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COBWEB Summit
OGC TC Dublin,
21st June, 2016
Chris Higgins
chris.higgins@ed.ac.uk
Sta
Agenda
Time Who Slot Notes
Tues 21st June, 2016
1245-1300 Arrival
1300-1330 Chris Welcome, context
1330-1400 MichaelK/
AndreasM
German demonstrator
1400-1445 Barnard/UCD Semantics the UCD way
1445-1515 Coffee
1515-1600 Ingo/Rob Modelling progress
1600-1630 AndreasM Privacy and security
1630-1700 Mike/UNOTT Quality Assurance
Objectives
• Inform participants of the work
undertaken under COBWEB
• Stimulate discussion around the more
problematic and challenging areas
• Identify requirements for future work
in respect of interoperability and
standardisation
• Help me distill some takeaway lessons
from COBWEB for the TC
Introduction to COBWEB
• Research Project: Funded (EUR6.5M)
under the European Commission’s
Framework Programme 7
• SME Targeted Collaborative project
• Required to work within GEOSS
framework
• Started Nov 2012, ends Oct 31st 2016
(4 years)
Big Picture #1
• Explosion in availability of smartphones and tablets equals
great potential for “citizens as sensors”
• How to make the data gathered usable and reusable?
• What quality measures are needed?
• How to reduce uncertainty?
• How can crowdsourced environmental data aid decision
making?
• How can our crowdsourced data be conflated with
reference data and be deployed in standards based
Spatial Data Infrastructures?
Big Picture #2
• COBWEB set out to research and develop a “generic
crowdsourcing infrastructure platform”
• toolkit which can be downloaded and used in
multiple scenarios
• Use and reuse potential of these data (cit sci) is
significant but currently compromised by a lack of
interoperability
• Large volumes of data are being created but exist in
silos
• Useable standards either don’t exist, are neglected,
poorly understood or tooling is unavailable
Project Partners
UNESCO World Network of Biosphere Reserves
Sites of excellence to foster
harmonious integration of people and
nature for sustainable development
through participation, knowledge
sharing, poverty reduction and human
well-being improvements, cultural
values and society's ability to cope
with change, thus contributing to the
Millennium Development Goals
COBWEB Biosphere Reserves
Biosffer Dyfi Biosphere
Mount Olympus
Gorge of Samaria
Wadden See & Hallig islands
COBWEB is not a collection of Apps…
A number of demonstrator mobile phone
applications
– Exactly what, deliberately left open and
subject to discussion with community
3 pilot case study areas:
1. Validating earth
observation products
2. Biological monitoring
3. Flooding
Co-design
COBWEB Framework
Technology Readiness Levels (TRL)
TRL Definition
1 basic principles observed
2 technology concept formulated
3 experimental proof of concept
4 technology validated in lab
5 technology validated in relevant environment (industrially
relevant environment in the case of key enabling technologies)
6 technology demonstrated in relevant environment (industrially
relevant environment in the case of key enabling technologies)
7 system prototype demonstration in operational environment
8 system complete and qualified
9 actual system proven in operational environment (competitive
manufacturing in the case of key enabling technologies; or in
space)
Project characteristics
Mainly
medium to
high TRLs
High TRLs
By definition,
lower TRLs
1. Commission wants production strength outputs
that contribute to GEOSS development
2. An “SME Targeted Collaborative” project
• 30% EU contribution to SMEs
3. Develop 'citizens' observatories’
• Mobilise citizens
• Emphasised during Grant Negotiation
• “Co-design” fund established
4. A research project doing innovative work
• Crowdsourced environmental data to aid decision
making
High TRLs
Key components at different TRL’s
• QA workflow editor
• QA WPS/services
• Conflation
• Sensor networks
• GeoNetwork/Portal
• Middleware
• Authoring tool/Survey designer
• Apps
• User management and privacy
• Access control
• Authentication
View COBWEB Portal
COBWEB Framework
The COBWEB version of GeoNetwork
• Open source implementation of the OGC
Catalogue Services for the Web
• Input and storage schemas:
– ISO19139, ISO199115-1
• Alternative output schemas available:
– Dublin core
– SensorML
– DCAT
– PPSR_CORE
• Supports registration of ‘surveys’ or ‘citizen
science projects’
FieldtripOpen
FieldtripOpen - Customise your own app for your survey
FieldtripOpen - Customise your own app for your survey
FieldtripOpen - Customise your own app for your survey
Citizen captures data on their phone
COBWEB Framework
Classifying quality: Seven pillars
Pillar Example Test Notes
Pillar 1 – Location Based
services
Assessment of spatial
accuracy – estimate from a
mobile device and number
of satellites
Tests often carried out on
the mobile device
Pillar 2 – Cleaning Removal of junk data via
an attribute text check
Very lightweight, can flag
or remove malicious entries
Pillar 3 – Automatic
validation
Analysis whether an image
is blurry
Higher level testing, often
used to assess ranges
Pillar 4 – Comparison with
authoritative data
Use of a set of boundary
polygons to check whether
an observation is in or out
Wide variety of tests that
involve comparison with
what it known
Pillar 5 – Model based
validation
Running a flood model Can be complex, and may
also include question based
modeling
Pillar 6 – Big/Linked data Querying Twitter via a
hashtag for similar
phenomena
Tapping into large
databases such as sensor
records and social media
Pillar 7 – Semantic
harmonisation
Rationalisation of entries
via an ontology
Attempts to recognise
multiple entries of the
same observation
Quality process web editor
COBWEB Framework
Conflation
• Combination of spatial data from multiple
sources to produce a combined view that
contains the most valuable data from the inputs
• Used in Quality Assurance
• Used for data enrichment, eg, from sensors
• OGC Web Processing Service interface used
SWE4CS
Publishing
Data
SWE4CS – introduces semantics
SWE4CS – Why bother?
• If a significant amount of Cit Sci data can
be published to this standard
• It becomes more useful; its immediately
understood by people who understand
the standard
• The same tooling can be used and reused
• Integration costs decrease
Sustainability #1
• Intending to open source as many of
the COBWEB components as possible
• FieldtripOpen into OSGeo one option
and looking at the incubation process
• SME’s leading this aspect of COBWEB
Sustainability #2
• Creation of a Citizen Science DWG would be /
will be a significant output
– as long as has community support
• Reliant upon new projects picking up on
outputs, eg, followon citizen observatory’s
• Would like to, eg, via a hackathon, make
benefits demonstrable and broadcast, but
– SWE4CS currently a moving target
– can we conclude with something like a v1 in association
with the Best Practice paper in Sept 2016?

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COBWEB Summit at the OGC TC Dublin, 2016

  • 1. COBWEB Summit OGC TC Dublin, 21st June, 2016 Chris Higgins chris.higgins@ed.ac.uk Sta
  • 2. Agenda Time Who Slot Notes Tues 21st June, 2016 1245-1300 Arrival 1300-1330 Chris Welcome, context 1330-1400 MichaelK/ AndreasM German demonstrator 1400-1445 Barnard/UCD Semantics the UCD way 1445-1515 Coffee 1515-1600 Ingo/Rob Modelling progress 1600-1630 AndreasM Privacy and security 1630-1700 Mike/UNOTT Quality Assurance
  • 3. Objectives • Inform participants of the work undertaken under COBWEB • Stimulate discussion around the more problematic and challenging areas • Identify requirements for future work in respect of interoperability and standardisation • Help me distill some takeaway lessons from COBWEB for the TC
  • 4. Introduction to COBWEB • Research Project: Funded (EUR6.5M) under the European Commission’s Framework Programme 7 • SME Targeted Collaborative project • Required to work within GEOSS framework • Started Nov 2012, ends Oct 31st 2016 (4 years)
  • 5. Big Picture #1 • Explosion in availability of smartphones and tablets equals great potential for “citizens as sensors” • How to make the data gathered usable and reusable? • What quality measures are needed? • How to reduce uncertainty? • How can crowdsourced environmental data aid decision making? • How can our crowdsourced data be conflated with reference data and be deployed in standards based Spatial Data Infrastructures?
  • 6. Big Picture #2 • COBWEB set out to research and develop a “generic crowdsourcing infrastructure platform” • toolkit which can be downloaded and used in multiple scenarios • Use and reuse potential of these data (cit sci) is significant but currently compromised by a lack of interoperability • Large volumes of data are being created but exist in silos • Useable standards either don’t exist, are neglected, poorly understood or tooling is unavailable
  • 8. UNESCO World Network of Biosphere Reserves Sites of excellence to foster harmonious integration of people and nature for sustainable development through participation, knowledge sharing, poverty reduction and human well-being improvements, cultural values and society's ability to cope with change, thus contributing to the Millennium Development Goals
  • 9. COBWEB Biosphere Reserves Biosffer Dyfi Biosphere Mount Olympus Gorge of Samaria Wadden See & Hallig islands
  • 10. COBWEB is not a collection of Apps… A number of demonstrator mobile phone applications – Exactly what, deliberately left open and subject to discussion with community 3 pilot case study areas: 1. Validating earth observation products 2. Biological monitoring 3. Flooding
  • 13. Technology Readiness Levels (TRL) TRL Definition 1 basic principles observed 2 technology concept formulated 3 experimental proof of concept 4 technology validated in lab 5 technology validated in relevant environment (industrially relevant environment in the case of key enabling technologies) 6 technology demonstrated in relevant environment (industrially relevant environment in the case of key enabling technologies) 7 system prototype demonstration in operational environment 8 system complete and qualified 9 actual system proven in operational environment (competitive manufacturing in the case of key enabling technologies; or in space)
  • 14. Project characteristics Mainly medium to high TRLs High TRLs By definition, lower TRLs 1. Commission wants production strength outputs that contribute to GEOSS development 2. An “SME Targeted Collaborative” project • 30% EU contribution to SMEs 3. Develop 'citizens' observatories’ • Mobilise citizens • Emphasised during Grant Negotiation • “Co-design” fund established 4. A research project doing innovative work • Crowdsourced environmental data to aid decision making High TRLs
  • 15. Key components at different TRL’s • QA workflow editor • QA WPS/services • Conflation • Sensor networks • GeoNetwork/Portal • Middleware • Authoring tool/Survey designer • Apps • User management and privacy • Access control • Authentication
  • 18. The COBWEB version of GeoNetwork • Open source implementation of the OGC Catalogue Services for the Web • Input and storage schemas: – ISO19139, ISO199115-1 • Alternative output schemas available: – Dublin core – SensorML – DCAT – PPSR_CORE • Supports registration of ‘surveys’ or ‘citizen science projects’
  • 20. FieldtripOpen - Customise your own app for your survey
  • 21. FieldtripOpen - Customise your own app for your survey
  • 22. FieldtripOpen - Customise your own app for your survey
  • 23. Citizen captures data on their phone
  • 25. Classifying quality: Seven pillars Pillar Example Test Notes Pillar 1 – Location Based services Assessment of spatial accuracy – estimate from a mobile device and number of satellites Tests often carried out on the mobile device Pillar 2 – Cleaning Removal of junk data via an attribute text check Very lightweight, can flag or remove malicious entries Pillar 3 – Automatic validation Analysis whether an image is blurry Higher level testing, often used to assess ranges Pillar 4 – Comparison with authoritative data Use of a set of boundary polygons to check whether an observation is in or out Wide variety of tests that involve comparison with what it known Pillar 5 – Model based validation Running a flood model Can be complex, and may also include question based modeling Pillar 6 – Big/Linked data Querying Twitter via a hashtag for similar phenomena Tapping into large databases such as sensor records and social media Pillar 7 – Semantic harmonisation Rationalisation of entries via an ontology Attempts to recognise multiple entries of the same observation
  • 28. Conflation • Combination of spatial data from multiple sources to produce a combined view that contains the most valuable data from the inputs • Used in Quality Assurance • Used for data enrichment, eg, from sensors • OGC Web Processing Service interface used
  • 31. SWE4CS – Why bother? • If a significant amount of Cit Sci data can be published to this standard • It becomes more useful; its immediately understood by people who understand the standard • The same tooling can be used and reused • Integration costs decrease
  • 32. Sustainability #1 • Intending to open source as many of the COBWEB components as possible • FieldtripOpen into OSGeo one option and looking at the incubation process • SME’s leading this aspect of COBWEB
  • 33. Sustainability #2 • Creation of a Citizen Science DWG would be / will be a significant output – as long as has community support • Reliant upon new projects picking up on outputs, eg, followon citizen observatory’s • Would like to, eg, via a hackathon, make benefits demonstrable and broadcast, but – SWE4CS currently a moving target – can we conclude with something like a v1 in association with the Best Practice paper in Sept 2016?