Copernicus Hackathon in Villorba

Copernicus Hackathon in Villorba (Italy) will be held from 5th until 7th October 2018. For registration and more information, please go to

This is the first Copernicus hackathon funded by the European Commission in Italy.

The Copernicus Hackathon will give you the chance to come together with others and to explore many application fields here on Earth with free and open space data from Copernicus.

Together with other enthusiastic you will get access to Copernicus data, support from mentors and the option to follow several business and technical workshops.

Awards in the amount of 50,000 EUR.

Another Series of the INSPIRE Hackathon Webinars

The organisers of the INSPIRE Hackathon 2018 have prepared another series of webinars. These webinars include:

Wednesday 29 August 2018 at 2.30pm CEST on Open Data Portals & APIs

Thursday 30 August 2018 at 2pm CEST on Smart Points of Interest (SPOI) and Location & APIs – register at

Friday 31 August 2018 at 2pm CEST on APIs for Security & CKAN – register at

Webinar No. 3: Essential Biodiversity Variables and their metadata

Learn about the Essential Biodiversity Variables and their metadata. You’ll meet CKAN based data hub expert Wolfgang Ksoll, Biodiversity experts Stephan Hennekens and Elnaz Neinavaz, Marie-Francoise Voidrot from OGC and expert on standards, and Karel Charvat & Bente Lilja Bye from Plan4All and a number of H2020 projects!

TEAM 7: Light Weighted INSPIRE Harmonization Using Metadata in GeoNetwork

TEAM LEADER: Paul van Genuchten

TEAM MEMBERS: Antonio Cerciello, … I’m looking for organisations that have non-harmonised datasets that are eligible for INSPIRE and are willing to go through a process of harmonisation using this light weighted approach.

PROJECT IDEA: These days many data providers implement INSPIRE data harmonization at the end of the data pipeline. The harmonized data is not used by the organisation itself. This approach has a big risk. In the harmonization process data may get lost or be placed out of context. In this experiment I want to experiment with a light weight harmonization approach based on linked data principles.

The idea is to extend the iso19110 feature catalog metadata of INSPIRE source datasets with references to relevant INSPIRE ontologies ( in such a way that any client software would be able to take the source dataset (as-is) combined with the extended iso19110 metadata to create basic INSPIRE GML.

This work builds on this project