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Open Data
Anders Quitzau, Innovation Executive
              andersq@dk.ibm.com




                                       1
IBM Open Data

What is Open Data ?

Open data is:
•  Data that is generally provided at no cost and with no license constraint
•  Machine readable and often people readable
•  Accessed via files or APIs especially for linked data. The data may be static or dynamic.

Why is Open Data being used ?
•  Transparency : to build stakeholder understanding and confidence. Increasing data visibility
   both inside and outside the organization
•  Cost efficiency: to reduce the cost and effort of developing, operating and delivering
   services (both IT and civic services)
•  Economic : to enable innovation by small agile businesses to develop
   new insight, new services and new products (e.g. tools for ‘co-creation’, innovative
   systems of engagement)

Who?
•  Governments agencies and the research community
•  Private industry looking for a competitive advantage



                                           © 2013 IBM Corporation
                                                                                                  2
Open Data is big and growing


McKinsey and Associates estimates the                                                Potential revenue to EU governments
annual economic value of big, open liquid                                            could be around €27 b - Gartner
health data at about $350 billion annually


Open data today:
162 governments
43 countries
> 1 million data sets




                  “The API which has easily 10 times
                  More traffic than the website,


                                    Open weather data collected by the National
                                    Oceanic and Atmospheric Association has an
                                    annual estimated economic value of $10 billion



                                                                                                “$7bn worth of items on
                                                                                                eBay through APIs” of items on eBay through
                                                                                                         “$7bn worth
           h"p://visual.ly/open-­‐data-­‐movement	
  

                                                                                                                            3
IBM Open Data

And in Denmark – Open Data movement is emerging




                             © 2013 IBM Corporation
And IBM is participating…..
                Maintains a catalog of open
                data provided by city                           TJW Research project to build
                governments with                                a semantic model for smart
                visualization tools and                         cities
                collaboration


                Developed strategies for
                creating visualizations that                    Web site with Cognos
                can enable citizens make                        software that can be used
     Helsinki   use of and benefit from                         to visualize open data
                open data                        ManyEyes	
  


                Research project with the
                                                   Nantes       Intelligent transportation
                City of Minneapolis. Uses
  CoOp	
        internal and open data to
                improve Traffic, Public
                                                 Intelligent
                                               Transportation
                                                                is using Open Data from
                                                                Nantes to feed Traffic
                                                                Prediction
                Safety, Planning KPI’s



                Open data portal to
                                                                Uses open data to create
                facilitate data-driven
                                                                high-resolution weather
                innovation in an urban
                                                                forecasts
                environment




                                                                                             5
IBM Open Data

Buildings – UK public buildings – example




                                © 2013 IBM Corporation
IBM Open Data

New York City OpenData – Building Footprints




                               © 2013 IBM Corporation
Dublinked – Open data as a catalyst for innovation and
economic development


                                               •    Open	
  Data	
  from	
  
                                                    public	
  sector	
  for	
  
                                                    public	
  –	
  and	
  
                                                    restricted	
  -­‐	
  
                                                    consump=on	
  


                                               •    Innova=on	
  
                                                    network	
  of	
  
                                                    academic,	
  public	
  &	
  
                                                    commercial	
  
                                                    research	
  


                                               •    Sandbox	
  for	
  
                                                    experiment	
  and	
  
                                                    test	
  plus	
  poten=al	
  
                                                    roll-­‐out	
  
IBM Open Data

Dublinked Site Update




                                           •     New	
  data	
  added	
  almost	
  daily	
  
                                           •     Increasing	
  spread	
  of	
  contribu=on	
  from	
  
                                                 Authori=es	
  
                                           •     Live	
  data	
  is	
  most	
  downloaded	
  
                                           •     NUIM	
  now	
  managing	
  members	
  directly	
  
                                           	
  
                                           Content	
  is	
  growing	
  nicely,	
  our	
  focus	
  has	
  shiLed	
  to	
  
                                           differen=ated	
  func=on	
  ….	
  
                                           	
  
                                           How	
  can	
  we	
  make	
  Dublinked	
  the	
  most	
  advanced	
  
                                           Data	
  Ecosystem	
  in	
  the	
  World?	
  

                        © 2013 IBM Corporation
IBM Open Data

Information layers on; on; Traffic sensors, finding, buildings, air quality,
  Information layers Traffic sensors, way way finding, buildings, air
  Dublin city data
noise, cycling, road works,road works, complaints...
  quality, noise, cycling, complaints...

      Fire Brigade, Waste, Water,
           Transport, Utilities




    Parks, Planning, Environment,
    Heritage, Litter, Maintenance




   Arts, Culture, Sports & Recreation




    Housing, Social and Community
               Services




                                                                        © 2010 IBM Corporation
                                        © 2013 IBM Corporation
IBM Open Data

Live data: Integrate live streaming data (via IBM System S)
  Next steps: live data
Next steps: Integrate live streaming data (via IBM System S)


  Real Time  data  goes  “stale  “  very  quickly  and  
        becomes historic data`.




  DCC has Real Time data on Dublin Bus Fleet

  Allows IBM access to data and provide server space.

  1000 vehicles provide location information every 20 – 30 Seconds


                                 © 2013 IBM Corporation
                                                                     © 2010 IBM Corporation
IBM Open Data

Linked Open Data
      All data is now using publishing using linked data standards – i.e. the data is
    structured in a way that that it can be interlinked and become more useful. This
   allows DUBLinked to share information in a way that can be read automatically by
      any computer via the internet. This enables data from different sources to be
                                 connected and queried.




                                         © 2013 IBM Corporation
IBM Open Data



Benefits seen - Dublinked


•  Interrnal Efficiency Benefits

•  Demonstrate that city administrators are doing a reasonable, good job

•  Demonstrate that you are complying with regulatory requirements and
   reporting

•  Compare yourself with other organisations, cities, countries etc

•  Grow new businesses and jobs




                                   © 2013 IBM Corporation
IBM Open Data

Open Data Start-up Mypp.ie




                             © 2013 IBM Corporation
IBM Open Data

Linked Open Data - Continued
   Metadata	
  is	
  linked	
  to	
  external	
  websites,	
  like	
  DBPedia,	
  when	
  appropriate.	
  This	
  removes	
  
 ambiguity	
  when	
  talking	
  about	
  things	
  (e.g.	
  “Apple”	
  –	
  the	
  fruit	
  or	
  the	
  manufacturer	
  of	
  iPads	
  ?)	
  
                                      and	
  can	
  allow	
  cross-­‐site	
  query	
  capability:	
  




                                                                   © 2013 IBM Corporation
IBM Open Data

Linked Open Data - Continued
  Metadata is linked to external vocabularies, like IPSV, when appropriate. This allows
        cross linking to other open data sites that use the same vocabularies:




                                          © 2013 IBM Corporation
IBM Open Data

Online mapping of files with geospatial fields
    Files	
  that	
  contain	
  geospa=al	
  informa=on	
  such	
  as	
  longitude	
  and	
  la=tude	
  can	
  be	
  mapped	
  
                                                    automa=cally	
  :	
  




                                                             © 2013 IBM Corporation
IBM Open Data

Example ReasonableCity
 Problem	
  
 How	
  can	
  we	
  provide	
  City	
  decision	
  makers	
  with	
  explana=ons	
  and	
  diagnoses	
  
 for	
  events	
  by	
  applying	
  machine	
  reasoning	
  techniques	
  to	
  a	
  fusion	
  of	
  
 massive,	
  rich,	
  complex	
  and	
  dynamic	
  data?	
  How	
  can	
  we	
  move	
  from	
  
 explana=on	
  to	
  predic=on?	
  

 Challenges	
  
       •  Iden?fying	
  relevant	
  data	
  and	
  informa=on	
  
       •  Capturing	
  and	
  represen?ng	
  anomalies	
  
       •  Correla?ng	
  knowledge	
  on	
  heterogeneous	
  data	
  sources	
  
       •  Advanced	
  fusion	
  of	
  data	
  
 Goals	
  
             •    Iden=fica=on	
  of	
  the	
  nature	
  and	
  cause	
  of	
  changes	
  
             •    Explaining	
  logical	
  connec?on	
  of	
  knowledge	
  across	
  space	
  and	
  =me	
  
             •    Move	
  from	
  explana=on	
  to	
  predic=on	
  


                                 Detection to Diagnosis?



                              Anomaly Detected:
                              Delayed buses,
                              congested
                              roads
                                                                        © 2013 IBM Corporation
IBM Open Data


  Next steps: Gov2Gov and beyond
And there certainlyinterest in interest in Dublinked
There is very broad is broad Dublinked


    Property management      Commercial valuations
                             and rates                         Business & Retail



   Housing
                                                                         Tourism
   Mapping
                                                                            Events
                                  Pool resources
                                  Share results
  Demographics                                                            Heritage

                                                                       Environment
   Crime

                                                                    Waste Collection
      Health
                                                  Fault Reporting          Water
                Transport & Access
                                 Planning
                                    © 2013 IBM Corporation                     © 2010 IBM Corporation
IBM Open Data

Emerging Business Models, examples

•  Premium Product / Service. HospitalRegisters.com

•  Freemium Product / Service. public transportation in urban areas.

•  Open Source. OpenCorporates and OpenPolis

•  Infrastructural Razor & Blades. Public Data Sets on Amazon Web Service

•  Demand-Oriented Platform. DataMarket and Infochimps

•  Supply-Oriented Platform. Socrata and Microsoft Open Government Data Initiative

•  Free, as Branded Advertising. IBM City Forward, IBM Many Eyes or Google Public
   Data Explorer

•  White-Label Development.. This business model has not consolidated yet, but some
   embryonic attempts seem to be particularly promising.
Source: Business Model & Policy Innovation Unit at the Istituto Superiore Mario Boella



                                                                                         © 2013 IBM Corporation
IBM Open Data

Dublinked membership fee structure




                               © 2013 IBM Corporation
IBM Open Data


Next steps
 Dublinked & Social Program Data:
    –  Release non-sensitive social data to Dublinked
    –  For example, Housing Stock data
    –  Research on anonymisation & privacy

 Research for Smarter Social Programs (outside Dublinked)

    –  Multilevel analysis of high-cost/high-need regions and citizens
         •  Identify regions where service providers are overloaded or inaccessible
         •  Recommend alternative service providers to balance demand
         •  Forecast regions that will become problematic

    –  Identifying patterns to provide recommendations for interventions
         •  Identify patterns for those that are chronically homeless
         •  Highlight those that are identified as returning to recommend intervention

    –  Forecasting future requirements and emerging ‘hot spots’
         •  Are risk factors, such as substance abuse, propagated through the social graph?
         •  Are social costs	
  propagated	
  through	
  the	
  social	
  or	
  spa=al	
  graph?	
  	
  

                                                     © 2013 IBM Corporation
IBM Open Data

How to open up data

•  Collect the data together into a single file or set of files.
•  Resolve any licensing conflicts; for instance, different parts of the same dataset may be
   owned by different parties.
•  Choose an open data license, such as the Open Data Commons Attribution License.
   Alternatives, including share-alike licenses are available from the Open Data Commons site.
•  Upload the data to a publicly-accessible part of your website. Registration should not be
   required to access the data.
•  Include the following information along with the data:
    •  License details (from step 3)
    •  Technical details of the format that the data is stored in. Note that this does not need to
       be a standard format, as long as you can explain it to users, but it should not be in
       formats that require proprietary software to use (such as XLS), or in non-machine-
       readable formats (such as PDF).
    •  Details of when the data was last updated, and will be updated next.
    •  Provenance of the data, including details of original creator.
    •  Methodology information, such as how data was collected, calibrated, and transformed
       prior to upload.
    (credit: http://opendatahandbook.org)

                                               © 2013 IBM Corporation
IBM Open Data

Open data is ‘just’ data, but there are a few new considerations
 Most current         To date Open                Open Data is by                                                                   Open Data can       Open Data is                          Open Data
 Open Data sets       Data has been               its very nature                                                                   come from           part of a                             represents a
 are not that         mostly static ,but          diverse in                                                                        anywhere with       spectrum of                           value migration
 large, but they      real-time data              content, format                                                                   no guarantees       visibility Most                       from the data
 are growing          streams growing             and semantic                                                                      about quality or    orgs have a mix                       itself to higher
                      (e.g.. COSM)                and can be                                                                        authenticity        of data from                          value analytics
                                                  linked                                                                                                private to open                       and service

                                    Big	
  Data	
  
     Volume	
            Velocity	
                         Variety	
                                                                 Veracity	
           Visibility	
                            Value	
  




     Data	
  at	
        Data	
  in	
              Data	
  in	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
        Data	
  in	
         Data	
  in	
  	
  	
  	
  	
         Data	
  of	
  
      Rest	
             Mo?on	
                  Many	
  Forms	
                                                                      Doubt	
             the	
  Open	
                       Many	
  Values	
  
   Terabytes to       Streaming data,                                                                                          Uncertainty due to
                                                    Structured,                                                                                           Open data is
   exabytes of        milliseconds to                                                                                          data inconsistency                                            Large range of data
                                                   unstructured,                                                                                        generally open to
  existing data to       seconds to                                                                                            & incompleteness,                                               values from free
                                                 text, multimedia                                                                                        anyone. Which
      process             respond                                                                                                  ambiguities,                                               (data philanthropy
                                                                                                                                                         raises issues of
                                                                                                                               latency, deception,                                              to high value
                                                                                                                                                        privacy. Security
                                                                                                                                      model                                                      monetization
                                                                                                                                                        and provenance
                                                                                                                                 approximations

                        Big Data + Open Data + Co-Creation = New opportunities
                                                                                     © 2013 IBM Corporation
                                                                                                                                                                                                                 24
IBM Open Data


 The technology; Conceptual roadmap for the system
    Open Innovation Portal

            Publication & Annotation                     Privacy & Security                    Challenges include ..

                                                                                                  Scalable privacy and security of
                                                                                                             resources
             Catalog & Navigation                         Search & Query                         Automated assimilation and sharing
                                                                                                            of resources

         Knowledge Representation &
                                                      Visualization & Analytics
                Reasoning                                                                          Robust models to organize and
                                                                                                   represent resources and their
                                                                                                              context
                             Open REST Web Services API

                                                                                                 Represent knowledge efficiently for
                                                                                                 continuous machine reasoning and
                                                                                                             diagnosis
  Enterprise Platform
    IBM IOC                                     IBM Connections                                       Compose resources for
                                                                                                     development, mash-up &
    Interaction with Industry Solutions         Content Sharing & Collaboration                            visualization


    IBM Enterprise Cloud

    Scalable compute, storage & network infrastructure

                                                                                                   Key           IBM Research

                                                                                                           IBM Products & Services
                  Dublin                  Provider      Enterprise                   Citizen
                  City                    1…N                                                                 Partners & People
                                                            © 2013 IBM Corporation                                   © 2010 IBM Corporation
IBM Open Data

IBM have the technologies to deliver a scalable and robust Open Data
platform
Value Proposition:
•  IBM has the strength & depth of technology
   to help clients exploit Open Data as a
   Strategic Information Asset
•  We can bring a robust Data lifecycle
   management & governance ( trust,
   privacy, . ) approach to Open Data, This is
   key !
IBM have technologies needed e.g. :
•  Information Server for data quality
•  Vivisimo (for linked data access ) & Initiate
   for federated Master Data Management
•  Guardium for privacy management and
   Optim for application archive
•  Infosphere Streams for Data-in-Motion
•  BigInsights Hadoop-based analysis
•  New Cloud-hosted spreadsheet functionality


                                           © 2013 IBM Corporation
                                                                       26
IBM Open Data

Having opened up – now what?

•  Tell the world!
     •  Understanding your audience
     •  Post your material on third-party sites
     •  Making your communications more social-media friendly
•  Social media
•  Engage the publich:
     •  Unconferences, Meetups and Barcamps

•  Making things! Challenges, requests, hackdays, prizes and prototypes




•  (credits: http://opendatahandbook.org)
                                            © 2013 IBM Corporation
IBM Open Data




                Anders	
  Quitzau,	
  Innova=on	
  Execu=ve	
  –	
  andersq@dk.ibm.com	
  
                 Peter	
  Lange,	
  CTO	
  IBM	
  Smarter	
  Ci=es	
  –	
  petlan@dk.ibm.com	
  



                                      © 2013 IBM Corporation

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IBM Open Data

  • 1. Open Data Anders Quitzau, Innovation Executive andersq@dk.ibm.com 1
  • 2. IBM Open Data What is Open Data ? Open data is: •  Data that is generally provided at no cost and with no license constraint •  Machine readable and often people readable •  Accessed via files or APIs especially for linked data. The data may be static or dynamic. Why is Open Data being used ? •  Transparency : to build stakeholder understanding and confidence. Increasing data visibility both inside and outside the organization •  Cost efficiency: to reduce the cost and effort of developing, operating and delivering services (both IT and civic services) •  Economic : to enable innovation by small agile businesses to develop new insight, new services and new products (e.g. tools for ‘co-creation’, innovative systems of engagement) Who? •  Governments agencies and the research community •  Private industry looking for a competitive advantage © 2013 IBM Corporation 2
  • 3. Open Data is big and growing McKinsey and Associates estimates the Potential revenue to EU governments annual economic value of big, open liquid could be around €27 b - Gartner health data at about $350 billion annually Open data today: 162 governments 43 countries > 1 million data sets “The API which has easily 10 times More traffic than the website, Open weather data collected by the National Oceanic and Atmospheric Association has an annual estimated economic value of $10 billion “$7bn worth of items on eBay through APIs” of items on eBay through “$7bn worth h"p://visual.ly/open-­‐data-­‐movement   3
  • 4. IBM Open Data And in Denmark – Open Data movement is emerging © 2013 IBM Corporation
  • 5. And IBM is participating….. Maintains a catalog of open data provided by city TJW Research project to build governments with a semantic model for smart visualization tools and cities collaboration Developed strategies for creating visualizations that Web site with Cognos can enable citizens make software that can be used Helsinki use of and benefit from to visualize open data open data ManyEyes   Research project with the Nantes Intelligent transportation City of Minneapolis. Uses CoOp   internal and open data to improve Traffic, Public Intelligent Transportation is using Open Data from Nantes to feed Traffic Prediction Safety, Planning KPI’s Open data portal to Uses open data to create facilitate data-driven high-resolution weather innovation in an urban forecasts environment 5
  • 6. IBM Open Data Buildings – UK public buildings – example © 2013 IBM Corporation
  • 7. IBM Open Data New York City OpenData – Building Footprints © 2013 IBM Corporation
  • 8. Dublinked – Open data as a catalyst for innovation and economic development •  Open  Data  from   public  sector  for   public  –  and   restricted  -­‐   consump=on   •  Innova=on   network  of   academic,  public  &   commercial   research   •  Sandbox  for   experiment  and   test  plus  poten=al   roll-­‐out  
  • 9. IBM Open Data Dublinked Site Update •  New  data  added  almost  daily   •  Increasing  spread  of  contribu=on  from   Authori=es   •  Live  data  is  most  downloaded   •  NUIM  now  managing  members  directly     Content  is  growing  nicely,  our  focus  has  shiLed  to   differen=ated  func=on  ….     How  can  we  make  Dublinked  the  most  advanced   Data  Ecosystem  in  the  World?   © 2013 IBM Corporation
  • 10. IBM Open Data Information layers on; on; Traffic sensors, finding, buildings, air quality, Information layers Traffic sensors, way way finding, buildings, air Dublin city data noise, cycling, road works,road works, complaints... quality, noise, cycling, complaints... Fire Brigade, Waste, Water, Transport, Utilities Parks, Planning, Environment, Heritage, Litter, Maintenance Arts, Culture, Sports & Recreation Housing, Social and Community Services © 2010 IBM Corporation © 2013 IBM Corporation
  • 11. IBM Open Data Live data: Integrate live streaming data (via IBM System S) Next steps: live data Next steps: Integrate live streaming data (via IBM System S) Real Time  data  goes  “stale  “  very  quickly  and   becomes historic data`. DCC has Real Time data on Dublin Bus Fleet Allows IBM access to data and provide server space. 1000 vehicles provide location information every 20 – 30 Seconds © 2013 IBM Corporation © 2010 IBM Corporation
  • 12. IBM Open Data Linked Open Data All data is now using publishing using linked data standards – i.e. the data is structured in a way that that it can be interlinked and become more useful. This allows DUBLinked to share information in a way that can be read automatically by any computer via the internet. This enables data from different sources to be connected and queried. © 2013 IBM Corporation
  • 13. IBM Open Data Benefits seen - Dublinked •  Interrnal Efficiency Benefits •  Demonstrate that city administrators are doing a reasonable, good job •  Demonstrate that you are complying with regulatory requirements and reporting •  Compare yourself with other organisations, cities, countries etc •  Grow new businesses and jobs © 2013 IBM Corporation
  • 14. IBM Open Data Open Data Start-up Mypp.ie © 2013 IBM Corporation
  • 15. IBM Open Data Linked Open Data - Continued Metadata  is  linked  to  external  websites,  like  DBPedia,  when  appropriate.  This  removes   ambiguity  when  talking  about  things  (e.g.  “Apple”  –  the  fruit  or  the  manufacturer  of  iPads  ?)   and  can  allow  cross-­‐site  query  capability:   © 2013 IBM Corporation
  • 16. IBM Open Data Linked Open Data - Continued Metadata is linked to external vocabularies, like IPSV, when appropriate. This allows cross linking to other open data sites that use the same vocabularies: © 2013 IBM Corporation
  • 17. IBM Open Data Online mapping of files with geospatial fields Files  that  contain  geospa=al  informa=on  such  as  longitude  and  la=tude  can  be  mapped   automa=cally  :   © 2013 IBM Corporation
  • 18. IBM Open Data Example ReasonableCity Problem   How  can  we  provide  City  decision  makers  with  explana=ons  and  diagnoses   for  events  by  applying  machine  reasoning  techniques  to  a  fusion  of   massive,  rich,  complex  and  dynamic  data?  How  can  we  move  from   explana=on  to  predic=on?   Challenges   •  Iden?fying  relevant  data  and  informa=on   •  Capturing  and  represen?ng  anomalies   •  Correla?ng  knowledge  on  heterogeneous  data  sources   •  Advanced  fusion  of  data   Goals   •  Iden=fica=on  of  the  nature  and  cause  of  changes   •  Explaining  logical  connec?on  of  knowledge  across  space  and  =me   •  Move  from  explana=on  to  predic=on   Detection to Diagnosis? Anomaly Detected: Delayed buses, congested roads © 2013 IBM Corporation
  • 19. IBM Open Data Next steps: Gov2Gov and beyond And there certainlyinterest in interest in Dublinked There is very broad is broad Dublinked Property management Commercial valuations and rates Business & Retail Housing Tourism Mapping Events Pool resources Share results Demographics Heritage Environment Crime Waste Collection Health Fault Reporting Water Transport & Access Planning © 2013 IBM Corporation © 2010 IBM Corporation
  • 20. IBM Open Data Emerging Business Models, examples •  Premium Product / Service. HospitalRegisters.com •  Freemium Product / Service. public transportation in urban areas. •  Open Source. OpenCorporates and OpenPolis •  Infrastructural Razor & Blades. Public Data Sets on Amazon Web Service •  Demand-Oriented Platform. DataMarket and Infochimps •  Supply-Oriented Platform. Socrata and Microsoft Open Government Data Initiative •  Free, as Branded Advertising. IBM City Forward, IBM Many Eyes or Google Public Data Explorer •  White-Label Development.. This business model has not consolidated yet, but some embryonic attempts seem to be particularly promising. Source: Business Model & Policy Innovation Unit at the Istituto Superiore Mario Boella © 2013 IBM Corporation
  • 21. IBM Open Data Dublinked membership fee structure © 2013 IBM Corporation
  • 22. IBM Open Data Next steps Dublinked & Social Program Data: –  Release non-sensitive social data to Dublinked –  For example, Housing Stock data –  Research on anonymisation & privacy Research for Smarter Social Programs (outside Dublinked) –  Multilevel analysis of high-cost/high-need regions and citizens •  Identify regions where service providers are overloaded or inaccessible •  Recommend alternative service providers to balance demand •  Forecast regions that will become problematic –  Identifying patterns to provide recommendations for interventions •  Identify patterns for those that are chronically homeless •  Highlight those that are identified as returning to recommend intervention –  Forecasting future requirements and emerging ‘hot spots’ •  Are risk factors, such as substance abuse, propagated through the social graph? •  Are social costs  propagated  through  the  social  or  spa=al  graph?     © 2013 IBM Corporation
  • 23. IBM Open Data How to open up data •  Collect the data together into a single file or set of files. •  Resolve any licensing conflicts; for instance, different parts of the same dataset may be owned by different parties. •  Choose an open data license, such as the Open Data Commons Attribution License. Alternatives, including share-alike licenses are available from the Open Data Commons site. •  Upload the data to a publicly-accessible part of your website. Registration should not be required to access the data. •  Include the following information along with the data: •  License details (from step 3) •  Technical details of the format that the data is stored in. Note that this does not need to be a standard format, as long as you can explain it to users, but it should not be in formats that require proprietary software to use (such as XLS), or in non-machine- readable formats (such as PDF). •  Details of when the data was last updated, and will be updated next. •  Provenance of the data, including details of original creator. •  Methodology information, such as how data was collected, calibrated, and transformed prior to upload. (credit: http://opendatahandbook.org) © 2013 IBM Corporation
  • 24. IBM Open Data Open data is ‘just’ data, but there are a few new considerations Most current To date Open Open Data is by Open Data can Open Data is Open Data Open Data sets Data has been its very nature come from part of a represents a are not that mostly static ,but diverse in anywhere with spectrum of value migration large, but they real-time data content, format no guarantees visibility Most from the data are growing streams growing and semantic about quality or orgs have a mix itself to higher (e.g.. COSM) and can be authenticity of data from value analytics linked private to open and service Big  Data   Volume   Velocity   Variety   Veracity   Visibility   Value   Data  at   Data  in   Data  in                                   Data  in   Data  in           Data  of   Rest   Mo?on   Many  Forms   Doubt   the  Open   Many  Values   Terabytes to Streaming data, Uncertainty due to Structured, Open data is exabytes of milliseconds to data inconsistency Large range of data unstructured, generally open to existing data to seconds to & incompleteness, values from free text, multimedia anyone. Which process respond ambiguities, (data philanthropy raises issues of latency, deception, to high value privacy. Security model monetization and provenance approximations Big Data + Open Data + Co-Creation = New opportunities © 2013 IBM Corporation 24
  • 25. IBM Open Data The technology; Conceptual roadmap for the system Open Innovation Portal Publication & Annotation Privacy & Security Challenges include .. Scalable privacy and security of resources Catalog & Navigation Search & Query Automated assimilation and sharing of resources Knowledge Representation & Visualization & Analytics Reasoning Robust models to organize and represent resources and their context Open REST Web Services API Represent knowledge efficiently for continuous machine reasoning and diagnosis Enterprise Platform IBM IOC IBM Connections Compose resources for development, mash-up & Interaction with Industry Solutions Content Sharing & Collaboration visualization IBM Enterprise Cloud Scalable compute, storage & network infrastructure Key IBM Research IBM Products & Services Dublin Provider Enterprise Citizen City 1…N Partners & People © 2013 IBM Corporation © 2010 IBM Corporation
  • 26. IBM Open Data IBM have the technologies to deliver a scalable and robust Open Data platform Value Proposition: •  IBM has the strength & depth of technology to help clients exploit Open Data as a Strategic Information Asset •  We can bring a robust Data lifecycle management & governance ( trust, privacy, . ) approach to Open Data, This is key ! IBM have technologies needed e.g. : •  Information Server for data quality •  Vivisimo (for linked data access ) & Initiate for federated Master Data Management •  Guardium for privacy management and Optim for application archive •  Infosphere Streams for Data-in-Motion •  BigInsights Hadoop-based analysis •  New Cloud-hosted spreadsheet functionality © 2013 IBM Corporation 26
  • 27. IBM Open Data Having opened up – now what? •  Tell the world! •  Understanding your audience •  Post your material on third-party sites •  Making your communications more social-media friendly •  Social media •  Engage the publich: •  Unconferences, Meetups and Barcamps •  Making things! Challenges, requests, hackdays, prizes and prototypes •  (credits: http://opendatahandbook.org) © 2013 IBM Corporation
  • 28. IBM Open Data Anders  Quitzau,  Innova=on  Execu=ve  –  andersq@dk.ibm.com   Peter  Lange,  CTO  IBM  Smarter  Ci=es  –  petlan@dk.ibm.com   © 2013 IBM Corporation