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Railway track and loading gauges
1,676 mm (5 ft 6 in)        Indian gauge
1,668 mm (5 ft 5 2⁄3 in)    Iberian gauge
1,600 mm (5 ft 3 in)        Irish gauge
1,588 mm (5 ft 2 1⁄2 in)    Pennsylvania Trolley Gauge
1,581 mm (5 ft 2 1⁄4 in)    Pennsylvania Trolley Gauge
1,524 mm (5 ft)             Russian gauge
1,520 mm (4 ft 11 5⁄6 in)   Russian gauge
1,435 mm (4 ft 8 1⁄2 in)    Standard gauge
1,372 mm (4 ft 6 in)        Scotch gauge
1,067 mm (3 ft 6 in)        CAP gauge or Cape gauge by UIC
1,000 mm (3 ft 3 3⁄8 in)    Metre gauge
                                           Gov erned ationale
                            Italian metre gauge Intern
950 mm (3 ft 1 3⁄8 in)
                                               n         e fer,
891 mm (2 ft 11 1⁄10 in)                 (Unio
                            Swedish narrow gauge mins d
                                               e            n
                                       de s Ch       l Unio
                                              a tiona s)
                                        Intern ailway
                                             of R
An e-Science infrastructure
                for biodiversity research


                          Alex Hardisty
LifeWatch Technical Construction Team
        and
Director of Informatics Projects
School of Computer Science & Informatics
What is LifeWatch?
• An e-Science infrastructure
  – Exploration of patterns of biodiversity and
    processes of biodiversity across time and
    space
  – What causes species diversity?
• A European Research Infrastructure
  –   Distributed observatories / sensors
  –   Databases, processing and analytical tools
  –   Computational capability and capacity
  –   Collaborative environments
  –   Support, training, partnering, fellowship
• Open access, single portal
Intergovernmental Platform on
                          Biodiversity and Ecosystem Services

        “Representatives of 86 governments recommend that
        UNGA 65 should be invited to … take appropriate
        action to establish the platform [IPBES]”
        Supported by:




Based on a presentation given by Ibrahim Thiaw, UN Environment Programme
Film: Introduction & 2 case studies
• No.1 European research infrastructure for
  biodiversity
  – Represents a new methodological approach to
    understanding biodiversity as a whole interacting
    system
  – Integrating across scales: Genomic; organism;
    habitat; ecosystem; landscape
• Bird strike monitoring
  – Understanding the patterns & behaviours of bird
    movements can help improve aviation safety
• Urban sprawl
  – Achieving balance between development of urban
    areas and conservation of biodiversity
Mission
The mission of LifeWatch is to construct
and operate a distributed infrastructure for
biodiversity and ecosystem science based
upon Europe-wide strategies implemented
at the local level: individuals, research
groups, institutions, countries.

In cooperation with National LifeWatch Initiatives, LifeWatch provides:
• Organisation;
• Technical direction & governance;
• Core ICT infrastructure;
• Management of the LifeWatch “Product”; and,
• Community support.
Aspiration: An integrating “Infrastructure”
             for biodiversity research
•     Full range of functions across multiple scales
     –   Data gathering and generation; data management,
         integration and modelling; diverse applications
     –   Genomic; organism; habitat; ecosystem; landscape

•     Benefits to the research community
     1. Discovery and access to a wide variety of data –
        species, genetic, ecological and abiotic – to support
        biodiversity research
     2. Manage / merge data from multiple sources
     3. Taxonomic support e.g., authoritative species lists and
        taxonomic classifications, digitisation-on-demand
     4. Spatial mapping of data; INSPIRE compliance
     5. Sharing of workflows, collaboration and community-
        building
A community driven e-Infrastructure
           • Centres, distributed across
             countries offer services to users
              – ICT oriented (computer
                centres, data centres),
                human oriented (service
                centres), or a combination

           • User projects create their own
             e-laboratories or e-services

           • They share their data and
             algorithms with others, while
             controlling access
Status: The LifeWatch timeline
1995                         2005             2008             2011                    2016
                                                                                              Operation &
       Earlier projects          Conception     Preparations            Construction
                                                                                               Evolution
                                                     €5m                  ~ €375m




                          2008                       2009                   2010

Political                                      initial                       final
commitment                                    decision                     decision


Construction                                                            logistics
‘blue print’                                                          construction
Status: The Preparatory Project
Contracted participants
          Countries                           8 countries
                                              negotiating
                                              the start-up
    Scientific networks

  27 executive partners

     Other partners
       Data networks

 International infrastructures

        User sectors

           Industry
Our requirements
Jigsaw of challenges
• All the usual:
  – Technical
  – Fitness-for-purpose and ease of use
  – Integration of multiple resources
  – Open and based on industry standards
  – Existing technological solutions as far as
    possible
  – Operational at the earliest opportunity
  – Staged; not everything available on ‘day 1’

• HETEROGENEITY, GAP, SCALE, PACE, FIT
5 challenges (and 5+ solutions)
• HETEROGENEITY of the community’s
  requirements, its data resources and tools
From Peterson et al (2010), Syst Biodivers 8(2), 159-168
From Guralnick and Hill (2010), http://www.slideshare.net/robgur/ievobio-keynote-talk-2010




                                                                                        Challenge of HETEROGENEITY: Interconnected
                                                                                       nature of biodiversity ideas, outputs, repositories
Solution for HETEROGENEITY: An SOA approach
Solution for HETEROGENEITY: Semantic
         interoperability through knowledge management
                      Addison's disease              Clinical
                                                     Clinical
                       (id:363732003)              repositories
                                                   repositories
                                                                                Genetic
                                                                                 Genetic
                                                                             knowledge bases
                                                                             knowledge bases
                         Other
                         Other                       SNOMED CT
                      subdomains
                      subdomains                                    OMIM

                                               …

                                                                           MeSH      Biomedical
                                                                                     Biomedical
                                                         UMLS                         literature
                                                                                      literature
                                               NCBI      C0001403
                                             Taxonomy                         Addison Disease (id:D000224)

                           Model                                    GO
                           Model
                         organisms                      FMA
                         organisms
Unified Medical Language System (UMLS)                                        Genome
                                                                               Genome
from: Olivier Bodenreider,
Lister Hill National Center for Biomedical          Anatomy
                                                    Anatomy                  annotations
                                                                             annotations
Comunications, Bethesda, Maryland, USA
Semantic Types                  Anatomical
                                  Structure

                   Fully Formed
                    Anatomical                Embryonic
                     Structure                 Structure
                                                                       Disease or
                                                                       Syndrome
           Body Part, Organ or
            Organ Component                                Pharmacologic              Population               Semantic
                                                             Substance                  Group                  Network




                                                                                                       Metathesaurus
                                   Medias-         Saccular
                                 5  tinum           Viscus
                                                                     Angina
                                                                  49 Pectoris
              Esophagus
            16
                                                               Cardiotonic
                                     Heart
                                                              237 Agents
      Left Phrenic
         Nerve
                                                          Tissue
                        Heart           Fetal          38 Donors
                                                                             Unified Medical Language System (UMLS)
                     13 Valves       22 Heart                                from: Olivier Bodenreider,
Concepts                                                                     Lister Hill National Center for Biomedical
                                                                             Comunications, Bethesda, Maryland, USA
5 challenges (and 5+ solutions)
• HETEROGENEITY of the community’s
  requirements, its data resources and tools
• GAP between current practice and future
  vision
GAP: Between current practice and future vision

                              “collaborative, distributed research
                              methods that exploit advanced
                              computational thinking”
                              Malcolm Atkinson, 2007
    “When we begin the study of any
    science, we are in the situation, …
    We ought to form no idea but what is a
    necessary consequence, and
    immediate effect, of an experiment or
    observation …
    We should proceed from the known
    facts to the unknown”

    Antoine Lavoisier, 1789
The biodiversity system cannot                                 Experimentation on a few
be described by the simple sum                                 parameters is not enough.
of its components and their                                    There are limits to scaling
relations                                                      results in order to
                                                               understand system
                                                               properties.



                                                                          Compare with:
                                                                         systems biology,
                                                                         human physiome




                 Analysis of enormous biodiversity datasets,
                 spanning scale from genetic to species to
                 ecosystem to landscape. Find patterns and
                 learn processes. Systems thinking


     Source: W.Los, modified by A.Hardisty
GAP solution: Workflow paradigm
           Workflow                 Workflow                  Workflow


                      used in                                     used in


                       Show case workflows
BioDivCapability BioDivCapability BioDivCapability BioDivCapability ..… BioDivCapability
                       1 Biodiversity Richness Analysis And Conservation Evaluation
                       2 Biological Valuation Map
        delivers       3 Automated Retrieval delivers
                                               and Analysis of GBIF records
                       4 Past behaviour and Future Scenarios
                       5 Bioclimatic Modelling and Global Climate Change
   Workflow         Workflow
                       6 Phylogenetic Analysis and Biogeography    ..…    Workflow
                       7 Ecological Niche Modelling
                       8 Urban Development and Biodiversity Loss
      used in          9 Renewable Energy Planning               used in
                       10 Hierarchical Scaling of Biodiversity in Lagoon Ecosystems
                       11 Bird Strike Monitoring
Service Service Service Service Service Service Service Service Service Service Service
                       12 Earth Observation
5 challenges (and 5+ solutions)
• HETEROGENEITY of the community’s
  requirements, its data resources and tools
• GAP between current practice and future
  vision
• SCALE of implementation of a pan-
  European infrastructure, €375m, >25,000
  users
Challenge of SCALE: Users and data generators in
            the large Networks of Excellence


Terrestrial Long-Term
                                                           Natural science
Ecological Research     Marine reference and focal sites
                                                           collections
(LTER) sites
SCALE solution:
       Thinking globally, acting locally
• Organisation
  – Top-down financial and legal governance model
  – Project Office
• Technical direction and governance
  – LifeWatch Reference Model
  – Processes to support compliance
  – Bottom-up community governance model
• Core ICT infrastructure
• Management of the product
  – Product Management Board & Release strategy
• Support to the community
  – Service Centre(s), Technical operations support
Core ICT (e-)Infrastructure
• Essential 'central' components
  –   Single portal access for all users
  –   Datasets & services / tools catalogues (registries)
  –   Access to computational resources
  –   Security (AAA)
  –   Provenance and citation tracking repository
  –   Annotations repository
  –   Virtual Collaborative Environments / VO / BTCN
  –   Workflow composition, execution and management
• Data & tool resources
  – New data resources to be ‘admitted’
  – Statistical, analytical & modelling tools
• Innovation Lab
• Intellectual property management
5 challenges (and 5+ solutions)
• HETEROGENEITY of the community’s
  requirements, its data resources and tools
• GAP between current practice and future
  vision
• SCALE of implementation of a pan-
  European infrastructure, €375m, >25,000
  users
• PACE of innovation in ICTs
Challenge of PACE: Of innovation in ICT
• New technologies, products, services,
  possibilities, every day
  – Seeing the wood for the trees


• Technology decisions
  – 2 years ago for construction that won’t
    start until next year
  – that have to last for 10 years?
PACE solution:
Divorce functionalities from technologies

• LifeWatch Reference Model
  – Basis of technical strategy
• Standards-based
  – ORCHESTRA RM
  – OGC RM
  – RM for ODP (ISO/IEC 10746)

• Viewpoints
  – Enterprise, Information, Service
  – Engineering, Technology
The LifeWatch Reference Model (‘LifeWatch-RM’)

Gives 3 freedoms:

• Technology independence

• Ability to extend
  technical capabilities
   – Functionalities
     expressed as services
   – Applications as
     networks of service
     instances

• Support for thematic
  extensions
5 challenges (and 5+ solutions)
• HETEROGENEITY of the community’s
  requirements, its data resources and tools
• GAP between current practice and future
  vision
• SCALE of implementation of a pan-
  European infrastructure, €375m, >25,000
  users
• PACE of innovation in ICTs
• FIT with mainstream industry and Higher
  Education / Research sector directions for
  ICT service
Challenge of FIT: e-Research lifecycle, Science 2.0




Source: De Roure (Southampton), Lyon (UKOLN)
Challenge of FIT: Collaboration infrastructure




Source: Niels van Dijk, SURFnet, Netherlands
FIT solution: A clear blueprint
                            “…shows sufficient ambition, but
                            also realism for the next few years”

                            External reviewers, June 2010
         Technical
        construction
                                                                     Appli
                                                                      ser
     1. Coordination & management; central staff
     2. Core ICT Infrastructure                                 1.   Core
     3. Data processing (incl. Analytical &                     2.   Supp
        Modelling tools)                                        3.   Supp
     4. Data Resources                           Enabling
                                              accelerated and   4.   Them
     5. Portal                                 targeted data
     6. Technical Framework and Architecture     generation
                                         1.   External Data Facilities
                                         2.   Marine sites
                                         3.   Sensor data resources and
       Innovation Lab                    4.   Systematics collections
                                         5.   Taxonomic backbone
FIT solution: Solutions for authentication
Shibboleth and OpenID, not X.509!




Source: Texas Digital Library
FIT solution: Linked Data




                August 2010: >19billion triples
                http://esw.w3.org/TaskForces/CommunityProjects/
                LinkingOpenData/DataSets/Statistics
In conclusion
Thinking globally, Acting locally
  The mechanism to address
  the socio-technical challenge
  of bringing communities
  together and uniting them
  behind common technical
  approaches

Reference model,
  open standards,
      composable capabilities
  Leads to interoperability and
  flexibility to accommodate
  novelty
Thank you
• Questions?




• Acknowledgements
  – LifeWatch colleagues, in particular:
     • Axel Poigné and Vera Hernandez-Ernst, Fraunhofer
       IAIS, Germany for much of the Reference Model
     • Herbert Schentz, Umweltbundesamt GmbH, Austria
       for assistance and thinking on semantic
       interoperability

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EGIforum-Amsterdam-15-Sep2010

  • 1.
  • 2.
  • 3. Railway track and loading gauges 1,676 mm (5 ft 6 in) Indian gauge 1,668 mm (5 ft 5 2⁄3 in) Iberian gauge 1,600 mm (5 ft 3 in) Irish gauge 1,588 mm (5 ft 2 1⁄2 in) Pennsylvania Trolley Gauge 1,581 mm (5 ft 2 1⁄4 in) Pennsylvania Trolley Gauge 1,524 mm (5 ft) Russian gauge 1,520 mm (4 ft 11 5⁄6 in) Russian gauge 1,435 mm (4 ft 8 1⁄2 in) Standard gauge 1,372 mm (4 ft 6 in) Scotch gauge 1,067 mm (3 ft 6 in) CAP gauge or Cape gauge by UIC 1,000 mm (3 ft 3 3⁄8 in) Metre gauge Gov erned ationale Italian metre gauge Intern 950 mm (3 ft 1 3⁄8 in) n e fer, 891 mm (2 ft 11 1⁄10 in) (Unio Swedish narrow gauge mins d e n de s Ch l Unio a tiona s) Intern ailway of R
  • 4.
  • 5.
  • 6. An e-Science infrastructure for biodiversity research Alex Hardisty LifeWatch Technical Construction Team and Director of Informatics Projects School of Computer Science & Informatics
  • 7. What is LifeWatch? • An e-Science infrastructure – Exploration of patterns of biodiversity and processes of biodiversity across time and space – What causes species diversity? • A European Research Infrastructure – Distributed observatories / sensors – Databases, processing and analytical tools – Computational capability and capacity – Collaborative environments – Support, training, partnering, fellowship • Open access, single portal
  • 8. Intergovernmental Platform on Biodiversity and Ecosystem Services “Representatives of 86 governments recommend that UNGA 65 should be invited to … take appropriate action to establish the platform [IPBES]” Supported by: Based on a presentation given by Ibrahim Thiaw, UN Environment Programme
  • 9. Film: Introduction & 2 case studies • No.1 European research infrastructure for biodiversity – Represents a new methodological approach to understanding biodiversity as a whole interacting system – Integrating across scales: Genomic; organism; habitat; ecosystem; landscape • Bird strike monitoring – Understanding the patterns & behaviours of bird movements can help improve aviation safety • Urban sprawl – Achieving balance between development of urban areas and conservation of biodiversity
  • 10. Mission The mission of LifeWatch is to construct and operate a distributed infrastructure for biodiversity and ecosystem science based upon Europe-wide strategies implemented at the local level: individuals, research groups, institutions, countries. In cooperation with National LifeWatch Initiatives, LifeWatch provides: • Organisation; • Technical direction & governance; • Core ICT infrastructure; • Management of the LifeWatch “Product”; and, • Community support.
  • 11. Aspiration: An integrating “Infrastructure” for biodiversity research • Full range of functions across multiple scales – Data gathering and generation; data management, integration and modelling; diverse applications – Genomic; organism; habitat; ecosystem; landscape • Benefits to the research community 1. Discovery and access to a wide variety of data – species, genetic, ecological and abiotic – to support biodiversity research 2. Manage / merge data from multiple sources 3. Taxonomic support e.g., authoritative species lists and taxonomic classifications, digitisation-on-demand 4. Spatial mapping of data; INSPIRE compliance 5. Sharing of workflows, collaboration and community- building
  • 12. A community driven e-Infrastructure • Centres, distributed across countries offer services to users – ICT oriented (computer centres, data centres), human oriented (service centres), or a combination • User projects create their own e-laboratories or e-services • They share their data and algorithms with others, while controlling access
  • 13. Status: The LifeWatch timeline 1995 2005 2008 2011 2016 Operation & Earlier projects Conception Preparations Construction Evolution €5m ~ €375m 2008 2009 2010 Political initial final commitment decision decision Construction logistics ‘blue print’ construction
  • 14. Status: The Preparatory Project Contracted participants Countries 8 countries negotiating the start-up Scientific networks 27 executive partners Other partners Data networks International infrastructures User sectors Industry
  • 16. Jigsaw of challenges • All the usual: – Technical – Fitness-for-purpose and ease of use – Integration of multiple resources – Open and based on industry standards – Existing technological solutions as far as possible – Operational at the earliest opportunity – Staged; not everything available on ‘day 1’ • HETEROGENEITY, GAP, SCALE, PACE, FIT
  • 17. 5 challenges (and 5+ solutions) • HETEROGENEITY of the community’s requirements, its data resources and tools
  • 18. From Peterson et al (2010), Syst Biodivers 8(2), 159-168 From Guralnick and Hill (2010), http://www.slideshare.net/robgur/ievobio-keynote-talk-2010 Challenge of HETEROGENEITY: Interconnected nature of biodiversity ideas, outputs, repositories
  • 19. Solution for HETEROGENEITY: An SOA approach
  • 20. Solution for HETEROGENEITY: Semantic interoperability through knowledge management Addison's disease Clinical Clinical (id:363732003) repositories repositories Genetic Genetic knowledge bases knowledge bases Other Other SNOMED CT subdomains subdomains OMIM … MeSH Biomedical Biomedical UMLS literature literature NCBI C0001403 Taxonomy Addison Disease (id:D000224) Model GO Model organisms FMA organisms Unified Medical Language System (UMLS) Genome Genome from: Olivier Bodenreider, Lister Hill National Center for Biomedical Anatomy Anatomy annotations annotations Comunications, Bethesda, Maryland, USA
  • 21. Semantic Types Anatomical Structure Fully Formed Anatomical Embryonic Structure Structure Disease or Syndrome Body Part, Organ or Organ Component Pharmacologic Population Semantic Substance Group Network Metathesaurus Medias- Saccular 5 tinum Viscus Angina 49 Pectoris Esophagus 16 Cardiotonic Heart 237 Agents Left Phrenic Nerve Tissue Heart Fetal 38 Donors Unified Medical Language System (UMLS) 13 Valves 22 Heart from: Olivier Bodenreider, Concepts Lister Hill National Center for Biomedical Comunications, Bethesda, Maryland, USA
  • 22. 5 challenges (and 5+ solutions) • HETEROGENEITY of the community’s requirements, its data resources and tools • GAP between current practice and future vision
  • 23. GAP: Between current practice and future vision “collaborative, distributed research methods that exploit advanced computational thinking” Malcolm Atkinson, 2007 “When we begin the study of any science, we are in the situation, … We ought to form no idea but what is a necessary consequence, and immediate effect, of an experiment or observation … We should proceed from the known facts to the unknown” Antoine Lavoisier, 1789
  • 24. The biodiversity system cannot Experimentation on a few be described by the simple sum parameters is not enough. of its components and their There are limits to scaling relations results in order to understand system properties. Compare with: systems biology, human physiome Analysis of enormous biodiversity datasets, spanning scale from genetic to species to ecosystem to landscape. Find patterns and learn processes. Systems thinking Source: W.Los, modified by A.Hardisty
  • 25. GAP solution: Workflow paradigm Workflow Workflow Workflow used in used in Show case workflows BioDivCapability BioDivCapability BioDivCapability BioDivCapability ..… BioDivCapability 1 Biodiversity Richness Analysis And Conservation Evaluation 2 Biological Valuation Map delivers 3 Automated Retrieval delivers and Analysis of GBIF records 4 Past behaviour and Future Scenarios 5 Bioclimatic Modelling and Global Climate Change Workflow Workflow 6 Phylogenetic Analysis and Biogeography ..… Workflow 7 Ecological Niche Modelling 8 Urban Development and Biodiversity Loss used in 9 Renewable Energy Planning used in 10 Hierarchical Scaling of Biodiversity in Lagoon Ecosystems 11 Bird Strike Monitoring Service Service Service Service Service Service Service Service Service Service Service 12 Earth Observation
  • 26. 5 challenges (and 5+ solutions) • HETEROGENEITY of the community’s requirements, its data resources and tools • GAP between current practice and future vision • SCALE of implementation of a pan- European infrastructure, €375m, >25,000 users
  • 27. Challenge of SCALE: Users and data generators in the large Networks of Excellence Terrestrial Long-Term Natural science Ecological Research Marine reference and focal sites collections (LTER) sites
  • 28. SCALE solution: Thinking globally, acting locally • Organisation – Top-down financial and legal governance model – Project Office • Technical direction and governance – LifeWatch Reference Model – Processes to support compliance – Bottom-up community governance model • Core ICT infrastructure • Management of the product – Product Management Board & Release strategy • Support to the community – Service Centre(s), Technical operations support
  • 29. Core ICT (e-)Infrastructure • Essential 'central' components – Single portal access for all users – Datasets & services / tools catalogues (registries) – Access to computational resources – Security (AAA) – Provenance and citation tracking repository – Annotations repository – Virtual Collaborative Environments / VO / BTCN – Workflow composition, execution and management • Data & tool resources – New data resources to be ‘admitted’ – Statistical, analytical & modelling tools • Innovation Lab • Intellectual property management
  • 30. 5 challenges (and 5+ solutions) • HETEROGENEITY of the community’s requirements, its data resources and tools • GAP between current practice and future vision • SCALE of implementation of a pan- European infrastructure, €375m, >25,000 users • PACE of innovation in ICTs
  • 31. Challenge of PACE: Of innovation in ICT • New technologies, products, services, possibilities, every day – Seeing the wood for the trees • Technology decisions – 2 years ago for construction that won’t start until next year – that have to last for 10 years?
  • 32. PACE solution: Divorce functionalities from technologies • LifeWatch Reference Model – Basis of technical strategy • Standards-based – ORCHESTRA RM – OGC RM – RM for ODP (ISO/IEC 10746) • Viewpoints – Enterprise, Information, Service – Engineering, Technology
  • 33. The LifeWatch Reference Model (‘LifeWatch-RM’) Gives 3 freedoms: • Technology independence • Ability to extend technical capabilities – Functionalities expressed as services – Applications as networks of service instances • Support for thematic extensions
  • 34. 5 challenges (and 5+ solutions) • HETEROGENEITY of the community’s requirements, its data resources and tools • GAP between current practice and future vision • SCALE of implementation of a pan- European infrastructure, €375m, >25,000 users • PACE of innovation in ICTs • FIT with mainstream industry and Higher Education / Research sector directions for ICT service
  • 35. Challenge of FIT: e-Research lifecycle, Science 2.0 Source: De Roure (Southampton), Lyon (UKOLN)
  • 36. Challenge of FIT: Collaboration infrastructure Source: Niels van Dijk, SURFnet, Netherlands
  • 37. FIT solution: A clear blueprint “…shows sufficient ambition, but also realism for the next few years” External reviewers, June 2010 Technical construction Appli ser 1. Coordination & management; central staff 2. Core ICT Infrastructure 1. Core 3. Data processing (incl. Analytical & 2. Supp Modelling tools) 3. Supp 4. Data Resources Enabling accelerated and 4. Them 5. Portal targeted data 6. Technical Framework and Architecture generation 1. External Data Facilities 2. Marine sites 3. Sensor data resources and Innovation Lab 4. Systematics collections 5. Taxonomic backbone
  • 38. FIT solution: Solutions for authentication Shibboleth and OpenID, not X.509! Source: Texas Digital Library
  • 39. FIT solution: Linked Data August 2010: >19billion triples http://esw.w3.org/TaskForces/CommunityProjects/ LinkingOpenData/DataSets/Statistics
  • 40. In conclusion Thinking globally, Acting locally The mechanism to address the socio-technical challenge of bringing communities together and uniting them behind common technical approaches Reference model, open standards, composable capabilities Leads to interoperability and flexibility to accommodate novelty
  • 41. Thank you • Questions? • Acknowledgements – LifeWatch colleagues, in particular: • Axel Poigné and Vera Hernandez-Ernst, Fraunhofer IAIS, Germany for much of the Reference Model • Herbert Schentz, Umweltbundesamt GmbH, Austria for assistance and thinking on semantic interoperability