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Implementation of the European
Plate Observing System (EPOS)
Infrastructure
Kirsten Elger1, Jörn Lauterjung1, Damian Ulbricht1,
Massimo Cocco2, Kuvvet Atakan3, Daniele Bailo2, Helen
Glaves4, Keith Jeffrey5
1: GFZ German Research Centre for Geosciences, 2: INGV Istituto Nazionale di Geofisica y
Vulcanologia, 3: Universitetet Bergen, 4: British Geological Survey, 5: Keith G Jeffery Consultants
www.epos-ip.org
• EPOS is a long-term plan to facilitate integrated use of harmonized data, data
products, and facilities from distributed research infrastructures for solid Earth
science in Europe.
• Funded by the Horizon 2020 ESFRI-Research Infrastructure Programme of the
European Commission
• EPOS is developing a holistic, sustainable, multidisciplinary research platform to
provide coordinated access to harmonized and quality controlled data from
diverse Earth science disciplines, together with tools for their use in analysis and
modelling.
EPOS Partners
EPOS Timeline
2002
2008
2010
EPOS PP - agreement on:
(1) technical design of the
EPOS architectural framework
(2) Legal governance and
financial models
2014
2015
Make the EPOS
service
platform
operational
2019
2015
Sustainability as EPOS ERIC
(European Research
Infrastructure Consortium)
Funded by member fees of
participating countries
EPOS functional architecture
NRI: National Research
Infrastructures
(disciplinary): main data
providers
TCS: Thematic Core
Services: disciplinary,
integration of NRI and
other data
ICS: Integrated Core
Services: Central Hub
(ICS-C) and Distributed
Services (ICS-D)
ECO: Executive
Coordination Office
The EPOS Implementation Project concept and approach
Disciplinary
Workpackages (10/17):
• Seismology
• Near-Fault
Observatories
• GNSS Data & Products
• Volcano Observations
• Satellite Data
• Geomagnetic
Observations
• Anthropogenic Hazards
• Geological Information
& Modeling
• Multi-scale Laboratories
• Geo Energy Test Beds for
Low Carbon Energy
TCS Thematic Core Services
• Community-driven
• Disciplinary (development of standardised disciplinary metadata if
not yet existing)
• Harmonisation of metadata within the workpackages (which data
are interesting and suitable for EPOS?)
• Harmonisation across workpackages describing the same type of
data (e.g. near-fault observatories have seismic data)
• Metadata exchange with ICS required (central or distributed servers
with API)
ICS Integrated Core Services
• The heart of EPOS: ICS Central
user interface/ Web Portal for
data discovery and access to
data, data products, software
and services
• including access to external
services like HTC computing
facilities and visualisation
services (ICS-D)
EPOS functional Architecture
community-specific integration
novel e-infrastructure
Adaption
Data generation
Data collection
Responsibility of
sustainability and
operation
Data curation
Metadata Registration
Community Services
Standardization
Data policies
Metadata registry
Processing
Aggregation
Data discovery
Visualization
Challenges for EPOS
• To manage heterogeneity in data access across disciplines
(i.e. data streams vs. data files)
• To harmonise data and metadata standards
• To harmonise vocabulary
• To bridge the gap between different maturity of data
management and data curation across the diciplines
Example: TCS Seismology
•
•
•
•
Fully standardised data and metadata, large data streams
Global intitiatives (e.g. FDSN)
NRIs: ORFEUS (including EIDA), EMSC, EFEHR
Products and Services:
ORFEUS: Observatories and
Research Facilities for
European Seismology, EIDA:
European Integrated Data
Archive; EMSC EuropeanMediterranean Seismological
Centre; EFEHR European
Facilities for Earthquake
Hazard and Risk,
– Data Services: e.g. seismic waveforms (including strong-motion) and metadata from
permanent and temporary networks and from ocean-bottom seismometers, etc.
– Product Services: locations, magnitudes and other parametric earthquake information
collections for recent and historical earthquakes, etc.
– Earthquake Hazard and Risk Services: access to data products, results, computation tools
and support, including hazard maps, risk maps, scenarios and basic geological and
geotechnical data
– Computational Seismology services: access to IT platforms allowing computational
workflow definition and execution for data- and CPU-intensive processing, massive data
mining, and visualization …
Example: TCS Multiscale Laboratories
•
•
•
•
Multi disciplinary: paleomagnetics, analogue modelling, rock mechanics, geochemistry, etc.
Only static, mostly small data („long-tail“)
Few disciplinary metadata portals or NRIs
Workflow:
– Development of metadata standards for each discipline if not existing
– Development of a central TCS „Portal“ with API for communication with ICS
– Integration of metadata of data products via an XML Metadata Editor or scripts
– Data access via DOI-referenced data publications in data repositories
• Data and Products: analytical and experimental data and data products on volcanic ashes
and magmatic rocks, experimental data and data products on rock properties, paleomagnetic
data, and data on analogue modelling materials and experiments
• Physical Access: transnational access to experimental and micro-analytical facilities
Challenges for EPOS - 2
• Provide a user interfaces that seamlessly integrates different
types of data
• Integrate different types of services provided by the TCS
communities (HPC-access, visualisation and others)
• General organisation: standardisation, harmonisation, quality
control
EPOS IP project Timeline
Implementation
Validation
Pre-operation
TCS cost assessment
TCS-ICS
Validation
Sep 2016
TCS-ICS testing
for operation
www.epos-ip.org
Thank you for your attention!
[email protected]