PROJECT IDEA: The idea is to explore which data provided by CMEMS could be of use in DataBio fishing pilot and in which way they could be used (it is important to be able to search the data by their metadata – dataset name, time extent, spatial extent etc..).
The task will logically follow the efforts, that were made during Prague hackathon in January.
PROJECT IDEA: The idea is to create metadata for the Open Land Use map for the all european municipalities (currently in the metadata catalogue: https://micka.lesprojekt.cz are only nuts regions and municipalities in Austria, Czech Republic and Flanders region of Belgium). As well as creating new metadata there will be made some refinement of the metadata based on this document, that is written by metadata experts.
As it is possible to output metadata according to GeoDCAT-AP standard (see this example) – the metadata can be used for testing in NextGeoss CKAN Data Hub by team 2.2.
PROJECT IDEA: In the Pilsen hackathon a first extension for CKAN was coded to integrate the NiMMbus user feedback system of the University of Barcelona for spatial datasets. Goal of the project is to test the maturity to make it generally available.
(Must be checked before with Jovanka after 26th of February, 2018, and UAB
PROJECT IDEA: The traditional metadata standards like Dublin Core, CDAT, GeoDCAT or ISO have limited schemas which are not sufficient for communities like climate or biodiversity researchers with their Essential Climate Variables or their Essential Biodiversity Variables (EVB.
Goal of the project is a proof of concept to enrich traditional metadata standards with the CKAN “system fields” mechanism so that
sources get additional information for EBV metadata while harvesting
harvested metadata can be filtered by EV content
APIs like OpenSearch can provide additional search criteria from the harvested EBVs
TEAM LEADER: Wolfgang Ksoll (Viderum/NextGEOSS data hub/Berlin)
TEAM MEMBERS: Marek Splichal, Stepan Kafka, Tomas Reznik
PROJECT IDEA: Today the data hub of NextGEOSS harvests metadata from sources on a proprietary basis where connectors are programmed to harvest e.g. from different sources of the Copernicus Sentinel missions as they are provided and can be searched in the data hub with a web interface or with programmatic interface like some NextGEOSS pilot projects do.
The task of the project is to apply the GeoDCAT-CKAN-extension to a test version of the NextGEOSS data hub und to study the consequences:
harvesting GeoDCAT metadata
searching in the hub webbased
searching with OpenSearch interface
new possibilities and access points with RDF and step in the door of the semantic web world
TEAM LEADER: Tomáš ŘEZNÍK (Masaryk University/Lesprojekt/Wirelessinfo/HSRS)
TEAM MEMBERS: Šimon LEITGEB (Masaryk University/Lesprojekt/Wirelessinfo), Štěpán KAFKA (HSRS), Karel CHARVÁT (Plan4All/Lesprojekt/Wirelessinfo/HSRS), other participants are warmly welcomed
PROJECT IDEA: Discoverability of geospatial data and services (aka resources) has been considerably improved during the last decade as several catalogues have been developed, fulfilled with metadata and being in daily use for many users. Nevertheless, it means that a user typically works with her/his GIS system and opens a catalogue as a specialized application. Such paradigm may suit to geospatial experts.
On the contrary, a laymen expects one simple tool for maps viewing. (S)he does not like to bother with another application to discover which other geospatial resources are available for a currently zoomed area.
The aim of this team is therefore to develop an easy-to-use satellite images discovery integrated directly in a map viewer. We intentionally do not use the term ‘catalogue’ as (1) we would like to erase borders between data and metadata in our application and (2) we would like to retain catalogues in a way they are.
Relevant resources to a currently zoomed area will appear through links to satellite programmes’ APIs, such as Copernicus’ Open Access Hub. The developed application will be based on OpenLayers 4-based framework called HSLayers NG (see https://github.com/hslayers/hslayers-ng).
Plan4all and the Open Geospatial Consortium (OGC) in cooperation with the DataBio, NextGEOSS, PoliVisu and EUXDAT projects cordially invite you to the next satellite INSPIRE hackathon that will take place during the OGC Technical Committee meeting in Orléans (France) on 22nd March 2018.
The 2018 edition of the INSPIRE conference will take place in Antwerp, Belgium, 18-21 September. The motto of this years’ event is INSPIRE users: Make it work together!
The European INSPIRE Directive leads to a digital highway for sharing information on Europe’s environment. Member states are rapidly extending this network to reach all levels of government and application areas beyond the environment. Now that we have this essential European facility in place, we can exploit it to the full to support the digital transformation of European society.
The call for submissions is organised in 3 strands:
INSPIRE the Users: In this strand special attention goes to inspiring the usage and users of INSPIRE. Both public and private parties are invited to share their experiences with creating applications that benefit from INSPIRE.
Doing it Together: This strand is dedicated to ‘cooperation’. We are looking for examples where the cooperation between public and/or private sector organisations and programmes has been successfully developed to support the implementation of INSPIRE.
Making it work: The strand adressess a more technical approach to ‘make it work’. We are calling for submissions where implementation issues have been identified and where the source of the problems has been – or needs to be – addressed (e.g. Simplifications encoding, Automatisations, quality assessment, etc.).
The call for submissions to the 2018 INSPIRE conference is now open: come and be part of this European success story!
The jury members Marie-Françoise Voidrot (Open Geospatial Consortium), Martin Pelikan (Czech University of Life Sciences in Prague) and Ondrej Svab (Czech Ministry of Transport) awarded the following winning teams:
1st place: Big Data for Fishery by Karel Jedlicka, Dmitrij Kozuch, Petr Uhlir
2nd place: Extension and Enrichment of SPOI Knowledge Base by Raul Palma, Otakar Čerba, Stein Runar Bergheim, Raitis Berzins
3rd place: To Determine Fertilization Timing by Marcela Doubkova, Apurva Kochar, Karel Jedlička, Karl Gutbrod, Vojtech Lukas, Michal Kraus