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Hri in english-generic-2011
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Hri in english-generic-2011


Helsinki Region Infoshare generic presentation in English 2011.

Helsinki Region Infoshare generic presentation in English 2011.

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  • -Government efficiency: 1) Increasing data openness makes it easier to use for other government agencies, too. 2) Harmonizing information management practices brings economies of scale and makes knowledge transfer between organizations easier. 3) Saving time for everyone. -Business and innovation: 1) Giving access to government data for free is good for companies. It breeds new markets and supports innovation. 2) Better services for citizens, 3) For example, new ways to use information have many times been found by people who have a different educational background compared to the usual users. -Transparency and democracy: 1) Open data supports active citizenship, research and journalism by increasing transparency. 2) For example, it facilitates discussions in social media by making it easier to reference to government information. -> good example in Finland is what Helsingin Sanomat mediacompany did with their parliamentary election with their “election machine” -> opened that data, bred lots of applications, visualizations and discussion


  • 1. Helsinki Region Infoshare – Open Regional Data for All Project Manager Ville Meloni Forum Virium Helsinki September 2011
  • 2. Project Overview 07.11.11 Forum Virium Helsinki “ Making regional information quickly and easily accessible to all. The information can be used freely at no cost ” To develop a network of information owners who maintain and open their data following common guidelines. To build a web service through which the data can be easily found, accessed and utilised. Provide information as machine readable ” raw data ” which is easy to utilize in various applications and web-services. To pilot an open data activity model and its implications to both the producers and end users of the data.
  • 3. Timeline, financing, implementation 07.11.11 Forum Virium Helsinki Collaboration with many different organisations to open data i.e. government, other municipalities, municipal organizations, etc.
    • Financing
    • Helsinki, Espoo, Vantaa, Kauniainen
    • Finnish innovation fund (Sitra)
    • Ministry of Finance
    • Implementation
    • Directive board
    • City of Helsinki Urban Facts
    • Forum Virium Helsinki
    Timeline 2010-2012 (pilot) 2012- (on-going function) Collaboration between data producers and developers using that data!
  • 4. Why open data ?
    • Government efficiency
    • Business and innovation
    • Transparency and democracy
  • 5. What data is opened ?
    • Statistics and estimates
      • Urban phenomenon: demographics, employment, housing, commuting, etc.
      • Geographical granularity: municipal, district, grid-level, etc.
    • Geospatial data
      • Data that supports presentation of statistical and other data on a map, i.e. district-level shapefiles.
    • Other data
      • Public services, mass-transportation, infrastructure related data, etc.
  • 6. HRI-Open data operational model 07.11.11 Forum Virium Helsinki PHASED APPROACH CLEARING HOUSE END-USERS DISTRI-BUTION Public data /producers and sources HELSINKI REGION INFOSHARE
    • Maintenance of the web service
    • Collecting users feedback
    • Updating of data catalogs
    • Definition of HRI data -criteria, information policy and principles, …, licensing
    • Support to data providers
    Production, maintenance, provision according to agreed rules and legal framework
    • Employees of the municipalities
    • State government
    • Enterprises
    • Research and education
    • Citizens
    ” www. ” ” extra.”
    • Data Catalogs
    • (data + metadata)
    • Criteria and instructions
    • Tools to open the data
    • Feedback
    • Data Catalogs
    • Feedback on data
    • Feedback on the service
  • 7.
    • ” Easy to find, access and utilize data ”
    • Maintaining of the metadata. Actual data is hosted elsewhere.
    • A channel for data users to give feedback and request new data.
    • Brings visibility to existing data pools and encourages more usage.
    • Open for all : companies, citizends, municipal administration, research institutions, etc. -web-service
  • 8. -web-service Data-search, access, feedback, rating and discussions News about project progress , experiences from different stakeholders
  • 9. Application Examples - Statistics Visualization of statistics with Google motion chart.
  • 10. Application Examples - Geodata Helsinki metropolitan area shapefiles (KML) in use on top of Open Streetmap
  • 11. Application Examples – Library data Data: HelMet-library-barcode reader by Jaakko Rajaniemi
  • 12. Application Examples – Public Transport Data: Source: ReittiGPS – Markus Halttunen
  • 13. – experimenting with linked open data (lod) and statistics
    • Experimental service. Includes Helsinki metropolitan area statistics in a semantic RDF-database. Source statistics from (PC-Axis).
    • To pilot and understand the possibilities of lod and statistical data in terms of compatibility and linkages to external data sources.
    • Application programming interfaces aimed for developers who are interested in using statistical data for various applications and analysis.
    • SPARQL ja HTTP GET interfaces.
    • Example applications.
  • 14. Project focus areas 2011
    • Further development of the service
    • Establishing the HRI-function (people, processes, guidelines, etc.)
    • More open data, better open data , wider scope of open data, inter-usability of data!
    • Encouraging the usage of the data , application competitions for developers, co-operation with companies, universities, etc. that want to use it. Apps4Finland2011 ( IBM Smarter Cities Challenge in Helsinki. Preparing for WDC Helsinki 2012.
    • National and international co-operation related especially to: legal issues, operational best-practices and metadata interoperability.
    07.11.11 Forum Virium Helsinki
  • 15. Some experiences & lessons learned
    • Open data is not (foremost) a technical thing
    • Mindset, methods, mandate
    • Start quickly with what you have
    • “ Raw data now” vs. “let’s wait for 2 years until our systems and all the data is harmonized”
    • Focus on ecosystem and community building
    • Helping data owners and new kind of users to collaborate and learn from each other is important
  • 16. Thank you !
    Ville Meloni Forum Virium Helsinki Project Manager [email_address]