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 8: Exposing GUF Metadata as DUV in the GeoDCAT-ap Output of GeoNetwork

TEAM LEADER: Paul van Genuchten

TEAM MEMBERS: Looking for organisations that have GUF metadata (or other User Feedback on datasets)

PROJECT IDEA: In the scope of ‘ELISE tools’ the GUF (http://www.opengeospatial.org/standards/guf) schema has recently been added to GeoNetwork (https://github.com/metadata101/guf10). GUF allows to store User Feedback linked to datasets. W3C has released a DUV schema (https://www.w3.org/TR/vocab-duv) for User Feedback that links into DCAT. Goal of this project is to develop a DUV export of GUF as part of the GeoDCAT-ap export capability of GeoNetwork. And if feasible also create a schema.org/review output as part of the schema.org/Dataset annotations in the metadata HTML visualisation.

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 (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.

This work builds on this project https://github.com/geonetwork/core-geonetwork/wiki/Use-iso19110-in-GetFeatureinfo-response-visualisation

PoliVisu Data Literacy Survey

With the Data Literacy Survey, the PoliVisu project team aims to collect EU-wide evidence on the current level of knowledge and understanding of the use of data (and particularly big data) by public authorities and their service organisations.  This questionnaire focuses on the use of big data for policy making and experimentation, with a specific focus – but not limited to – the mobility and transportation domain.

The results of this survey will be processed anonymously. The report will discuss only aggregated outcomes.​

If you are interested in the results of this survey and the PoliVisu project, join the PoliVisu mailing list here.