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Open Data at HSL

Tuukka Hastrup
May 07, 2015
96

Open Data at HSL

Presentation at Data Science seminar

Tuukka Hastrup

May 07, 2015
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Transcript

  1. Motivations for Open Data • Openness makes data storage and

    distribution easier. − Less friction even for formal and internal use! • We have the resources for what's necessary, not what all's interesting and potentially valuable. • Anyone can invent new ways to analyse and use the data. • Support and take advantage of learning and research. • Data science needs data. • ...
  2. Open Data from HSL • Journey Planner • Live data

    from trams, metro, and Helmi bus lines • Disruption information and traffic news • Map data (GIS) • AstyWeb • … • What should we open next?
  3. Routes Schedules Analyses Basic service Applications and services Quality monitoring

    Traffic planning Tools and examples Transport data: production, APIs and utilisation Open Data Novel services Responsibility of the authorities Third parties Disruptions Forecasts Vehicle locations
  4. Open Data outside HSL – combine! • Helsinki Region Environmental

    Services HSY • National Land Survey (Maanmittauslaitos) • Finnish Meteorological Institute (Ilmatieteenlaitos) • Finnish Transport Agency (Liikennevirasto) • Statistics Finland (Tilastokeskus) • OpenStreetMap, ”the Wikipedia of map data” Data catalogs: • Helsinki Region Infoshare HRI.fi • Opendata.fi
  5. How to get more use and more value? • Open

    more, easier-to-use and better-quality data. • Advertise availability of data (data catalogs, hackathons). • Provide examples of what can be made. • Provide tutorials for getting started when you're new to: − Dataset, public transport or data analysis • Describe some currently known goals and ideas. • Listen to feedback, engage in dialogue. • Follow results and new ideas. • Advertise advances.