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Development of a national Spatial Data Infrastructure for Open Sensor Data based on citizen science initiatives

Linda Carton, Paul Geurts, Just van den Broecke, Janus Hoeks, Michel Grothe, Robert Kieboom, Hester Volten, Jene van der Heide, Marga Jacobs and Piet Biemans

(Submission #363)


Abstract

This paper presents the development, use, and follow-up actions in the Netherlands regarding the development of a Spatial Data Infrastructure for Open Sensor Data, in particular sensor data from low-cost air quality and noise sensors. In the Netherlands, a number of citizen science pilot projects have been carried out for measuring air quality and/or noise levels with low-cost, small sensors. In one of these projects, Smart Emission, the explicit aim has been to develop Open Data using standards for interoperability, and to develop a “horizontal” mode of working: this means, instead of having one party with expertise in one particular environmental phenomenon, who then collects and processes his/her specialized analysis results in a particular vertical “silo”, in this Smart Emission project, tasks were divided horizontally along the processing chain of monitoring, collecting data, processing data, publishing data, and viewing and analyzing all the sensor data in parallel. At the basis were citizen scientists (part A), engaged in a working group of active citizens, who are the “end user” in the project. Citizens have grouped themselves around particular practical use cases. In the second part of the data chain, part B, a firm dedicated to hardware for sensor stations, Intemo, collected the data of various environmental indicators with a new sensor platform, which includes various types of sensing devices. Part C, built by experts from Geonovum, is the phase in the data chain where the data has been processed in a Smart Emission Data Platform: here, the data has been stored and refined into widely used data standards for the particular environmental indicator.. The data are then, part D in the data processing chain, published in a number of formats through Application Programming Interfaces, based on standards such as the SOS and SensorThings API. In part E in the data information chain, a number of “Viewers” have been created, with maps and mapped data that were visualized for use by the involved citizen scientists, researchers and students. After the pilot project Smart Emission had finished, the National Cadaster has adopted the publically developed Smart Emission Data Platform, in order to continue experiments and research into sensor data infrastructures. By integrating sensor data from individual “silos” into a coherent network of (standardized) sensor data, an interoperable environmental measurement network of sensor systems can emerge, with city-based citizen science sensing networks monitoring enviromental dynamics like urban air quality and noise patterns.

Categories

Topic Area:  [1.5] Public participation and active dissemination of information – citizen science and VGI
Abstract Type:  Oral Presentation

Additional Fields

 
Academic:   Yes
 
Data Provider:   No
 
Data User:   Yes
 
INSPIRE Implementer (IT):   No
 
INSPIRE newbies:   Yes
 
Policy Officers:   Yes
 
Public Administration (MS/Regional/Local):   Yes
 
Thematic specialists:   Yes
 
Other_theme:   API developers, environmental sensor data providers and users
 
Comments:   Citizen Science, Voluntary environmental monitoring, Sensor Data Infrastructure, Spatial Data Standards, fit-for-purpose sensor data, Map Viewers, Use Cases.


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