Public spaces and resource reservation methods was the theme of first Helsinki Loves Developers open data open office in 2017. Participants brainstormed improvements to data collection methods and discussed methods for optimising collected information of available public spaces.
“We hope that Infopankki materials will be used to create applications that serve the information needs of immigrants in different languages.
One of the main target groups of Helsinki Region Infoshare service is definitely students. HRI has had good cooperation with the Universities and Universities of Applied Sciences in Helsinki Region during the last years. This autumn HRI had a great cooperation with the Application Development Project course organized by the Metropolia University of Applied Science. The aim of this course is to create a proven business case with the developed application. The contribution of HRI was to enhance the utilization of open data in these business cases and applications.
Now it’s the perfect time to grasp the many opportunities on offer from the six largest cities in Finland (Helsinki, Espoo, Vantaa, Tampere, Turku, Oulu)!
Your business already has completely free access to datasets opened up by the six largest Finnish cities and other public administrative bodies.
The six largest cities in Finland (Helsinki, Espoo, Vantaa, Tampere, Turku and Oulu) want to support the development of new user based services by arranging an open data innovation competition.
A semantic city information model is more than a three-dimensional image on a computer screen. The model objects contain property data about themselves. By means of semantics, the computer understands, for example, which elements describe the roof or walls of the building.
As most of us know, coding is a busy business. New ideas, feature requests, crucial hotfixes, standard bugfixes and a number of other issues pile up in addition to planned projects and sprints. Therefore, when developing an API for your own use, you are usually satisfied once you get it to work the way you want, and move on to the next pressing thing to do. After all, we are using our own API, why should we bother with systematic specification and documentation of the features we know and are able to check from the source code whenever we want?
At the start of the year, HRI began the large task of clarifying the contents of its data catalog, which involved combing through smaller datasets and combining them into larger packages.
Rufus Pollock from Open Knowledge Foundation visited our Helsinki ❤︎ Developers meeting during OKF’s MyData conference. He introduced us to the idea of frictionless data; making open data easier to discover, use and understand. Basically is a way to describe data using machine readable, yet lightweight and even human writable format based on JSON and bundles it alongside a universally supported format for data: comma separated file, CSV.