In 2016, the INSPIRE Conference hosted the first INSPIRE hackathon on volunteered geographic information and citizen observatories, also known as the INSPIRE Hackathon. The organisers, mostly representatives of European research and innovation projects, continued this activity with the next INSPIRE Conference in 2017. The INSPIRE Hackathon is a collaborative event for developers, researchers, designers and others interested in open data, volunteered geographic information and citizen observatories. The main driving force for the INSPIRE Hackathon is provided by experts from existing EU projects, and its primary objective is to share knowledge and experience between the participants and demonstrate to wider audiences the power of data and information supported by modern technologies and common standards, originating from INSPIRE, Copernicus, GEOSS and other initiatives. This paper describes the history and background of the INSPIRE Hackathon, the various INSPIRE-related hackathons already organised, supporting projects, the results of INSPIRE Hackathon 2017 and the authors’ vision of future activities.
The atlas aims to inform professionals, laymen and especially general public about the state of the environment in the Liberec Region, about its changes in the last period and, in some aspects, about the expected development in the future. The portal uses the concept of map compositions that can be embedded into any HTML page.
You can test some geographically oriented games.
The solution is only in Czech, but the idea is to translate it to other languages in the future.
The atlas accompanies the printed publication the Atlas of the Liberec Region issued in 2008. The level of expertise was chosen in such a way that the atlas was beneficial both for laymen and primary school students, as well as for professionals and general public and for secondary and university students. Each map or table is accompanied by information on how up-to-date are the supporting data. The atlas is divided into thematic blocks according to individual environmental areas. You will find suggestions for thinking, the terminology used in the area and the specifics of the Liberec Region.
During the DataBio code camp in Darmstadt (27-29 March 2018) the web map application that displays data from selected WMS Time (WMS-T) services (main physical and bio indicators of the water such as water temperature, water salinity, chlorophyll concentration etc.) from Copernicus Marine Environment Monitoring Services (CMEMS) web-page (http://marine.copernicus.eu) as well as some custom WMS-T services that are needed for DataBio project was created. The application is currently running at http://ng.hslayers.org/examples/databiocc . It is based on the HSLayers.js library (http://ng.hslayers.org/) . This example is a 3d extension of HSLayers which is based on the CESIUM platform.
The application provides an easy visual way to browse the data available at CMEMS web page. For someone it could be a tool to explore and discover something interesting from the maps about the world, and for someone, like, scientists a visual way to explore the data before they decide on whether they would like to go to CMEMS web page and download raw data and use it in their analysis.
Future plans include visualisation of more WMS-T services. Currently displayed WMS-T services from CMEMS have two dimensions in fact time and depth. For now, the user can select only time dimension and the depth is by default set to nearly surface water level. The application could be extended by a slider for the depth level.
PoliVisu, an EU H2020 initiative, is gathering EU-wide evidence on the current level of knowledge and understanding of the use of data – in particular big data – by public authorities and their service organisations.
We want to understand how data is currently used so we can start to develop an easy to adopt framework for using data within current policy-making cycles. The framework aims to make it easier to involve multiple interest groups in local policy-making by showcasing potential impacts of policy options using advanced analytics and visualisations.
Our short questionnaire focuses on the use of big data for policy making and experimentation purposes, within an area of interest that includes but is not limited to mobility and transport.
The survey results will be processed anonymously. The report will discuss only aggregated outcomes.
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: 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 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.