific Data Pyramid
Long tail of data
•These type of services targets small research groups, homeless and citizen scientists•Register data that it can be referenced
domain of globally referable data
temporarydata
preservation
registration
referabledata
EPIC PID
acquisitiongenerationdescription
data
enrichmentprocessingreductionanalysis
citable
Data Stage-Out
publication
Safe Replication
global registration
Data S
tage
-In
Data Life Cycle
EPIC Consortium
• Make data reference able and findable• Provide a sustainable service for storing and maintaining large volumes of PIDs• Consists of 4 partners: GWDG, DKRZ, CSC and SARA• Service based on the Handle service with an EPIC extension for easy management• Handle service provides replication of PIDs and global search and across PID domain (Handle, DataCite and EPIC)
EPIC Service
• EPIC stores more then 5.5M DO• EPOS communities registered >500k DO in the last few months
Find hdl:11100/00335742-6026-11e2-9724-e41f13eb41b2
Data User
Data Manager
Manage 11100/xxx-……..-xxxx
15
Questions