SlideShare a Scribd company logo
1 of 17
Download to read offline
Groundwater Information Network
Boyan Brodaric, Dave Sharpe, Eric Boisvert, Charles Logan, Hazen
  Russell, Heryk Julien, Alex Smirnoff and François Létourneau

                                         A contribution to
                                         Groundwater Geoscience Program
                                         http://sst.rncan.gc.ca/gg-ges/index_e.php
Calls for action

                   GW Data Access
                      §  More online access

                      §  Consolidate access

                      §  Better data quality

                      §  More data (use, monitoring)
                   GW Data Management




            Groundwater Information Network
            Brodaric, et al., Cyberra Summit 2011
                      Banff, Oct. 6, 2011
Interoperability stack


   pragmatic   GW Practices (data usage)


   semantic    GW Ontology (data content)


   schema      GWML, WaterML (data structure)
                                                            Data Domains

                                                           Open standards
    syntax     GML (data language)

    system     WFS, WMS,… (data systems)


                   Groundwater Information Network
                   Brodaric, et al., Cyberra Summit 2011
                             Banff, Oct. 6, 2011
Groundwater Information Network
§  Distributed: YK, BC, AB, SK, MB, ON, QC, NS, USGS
§  Seamless: single virtual online database
§  Standards-based: WMS, WFS, SOS, WaterML, GWML, GeoSciML
§  Multi-access: many portals
§  Multi-data: water well records, key aquifers, monitoring data*
§  Funding: partner supported, seeded by GeoConnections




                           Groundwater Information Network
                           Brodaric, et al., Cyberra Summit 2011
                                     Banff, Oct. 6, 2011
Groundwater Information Network
 Data Portal
  data use      GIN Advanced              GIN Basic             Others
                  3D, analysis               2D


                                    GWML             WaterML2


Data Pipeline
data transfer
                        WMS WFS SOS WPS
                                  Data translation
                                                                Ontology
                                  Data integration
                                                                Catalog
                                  Data download
                                              GML




    Data
 data supply
                               WMS WFS SOS

                NRCan   BC          AB          SK         MB    …       USGS



                        Groundwater Information Network
                        Brodaric, et al., Cyberra Summit 2011
                                  Banff, Oct. 6, 2011
Data                     Data pipeline                           Data portal


             Data: water well characteristics


National* coverage
§  YK, BC, AB, SK, MB, ON, QC, NS
§  ~2,000,000 wells
§  coming soon:
    missing data (talks underway)




                               Groundwater Information Network
                               Brodaric, et al., Cyberra Summit 2011
                                         Banff, Oct. 6, 2011
Data                     Data pipeline                           Data portal


             Data: aquifer characteristics


Key aquifer coverage
§  mapped by NRCan & partners
§  hydro/geological properties
§  coming soon:
    selected provincial aquifer maps




                               Groundwater Information Network
                               Brodaric, et al., Cyberra Summit 2011
                                         Banff, Oct. 6, 2011
Data                         Data pipeline                                          Data portal


              Data: monitoring networks


Cross-border pilot
§  USGS-GIN water well
    characteristics
§  USGS-GIN water levels
§  N. American network?



                 USGS groundwater level                                       Ontario groundwater level



                                     Selected monitoring wells from USGS (red), AB (green dot), and ON (pink dot)




                                    Groundwater Information Network
                                    Brodaric, et al., Cyberra Summit 2011
                                              Banff, Oct. 6, 2011
Data                       Data pipeline                           Data portal


           Data pipeline: data web services

Feature data services (WFS)
§  Serving aquifers, wells, and water bodies*

Sensor data services (SOS)
§  Serving time series data

3D geology services (WPS)
§  Making 3D models from wells & maps

Enhanced querying (WFS, SOS)
§  Enable complex thematic querying

                               Groundwater Information Network
                               Brodaric, et al., Cyberra Summit 2011
                                         Banff, Oct. 6, 2011
Data                    Data pipeline                          Data portal


          Data pipeline: data standards

§  GroundWater Markup Language (GWML 1)
 wells and aquifers
 NRCan (OGC)

§  Geoscience Markup Language (GeoSciML)
 geological formations and materials
 IUGC – CGI (OGC)

§  WaterML2
 water time series data
 OGC - WMO


                          Groundwater Information Network
                          Brodaric, et al., Cyberra Summit 2011
                                    Banff, Oct. 6, 2011
Data pipeline: data standards

                                         GWML1
                                        GeoSciML

                                           WFS



                                        WaterML2

                                           SOS




           Groundwater Information Network
           Brodaric, et al., Cyberra Summit 2011
                     Banff, Oct. 6, 2011
Data pipeline: performance
§  2 provs
  50 wells = 2.17 secs,       1.08 Mb
  500 wells = 15.01 secs,     7.74 Mb
  2500 wells = 69.97 secs,    40.80 Mb
  5000 wells = 142.27 secs,   80.41 Mb




                               Groundwater Information Network
                               Brodaric, et al., Cyberra Summit 2011
                                         Banff, Oct. 6, 2011
Data                   Data pipeline                           Data portal


          Data portal: new advanced site

§  fully operational
 view, query, download wells

§  open access




                          Groundwater Information Network
                          Brodaric, et al., Cyberra Summit 2011
                                    Banff, Oct. 6, 2011
Data              Data pipeline                           Data portal


          Data portal: advanced features

§  3D viewing of wells under land surface




                     Groundwater Information Network
                     Brodaric, et al., Cyberra Summit 2011
                               Banff, Oct. 6, 2011
Data                    Data pipeline                           Data portal


           Data portal: usage statistics

Modest, consistent usage since Mar 2011
§  Re-use by 3rd parties (e.g. Ontario & Gas library, AB WEHUB)
§  Positive feedback from survey of users (i.e. ON drillers assoc.)




                            Groundwater Information Network
                            Brodaric, et al., Cyberra Summit 2011
                                      Banff, Oct. 6, 2011
Summary

GIN fully operational since Mar 2011

Open geospatial data solutions technically
feasible and usable

Greater interoperability being slowly
realized but requires full interop. stack

Barriers include:
§  shift to SOA, including IT policy and technical literacy
§  steep learning curve for open geospatial solutions

                         Groundwater Information Network
                         Brodaric, et al., Cyberra Summit 2011
                                   Banff, Oct. 6, 2011
Thank you – Merci

GIN : Groundwater Information Network
RIES : Réseau d’information sur les eaux souterraines
§  http://gw-info.net
§  http://es-info.net

                                                                 A contribution to
                                                                 Groundwater Geoscience Program
                                                                 http://sst.rncan.gc.ca/gg-ges/index_e.php



       A contribution to the CGDI
       Seed funding from GeoConnections


                               Groundwater Information Network
                               Brodaric, et al., Cyberra Summit 2011
                                         Banff, Oct. 6, 2011

More Related Content

Similar to Groundwater Information Network

Water and Environmental Hub - GEOSS - July 24 2011
Water and Environmental Hub - GEOSS - July 24 2011Water and Environmental Hub - GEOSS - July 24 2011
Water and Environmental Hub - GEOSS - July 24 2011Alex Joseph
 
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...Alex Joseph
 
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...Cybera Inc.
 
Osgeo.wageningen kickoff event nov2012
Osgeo.wageningen kickoff event nov2012Osgeo.wageningen kickoff event nov2012
Osgeo.wageningen kickoff event nov2012pvangenuchten
 
Water and Environmental Hub - CWRA - June 30 2011
Water and Environmental Hub - CWRA - June 30 2011Water and Environmental Hub - CWRA - June 30 2011
Water and Environmental Hub - CWRA - June 30 2011Alex Joseph
 
Profiling Web Archival Voids for Memento Routing
Profiling Web Archival Voids for Memento RoutingProfiling Web Archival Voids for Memento Routing
Profiling Web Archival Voids for Memento RoutingSawood Alam
 
Improving access to geospatial Big Data in the hydrology domain
Improving access to geospatial Big Data in the hydrology domainImproving access to geospatial Big Data in the hydrology domain
Improving access to geospatial Big Data in the hydrology domainClaudia Vitolo
 
Creating a Hydrological Network for the Yukon Territory
Creating a Hydrological Network for the Yukon TerritoryCreating a Hydrological Network for the Yukon Territory
Creating a Hydrological Network for the Yukon TerritorySafe Software
 
Curation and Characterization of Web Services
Curation and Characterization of Web ServicesCuration and Characterization of Web Services
Curation and Characterization of Web ServicesJose Enrique Ruiz
 
ASIH Fishnet2 Presentation
ASIH Fishnet2 PresentationASIH Fishnet2 Presentation
ASIH Fishnet2 PresentationDave Vieglais
 
Thematic Data Dissemination on bhuvan
Thematic Data Dissemination on bhuvanThematic Data Dissemination on bhuvan
Thematic Data Dissemination on bhuvanSonal Aggarwal
 
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...Cybera Inc.
 
Honey on the Wire KohaCon18
Honey on the Wire  KohaCon18Honey on the Wire  KohaCon18
Honey on the Wire KohaCon18Joy Nelson
 
Recent Upgrades to ARM Data Transfer and Delivery Using Globus
Recent Upgrades to ARM Data Transfer and Delivery Using GlobusRecent Upgrades to ARM Data Transfer and Delivery Using Globus
Recent Upgrades to ARM Data Transfer and Delivery Using GlobusGlobus
 
Virtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchVirtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchUniversity of Washington
 
Water Point Mapping for Local Level Decision Making
Water Point Mapping for  Local Level Decision MakingWater Point Mapping for  Local Level Decision Making
Water Point Mapping for Local Level Decision Making IRC
 
Visualising Victoria’s Groundwater
Visualising Victoria’s GroundwaterVisualising Victoria’s Groundwater
Visualising Victoria’s GroundwaterHelen Thompson
 

Similar to Groundwater Information Network (20)

Water and Environmental Hub - GEOSS - July 24 2011
Water and Environmental Hub - GEOSS - July 24 2011Water and Environmental Hub - GEOSS - July 24 2011
Water and Environmental Hub - GEOSS - July 24 2011
 
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...
Water and Environmental Hub - MP Michell Rempel at University of Lethbridge -...
 
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...
A GeoPortal for Canadian Groundwater Data - Boyan Brodaric, Natural Resources...
 
Osgeo.wageningen kickoff event nov2012
Osgeo.wageningen kickoff event nov2012Osgeo.wageningen kickoff event nov2012
Osgeo.wageningen kickoff event nov2012
 
Water and Environmental Hub - CWRA - June 30 2011
Water and Environmental Hub - CWRA - June 30 2011Water and Environmental Hub - CWRA - June 30 2011
Water and Environmental Hub - CWRA - June 30 2011
 
Profiling Web Archival Voids for Memento Routing
Profiling Web Archival Voids for Memento RoutingProfiling Web Archival Voids for Memento Routing
Profiling Web Archival Voids for Memento Routing
 
The Map as a Fundamental Source in the Memory of the World
The Map as a Fundamental Source in the Memory of the WorldThe Map as a Fundamental Source in the Memory of the World
The Map as a Fundamental Source in the Memory of the World
 
Improving access to geospatial Big Data in the hydrology domain
Improving access to geospatial Big Data in the hydrology domainImproving access to geospatial Big Data in the hydrology domain
Improving access to geospatial Big Data in the hydrology domain
 
Creating a Hydrological Network for the Yukon Territory
Creating a Hydrological Network for the Yukon TerritoryCreating a Hydrological Network for the Yukon Territory
Creating a Hydrological Network for the Yukon Territory
 
Curation and Characterization of Web Services
Curation and Characterization of Web ServicesCuration and Characterization of Web Services
Curation and Characterization of Web Services
 
ASIH Fishnet2 Presentation
ASIH Fishnet2 PresentationASIH Fishnet2 Presentation
ASIH Fishnet2 Presentation
 
Thematic Data Dissemination on bhuvan
Thematic Data Dissemination on bhuvanThematic Data Dissemination on bhuvan
Thematic Data Dissemination on bhuvan
 
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...
GeoCENS presentation on Angelo Coast Range Reserve Environmental Sensor Obse...
 
Honey on the Wire KohaCon18
Honey on the Wire  KohaCon18Honey on the Wire  KohaCon18
Honey on the Wire KohaCon18
 
Recent Upgrades to ARM Data Transfer and Delivery Using Globus
Recent Upgrades to ARM Data Transfer and Delivery Using GlobusRecent Upgrades to ARM Data Transfer and Delivery Using Globus
Recent Upgrades to ARM Data Transfer and Delivery Using Globus
 
WDNR Hydrography Geodatabase
WDNR Hydrography GeodatabaseWDNR Hydrography Geodatabase
WDNR Hydrography Geodatabase
 
Virtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible ResearchVirtual Appliances, Cloud Computing, and Reproducible Research
Virtual Appliances, Cloud Computing, and Reproducible Research
 
Semantic interoperability
Semantic interoperabilitySemantic interoperability
Semantic interoperability
 
Water Point Mapping for Local Level Decision Making
Water Point Mapping for  Local Level Decision MakingWater Point Mapping for  Local Level Decision Making
Water Point Mapping for Local Level Decision Making
 
Visualising Victoria’s Groundwater
Visualising Victoria’s GroundwaterVisualising Victoria’s Groundwater
Visualising Victoria’s Groundwater
 

More from Cybera Inc.

Cyber Summit 2016: Technology, Education, and Democracy
Cyber Summit 2016: Technology, Education, and DemocracyCyber Summit 2016: Technology, Education, and Democracy
Cyber Summit 2016: Technology, Education, and DemocracyCybera Inc.
 
Cyber Summit 2016: Understanding Users' (In)Secure Behaviour
Cyber Summit 2016: Understanding Users' (In)Secure BehaviourCyber Summit 2016: Understanding Users' (In)Secure Behaviour
Cyber Summit 2016: Understanding Users' (In)Secure BehaviourCybera Inc.
 
Cyber Summit 2016: Insider Threat Indicators: Human Behaviour
Cyber Summit 2016: Insider Threat Indicators: Human BehaviourCyber Summit 2016: Insider Threat Indicators: Human Behaviour
Cyber Summit 2016: Insider Threat Indicators: Human BehaviourCybera Inc.
 
Cyber Summit 2016: Research Data and the Canadian Innovation Challenge
Cyber Summit 2016: Research Data and the Canadian Innovation ChallengeCyber Summit 2016: Research Data and the Canadian Innovation Challenge
Cyber Summit 2016: Research Data and the Canadian Innovation ChallengeCybera Inc.
 
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big Data
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big DataCyber Summit 2016: Knowing More and Understanding Less in the Age of Big Data
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big DataCybera Inc.
 
Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCybera Inc.
 
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...Cybera Inc.
 
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...Cybera Inc.
 
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing DataCyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing DataCybera Inc.
 
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...Cybera Inc.
 
Privacy, Security & Access to Data
Privacy, Security & Access to DataPrivacy, Security & Access to Data
Privacy, Security & Access to DataCybera Inc.
 
Do Universities Dream of Big Data
Do Universities Dream of Big DataDo Universities Dream of Big Data
Do Universities Dream of Big DataCybera Inc.
 
Predicting the Future With Microsoft Bing
Predicting the Future With Microsoft BingPredicting the Future With Microsoft Bing
Predicting the Future With Microsoft BingCybera Inc.
 
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analyticsAnalytics 101: How to not fail at analytics
Analytics 101: How to not fail at analyticsCybera Inc.
 
Are MOOC's past their peak?
Are MOOC's past their peak?Are MOOC's past their peak?
Are MOOC's past their peak?Cybera Inc.
 
Opening the doors of the laboratory
Opening the doors of the laboratoryOpening the doors of the laboratory
Opening the doors of the laboratoryCybera Inc.
 
Open City - Edmonton
Open City - EdmontonOpen City - Edmonton
Open City - EdmontonCybera Inc.
 
Unlocking the power of healthcare data
Unlocking the power of healthcare dataUnlocking the power of healthcare data
Unlocking the power of healthcare dataCybera Inc.
 
Checking in on Healthcare Data Analytics
Checking in on Healthcare Data AnalyticsChecking in on Healthcare Data Analytics
Checking in on Healthcare Data AnalyticsCybera Inc.
 
Open access and open data: international trends and strategic context
Open access and open data: international trends and strategic contextOpen access and open data: international trends and strategic context
Open access and open data: international trends and strategic contextCybera Inc.
 

More from Cybera Inc. (20)

Cyber Summit 2016: Technology, Education, and Democracy
Cyber Summit 2016: Technology, Education, and DemocracyCyber Summit 2016: Technology, Education, and Democracy
Cyber Summit 2016: Technology, Education, and Democracy
 
Cyber Summit 2016: Understanding Users' (In)Secure Behaviour
Cyber Summit 2016: Understanding Users' (In)Secure BehaviourCyber Summit 2016: Understanding Users' (In)Secure Behaviour
Cyber Summit 2016: Understanding Users' (In)Secure Behaviour
 
Cyber Summit 2016: Insider Threat Indicators: Human Behaviour
Cyber Summit 2016: Insider Threat Indicators: Human BehaviourCyber Summit 2016: Insider Threat Indicators: Human Behaviour
Cyber Summit 2016: Insider Threat Indicators: Human Behaviour
 
Cyber Summit 2016: Research Data and the Canadian Innovation Challenge
Cyber Summit 2016: Research Data and the Canadian Innovation ChallengeCyber Summit 2016: Research Data and the Canadian Innovation Challenge
Cyber Summit 2016: Research Data and the Canadian Innovation Challenge
 
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big Data
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big DataCyber Summit 2016: Knowing More and Understanding Less in the Age of Big Data
Cyber Summit 2016: Knowing More and Understanding Less in the Age of Big Data
 
Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and ReuseCyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
Cyber Summit 2016: Privacy Issues in Big Data Sharing and Reuse
 
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
 
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
 
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing DataCyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
 
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
 
Privacy, Security & Access to Data
Privacy, Security & Access to DataPrivacy, Security & Access to Data
Privacy, Security & Access to Data
 
Do Universities Dream of Big Data
Do Universities Dream of Big DataDo Universities Dream of Big Data
Do Universities Dream of Big Data
 
Predicting the Future With Microsoft Bing
Predicting the Future With Microsoft BingPredicting the Future With Microsoft Bing
Predicting the Future With Microsoft Bing
 
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analyticsAnalytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
 
Are MOOC's past their peak?
Are MOOC's past their peak?Are MOOC's past their peak?
Are MOOC's past their peak?
 
Opening the doors of the laboratory
Opening the doors of the laboratoryOpening the doors of the laboratory
Opening the doors of the laboratory
 
Open City - Edmonton
Open City - EdmontonOpen City - Edmonton
Open City - Edmonton
 
Unlocking the power of healthcare data
Unlocking the power of healthcare dataUnlocking the power of healthcare data
Unlocking the power of healthcare data
 
Checking in on Healthcare Data Analytics
Checking in on Healthcare Data AnalyticsChecking in on Healthcare Data Analytics
Checking in on Healthcare Data Analytics
 
Open access and open data: international trends and strategic context
Open access and open data: international trends and strategic contextOpen access and open data: international trends and strategic context
Open access and open data: international trends and strategic context
 

Recently uploaded

WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Recently uploaded (20)

WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Groundwater Information Network

  • 1. Groundwater Information Network Boyan Brodaric, Dave Sharpe, Eric Boisvert, Charles Logan, Hazen Russell, Heryk Julien, Alex Smirnoff and François Létourneau A contribution to Groundwater Geoscience Program http://sst.rncan.gc.ca/gg-ges/index_e.php
  • 2. Calls for action GW Data Access §  More online access §  Consolidate access §  Better data quality §  More data (use, monitoring) GW Data Management Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 3. Interoperability stack  pragmatic GW Practices (data usage)  semantic GW Ontology (data content)  schema GWML, WaterML (data structure) Data Domains Open standards  syntax GML (data language)  system WFS, WMS,… (data systems) Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 4. Groundwater Information Network §  Distributed: YK, BC, AB, SK, MB, ON, QC, NS, USGS §  Seamless: single virtual online database §  Standards-based: WMS, WFS, SOS, WaterML, GWML, GeoSciML §  Multi-access: many portals §  Multi-data: water well records, key aquifers, monitoring data* §  Funding: partner supported, seeded by GeoConnections Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 5. Groundwater Information Network Data Portal data use GIN Advanced GIN Basic Others 3D, analysis 2D GWML WaterML2 Data Pipeline data transfer WMS WFS SOS WPS Data translation Ontology Data integration Catalog Data download GML Data data supply WMS WFS SOS NRCan BC AB SK MB … USGS Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 6. Data Data pipeline Data portal Data: water well characteristics National* coverage §  YK, BC, AB, SK, MB, ON, QC, NS §  ~2,000,000 wells §  coming soon: missing data (talks underway) Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 7. Data Data pipeline Data portal Data: aquifer characteristics Key aquifer coverage §  mapped by NRCan & partners §  hydro/geological properties §  coming soon: selected provincial aquifer maps Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 8. Data Data pipeline Data portal Data: monitoring networks Cross-border pilot §  USGS-GIN water well characteristics §  USGS-GIN water levels §  N. American network? USGS groundwater level Ontario groundwater level Selected monitoring wells from USGS (red), AB (green dot), and ON (pink dot) Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 9. Data Data pipeline Data portal Data pipeline: data web services Feature data services (WFS) §  Serving aquifers, wells, and water bodies* Sensor data services (SOS) §  Serving time series data 3D geology services (WPS) §  Making 3D models from wells & maps Enhanced querying (WFS, SOS) §  Enable complex thematic querying Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 10. Data Data pipeline Data portal Data pipeline: data standards §  GroundWater Markup Language (GWML 1) wells and aquifers NRCan (OGC) §  Geoscience Markup Language (GeoSciML) geological formations and materials IUGC – CGI (OGC) §  WaterML2 water time series data OGC - WMO Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 11. Data pipeline: data standards GWML1 GeoSciML WFS WaterML2 SOS Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 12. Data pipeline: performance §  2 provs 50 wells = 2.17 secs, 1.08 Mb 500 wells = 15.01 secs, 7.74 Mb 2500 wells = 69.97 secs, 40.80 Mb 5000 wells = 142.27 secs, 80.41 Mb Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 13. Data Data pipeline Data portal Data portal: new advanced site §  fully operational view, query, download wells §  open access Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 14. Data Data pipeline Data portal Data portal: advanced features §  3D viewing of wells under land surface Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 15. Data Data pipeline Data portal Data portal: usage statistics Modest, consistent usage since Mar 2011 §  Re-use by 3rd parties (e.g. Ontario & Gas library, AB WEHUB) §  Positive feedback from survey of users (i.e. ON drillers assoc.) Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 16. Summary GIN fully operational since Mar 2011 Open geospatial data solutions technically feasible and usable Greater interoperability being slowly realized but requires full interop. stack Barriers include: §  shift to SOA, including IT policy and technical literacy §  steep learning curve for open geospatial solutions Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011
  • 17. Thank you – Merci GIN : Groundwater Information Network RIES : Réseau d’information sur les eaux souterraines §  http://gw-info.net §  http://es-info.net A contribution to Groundwater Geoscience Program http://sst.rncan.gc.ca/gg-ges/index_e.php A contribution to the CGDI Seed funding from GeoConnections Groundwater Information Network Brodaric, et al., Cyberra Summit 2011 Banff, Oct. 6, 2011