RDA Europe, the European plug-in to the Research Data Alliance, ran the second call for RDA Europe national nodes to expand its European network. Six new countries are joining forces to foster adoption of RDA outputs in the region.
Croatia, Czech Republic, Hungary, Lithuania, Norway and Sweden have been selected as new RDA Europe nodes; till the end of the project in May 2020, they will be engaging with research communities, supporting national agendas, and contributing to the EU Open Science Strategy to ensure capillary uptake of RDA principles and outputs. Moreover, they will be working to increase the participation in RDA globally.
Agriculture address number of technical standardisation effort inside of OGC, we need made link between Agriculture DWG and Technical groups
Key topics recognized during meeting
Semantic, Ontologies and Linked Data (not only Open Linked Data) – in this direction seems to be important build harmonized models for soil and parcels (plot information). JSON formats, WFS 3.0 and other activities has to bee consider
Trust and security of information and methods of data sharing
New visualization methods including 3D
Metadata standard and linkage of metadata and data using new standards GeoDCAT IP, etc., how to search metadata using search engines
IoT technology and standardization in this domain
Maps as object in relation to An Open Format Linking Geospatial Web Services and Information
Mobile access and citizens science methods or VGI methods
Cloud and HPC computing
FAIR data principles
EO is one from key sources of information for agriculture
ISOBUS and standards for machinery monitoring
Current situation in Europe
In Europe is number of large projects, which can contribute to standardization effort
We need use potential of this project to help implementing standards in agriculture
Organize similar event on next TC meeting in Canada with focus on research and commercial activities on Amrerican continent
Build strong link with Asia, Australia and New Zeeland (we had presentation on this meeting)
Organize regular virtual meetings focused on single topics like semantic, IoT and prepare from this meetings suggestion for next TC meetings
Elaborate ideas and look for sponsors for Precision Farmin Test Beds
TEAM LEADER: Peter Haro, SINTEF, peter.haro(at)sintef.no
TEAM MEMBERS: Øystein Knutsen, student, SINTEF, Dmitrij Kožuch, cartographer, GIS specialist, developer, Plan4All association
PROJECT IDEA: The main idea pertains to interconnecting public and private datasets to create better machine learning methodologies and prediction modules for the fishery domain. Furthermore, for this to provide added value for end users in systems such as DSS, big data visualization is a key facet, thus the team will focus on collating data and visualizing it in an effective manner.
TEAM LEADER: Alaitz Zabala, UAB, alaitz.zabala(at)uab.cat
TEAM MEMBERS: Joan Masó, CREAF
PROJECT IDEA: Simplify the inclusion of scientific publications in the Geospatial User Feedback by adding an automatic import from a RIS citation format.
Feedback items related to publications in several elements: publications, reference documents,…
Currently, describing a scientific publication when filling in a Geospatial User Feedback item, means describing much information and even creating new resources (e.g. individual authors). This is currently a manual process, so mistakes can be taken.
As many journals allow describing a citation using standard formats such as RIS, the Geospatial User Feedback system, NiMMbus, can benefit by adding the functionality of automatically importing the RIS citation format. This will lead to the easy creation of new publication citations.
TEAM LEADER: David Kolitzus, GeoVille (email@example.com)
TEAM MEMBERS: Martin Siklar (siklar(at)geoville.com) , Stefanie Rohland (rohland(at)geoville.com), Sigrid Mourits-Andersen (mourits-andersen(at)geoville.com)
PROJECT IDEA: Collect scientific evidence, success stories and related initiatives regarding current Earth Observation (EO) practices to remove or reduce gaps and identify priorities to meet identified key user requirements in the agricultural domain. This will serve as a basis for reaching out to dedicated EU DGs and the respective decision makers to foster the integration of EO data and related technologies in the agriculture sector.
The findings of this hackathon will be developed further and combined with other knowledge hubs.
Team mentors: Marek Splichal, Raitis Berzins, Michal Kepka
Description: For the purposes of this hackathon, Meteoblue data / image / map API for weather forecasts and historic data will be available. The goal of this team is to support integration of these data with HSLayers NG and SensLog and provide climatic services.
The results from the distributed INSPIRE hackathons (Patras DataBio Hackathon 2019 and the Lisbon INSPIRE Hackathon 2019) will be presented at the EuroGEOSS Workshop 2019 in Lisbon, 4th July 2019 at the session Best practices on how to involve users to achieve EO service sustainability (2-3.30pm).
Team mentors: Pavel Hájek, Runar Bergheim, Raul Palma
Description: We would like to inspect opportunities of statistical data across the Europe, in order to explore new, unexpected patterns in data. First of all, any relevant statistical data about demography, agriculture, industry, etc. need to be found and inspected. Then, such data should be consolidated to statistical areas of NUTS3 regions, if they are not already. And finally, appropriate (multi criterion) analysis should be applied that may unveil unusual data patterns and relations.