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Coordination of Environmental 
Research Infrastructures for Access to 
Multidisciplinary Earth/Ocean Data: 
Experience from EMSO 
CASRAI/RDC meeting, Ottawa, November 19, 2014 
Mairi M.R. Best, B.Sc., Ph.D. 
Consultant on Ocean Observing and 
Environmental Sensor Systems
Overview 
• Environmental Research Infrastructures 
institutional/national initiatives, 
different disciplines/cultures 
vs. 
regional to global questions 
• Putting the Earth back together…
My Background 
• Early involvement in big data and data mining in 
field based descriptive disciplines 
• Research focused on sampling and reading of 
Earth’s historical records 
• Early user and contributor of open Earth-Ocean data 
such as NOAA’s NODC/NGDC 
• Involved in transitions of fields becoming more data 
rich and quantitative 
• Led science and installation teams during building of 
NEPTUNE Canada (ONC)
Earth-Ocean Processes 
Ruhl et al., 2011
Challenge of Adequately Sampling 
Natural Processes 
Continuous, high-resolution data is required to 
document and study… 
– episodic events: earthquakes, submarine slides, 
tsunamis, benthic storms, biodiversity changes, 
pollution, gas hydrate release 
– long-term change: temperature change, 
hypoxia, acidification
Cabled Ocean Observatories 
around the World
Ocean Observatories around the 
World 
• Infrastructure development: getting it built 
• Nationalism/regionalism 
• Disciplinary divides 
• Culture change 
…challenge of reassembling the Earth
EMSO 
emso-eu.org
EMSO 
•EMSO provides pan-European power, communications, sensors, and data 
infrastructure for continuous, high resolution, (near) real-time, 
coordinated, interactive ocean observations across a truly multi- and 
interdisciplinary range of research areas that allows the scientific 
community to address these challenges. 
•It brings together not only countries and disciplines, but allows the 
pooling of resources and coordination to assemble harmonised data into a 
comprehensive regional ocean picture which it will then make available to 
researchers and stakeholders worldwide on an open and interoperable 
access basis.
ENVRI 
•Framework 7 project for cooperation among environmental 
research infrastructures in Europe 
•ENVRIplus – next phase H2020 
•Atmosphere, Hydrosphere, Lithosphere, Biosphere 
•Cross cutting tools for: 
–sensor technology 
–data management 
–access 
–societal relevance: economics, ethics, citizen science 
–communications 
–infrastructure management 
envri.eu
CoopEUS 
Objectives: 
• Share knowledge and best practices among EU and US 
Environmental Research Infrastructures. 
• Identify commonalities and gaps between pairs of infrastructures. 
This analysis will define the necessary steps that will lead to 
mutually beneficial long term cooperation and a common roadmap 
on shared priorities. 
• Organize meetings on topics that are relevant for an efficient, 
sustainable operation of the Research Infrastructures. 
• Integrate stakeholder groups. 
• Exchange scientific personnel for time periods of several weeks. 
• Work through use cases. 
coopeus.eu
ONC and OOI 
oceannetworks.ca oceanobservatories.org
CoopEUS 
• Gap analysis and fact finding 
• GEOSS interoperability test 
• Tsunami use case
Gap Analysis 
•Traditionally what is missing for effective collaboration and 
interoperability. 
•However, in a field as young as ocean observing, gaps may 
also indicate limits of technology – for example challenges of 
instrument maturity, deployment maturity, 
communications/network complexity, and in general amount 
of effort to get data on shore. Shared efforts to overcome 
technological challenges are therefore particularly beneficial 
to all parties. 
•In as multidisciplinary a “field” as ocean sciences, gap analysis 
may also indicate where the blind areas are between 
disciplines.
Fact Finding
GEOSS Interoperability Test 
•Robert Huber (EMSO) co-organized a GEOSS workshop July 1- 
2 2014 in Bremen 
•OOI sent Nancy Galbraith (WHOI) as a participant 
•Both have registered data in GEOSS 
http://dataportals.pangaea.de/coopeus/registry.php 
•next steps: automated data registration and interoperability 
tests
Tsunami Use Case 
Tsunami modelling and early warning 
systems for near source areas 
(Mediterranean, Juan de Fuca) -> mutual 
need for tsunami event field data and 
modeling to deepen our experience in 
testing methodology and developing real-time 
data processing
Tsunami Use Case 
•Sensors: agree on settings; gap analysis of 
sensor coverage 
•Data: compare/harmonise/align sensor 
metadata, and registries; data policy and 
access 
•Modeling: collaborative framework for testing 
already available algorithms for tsunami 
detection
Tsunami Use Case 
Tsunami Parameters 
•seafloor ground velocity 
•seafloor ground 
acceleration 
•seismic wave velocity in 
water 
•seafloor water pressure 
•sea-level 
•water density 
•water temperature 
Instruments 
•broad-band 
seismometers 
•accelerometers 
•hydrophones 
•bottom pressure 
sensor 
•CTDs
Tsunami Use Case
Tsunami Use Case
Tsunami Use Case
Tsunami Use Case 
•Working workshop will be held in San 
Francisco, adjacent to AGU 2014, involving 
key people from EMSO, OOI, and ONC 
•Tests of access and analysis of data by 
different partners proceeding
Summary 
• Environmental Research Infrastructures 
• Putting the Earth back together… 
• Big Data Sensor Systems 
• European Distributed Research Infrastructures 
• ENVRI 
• CoopEUS

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RDC Mairi Best - Data Interoperability II

  • 1. Coordination of Environmental Research Infrastructures for Access to Multidisciplinary Earth/Ocean Data: Experience from EMSO CASRAI/RDC meeting, Ottawa, November 19, 2014 Mairi M.R. Best, B.Sc., Ph.D. Consultant on Ocean Observing and Environmental Sensor Systems
  • 2. Overview • Environmental Research Infrastructures institutional/national initiatives, different disciplines/cultures vs. regional to global questions • Putting the Earth back together…
  • 3. My Background • Early involvement in big data and data mining in field based descriptive disciplines • Research focused on sampling and reading of Earth’s historical records • Early user and contributor of open Earth-Ocean data such as NOAA’s NODC/NGDC • Involved in transitions of fields becoming more data rich and quantitative • Led science and installation teams during building of NEPTUNE Canada (ONC)
  • 5. Challenge of Adequately Sampling Natural Processes Continuous, high-resolution data is required to document and study… – episodic events: earthquakes, submarine slides, tsunamis, benthic storms, biodiversity changes, pollution, gas hydrate release – long-term change: temperature change, hypoxia, acidification
  • 6. Cabled Ocean Observatories around the World
  • 7. Ocean Observatories around the World • Infrastructure development: getting it built • Nationalism/regionalism • Disciplinary divides • Culture change …challenge of reassembling the Earth
  • 9. EMSO •EMSO provides pan-European power, communications, sensors, and data infrastructure for continuous, high resolution, (near) real-time, coordinated, interactive ocean observations across a truly multi- and interdisciplinary range of research areas that allows the scientific community to address these challenges. •It brings together not only countries and disciplines, but allows the pooling of resources and coordination to assemble harmonised data into a comprehensive regional ocean picture which it will then make available to researchers and stakeholders worldwide on an open and interoperable access basis.
  • 10. ENVRI •Framework 7 project for cooperation among environmental research infrastructures in Europe •ENVRIplus – next phase H2020 •Atmosphere, Hydrosphere, Lithosphere, Biosphere •Cross cutting tools for: –sensor technology –data management –access –societal relevance: economics, ethics, citizen science –communications –infrastructure management envri.eu
  • 11. CoopEUS Objectives: • Share knowledge and best practices among EU and US Environmental Research Infrastructures. • Identify commonalities and gaps between pairs of infrastructures. This analysis will define the necessary steps that will lead to mutually beneficial long term cooperation and a common roadmap on shared priorities. • Organize meetings on topics that are relevant for an efficient, sustainable operation of the Research Infrastructures. • Integrate stakeholder groups. • Exchange scientific personnel for time periods of several weeks. • Work through use cases. coopeus.eu
  • 12. ONC and OOI oceannetworks.ca oceanobservatories.org
  • 13. CoopEUS • Gap analysis and fact finding • GEOSS interoperability test • Tsunami use case
  • 14. Gap Analysis •Traditionally what is missing for effective collaboration and interoperability. •However, in a field as young as ocean observing, gaps may also indicate limits of technology – for example challenges of instrument maturity, deployment maturity, communications/network complexity, and in general amount of effort to get data on shore. Shared efforts to overcome technological challenges are therefore particularly beneficial to all parties. •In as multidisciplinary a “field” as ocean sciences, gap analysis may also indicate where the blind areas are between disciplines.
  • 16. GEOSS Interoperability Test •Robert Huber (EMSO) co-organized a GEOSS workshop July 1- 2 2014 in Bremen •OOI sent Nancy Galbraith (WHOI) as a participant •Both have registered data in GEOSS http://dataportals.pangaea.de/coopeus/registry.php •next steps: automated data registration and interoperability tests
  • 17. Tsunami Use Case Tsunami modelling and early warning systems for near source areas (Mediterranean, Juan de Fuca) -> mutual need for tsunami event field data and modeling to deepen our experience in testing methodology and developing real-time data processing
  • 18. Tsunami Use Case •Sensors: agree on settings; gap analysis of sensor coverage •Data: compare/harmonise/align sensor metadata, and registries; data policy and access •Modeling: collaborative framework for testing already available algorithms for tsunami detection
  • 19. Tsunami Use Case Tsunami Parameters •seafloor ground velocity •seafloor ground acceleration •seismic wave velocity in water •seafloor water pressure •sea-level •water density •water temperature Instruments •broad-band seismometers •accelerometers •hydrophones •bottom pressure sensor •CTDs
  • 23. Tsunami Use Case •Working workshop will be held in San Francisco, adjacent to AGU 2014, involving key people from EMSO, OOI, and ONC •Tests of access and analysis of data by different partners proceeding
  • 24. Summary • Environmental Research Infrastructures • Putting the Earth back together… • Big Data Sensor Systems • European Distributed Research Infrastructures • ENVRI • CoopEUS