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ISPRS Int. J. Geo-Inf. 2015, 4(3), 1346-1365; doi:10.3390/ijgi4031346

Q-SOS—A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data

1
Institute for Bio- and Geosciences, Agrosphere Institute, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
2
North GmbH, Martin-Luther-King-Weg 24, 48155 Münster, Germany
Current Affiliation: CSIRO Mineral Resources Flagship, PO Box 1130, Bentley, WA 6102, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Serena Coetzee, Barend Kobben and Wolfgang Kainz
Received: 25 February 2015 / Revised: 9 July 2015 / Accepted: 30 July 2015 / Published: 10 August 2015
(This article belongs to the Special Issue Open Geospatial Science and Applications)
View Full-Text   |   Download PDF [10599 KB, uploaded 10 August 2015]   |  

Abstract

The worldwide Sensor Web comprises observation data from diverse sources. Each data provider may process and assess datasets differently before making them available online. This information is often invisible to end users. Therefore, publishing observation data with quality descriptions is vital as it helps users to assess the suitability of data for their applications. It is also important to capture contextual information concerning data quality such as provenance to trace back incorrect data to its origins. In the Open Geospatial Consortium (OGC)’s Sensor Web Enablement (SWE) framework, there is no sufficiently and practically applicable approach how these aspects can be systematically represented and made accessible. This paper presents Q-SOS—an extension of the OGC’s Sensor Observation Service (SOS) that supports retrieval of observation data together with quality descriptions. These descriptions are represented in an observation data model covering various aspects of data quality assessment. The service and the data model have been developed based on open standards and open source tools, and are productively being used to share observation data from the TERENO observatory infrastructure. We discuss the advantages of deploying the presented solutions from data provider and consumer viewpoints. Enhancements applied to the related open-source developments are also introduced. View Full-Text
Keywords: quality control; data quality assessment; provenance; sensor web; sensor observation service; environmental observatories; TERENO quality control; data quality assessment; provenance; sensor web; sensor observation service; environmental observatories; TERENO
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Devaraju, A.; Jirka, S.; Kunkel, R.; Sorg, J. Q-SOS—A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data. ISPRS Int. J. Geo-Inf. 2015, 4, 1346-1365.

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