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Bocher E, Petit G, Fortin N, Picaut J, Guillaume G, Palominos S.2016. OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements. PeerJ Preprints4:e2273v2https://doi.org/10.7287/peerj.preprints.2273v2
The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.
This is an article intended for the OGRS2016 Collection. A conclusion has been added to respond to the reviewer.
Interesting project and implementation. It seems you did focus on a post-processing technique to control the validity of a volunteer contribution. I suggest that you also consider UX/UI techniques so as to guide the volunteer to be in the best conditions for capturing a high quality measurement (e.g. at least display your checklist on the screen at the right moment during the interaction process). Also, as an example, you may better show to the user that the current position is not accurate. You may also consider a too high speed to reject the measure. There are probably many techniques that would be relevant in your case. User engagement is related to interface design quality. It is a challenge that has been presented by Jens Ingensand during the OGRS216, "Keys to successful scientific VGI projects".