Mathematical modeling software, such e.g. Software R, MathLab, …
Earth Observation data processing software, such as Goolge Earth Engine, OrfeoToolbox, …
Spreadsheets, such as google docs, Libre Office, Microsoft Office, …
Where should I document my progress?
There is a google document dedicated to the detailed description of your team. You should shortly introduce your team, describe the initial idea and keep track of your progress. You can use either the one document prepared for all teams together or you can create your own document and link it in the parent doc.
How can I provide my feedback?
There is a form prepared for your feedback. You can either provide feedback on behalf of the team together or you can give us your personal feedback. Please fill at least one feedback per team until the end of Friday. But you can fill the feedback continuously during the hackathon, as once you fill it for the first time, you are provided with a link to edit your feedback anytime.
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 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 (https://github.com/inspire-eu-rdf/inspire-rdf-vocabularies) 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.