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Open Data, VGI and Citizen Observatories INSPIRE Hackathon / Karel Charvat in International Journal of Spatial Data Infrastructures Research, vol 13 (Year 2018)
[article]
Titre : Open Data, VGI and Citizen Observatories INSPIRE Hackathon Type de document : Article/Communication Auteurs : Karel Charvat, Auteur ; Bente Lilja Bye, Auteur ; Tomas Mildorf, Auteur ; Arne J. Berre, Auteur ; Karel Jedlička, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données localisées des bénévoles
[Termes IGN] données ouvertes
[Termes IGN] INSPIRERésumé : (Auteur) 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. Numéro de notice : A2018-640 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.2902/1725-0463.2018.13.art11 En ligne : http://dx.doi.org/10.2902/1725-0463.2018.13.art11 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93301
in International Journal of Spatial Data Infrastructures Research > vol 13 (Year 2018)[article]