Like most websites, we use cookies on the site to provide you with the best experience possible. Click here to see our terms and conditions, or click Agree to hide this notice.

Agree

Integrating statistical and geospatial data from two organisations with linked data methods



The business environment of National Statistical Offices is changing: in a more disruptive environment than before, our customers require timely data combined in a new way and delivered also as open data. Moreover, we can no longer see our customers as being only our customers: we operate in information ecosystems where we must consider the other actors as well, in order to create a satisfying experience for the users of the data products we disseminate. Different kind of techniques and technologies can actually deliver various possibilities in serving our customers. They can also affect and reform the responsibilities and distribution of work between different organisations.

At Statistics Finland, we have experimented with linked data technologies in a couple of projects. In a Eurostat Grant project called IGALOD, our case was to unite statistical and geospatial data produced in two different organizations with these technologies. The project has been carried out together with the National Land Survey of Finland (NLS).

The practical aim was to integrate the geospatial classifications provided by Statistics Finland with the geographical data created by NLS Finland. In our solution the idea is to transform the geospatial classifications and corresponding geometries into RDF format and unite this data produced by two different organisations with their identifiers. We acknowledged the important international frameworks and standards (GSBPM, GSIM, INSPIRE, XKOS) in this work. We publish the data as Linked Open Data to give external users possibilities to utilise it freely.





 

Start date: Thursday, 10 October 2019  |  End date: Friday, 11 October 2019

Register now