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. • ...
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
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
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.