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Title: AN OPEN DATA CROWDSOURCING APPROACH FOR ENVIRONMENTAL NOISE POLLUTION MAPPING
AN OPEN DATA CROWDSOURCING APPROACH FOR ENVIRONMENTAL NOISE POLLUTION MAPPING

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Iva Cibilic; Ana Kuvezdic Divjak; Vesna Posloncec-Petric
10.5593/sgem2022V/4.2/s19.21
10.5593/sgem2022V/4.2
1314-2704
978-619-7603-50-7
English
22
4.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Air Pollution and Climate Change
Open data is undoubtedly one of the most exciting innovations of the last decade. Data that can be (re)used freely and without restrictions is a key driver for achieving many environmental goals. Through the use of open crowdsourcing tools, noise monitoring is enabled by the active participation of citizens who measure noise and thus contribute to the creation of a dynamic noise map. This is consistent with the lifecycle of open data - the design of the process and practices for handling data from its creation, to the provision of open data, to its use by various parties. By participating in the crowdsourcing processes, users act as both consumers and providers of data; with enhanced capabilities of data users, such as commenting, rating, processing, or customizing to their specific needs; and then publishing new versions of the same or their own new datasets. In this way, better communication and collaboration between data users and data providers creates another root for a sustainable ecosystem by closing information and evaluation loops by supporting a broader range of use cases in services and applications on ecological issues.
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This research is part of the Twinning Open Data Operational project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 857592.
conference
https://doi.org/10.5593/sgem2022V/4.2/s19.21
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 06-08 December, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
169-176
06-08 December, 2022
website
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noise pollution, open data ecosystem, environment management, crowdsourcing