RDC Mairi Best - Data Interoperability II
Transcript of RDC Mairi Best - Data Interoperability II
Coordination of Environmental Research Infrastructures for Access to Multidisciplinary Earth/Ocean Data:
Experience from EMSOCASRAI/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 Infrastructuresinstitutional/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)
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
Ocean Observatories around the World
• Infrastructure development: getting it built• Nationalism/regionalism• Disciplinary divides• Culture change
…challenge of reassembling the Earth
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
CoopEUSObjectives: • 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
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.
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 CaseTsunami 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
•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