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Presenting quality information: From dataset quality to individual sample.

Joan Maso, Lucy Bastin, Stefano Nativi, Jon Blower and Miquel Ninyerola

(Submission #194)


Information about data quality is regularly created by official producers of geospatial data and by scientists who process and derive new datasets. Unfortunately this information takes a number of different forms whose formats are inhomogeneous, making comparison difficult. More tools are needed. From the producer side, there is a need to simplify the creation of quality descriptions without compromising detail. From the user side, the identification of datasets that fit a user’s purpose can be achieved by allowing metadata inter-comparison, quality labels, data discovery using quality thresholds refinement of search results and common visualization techniques.

This workshop will discuss a INSPIRE perspective in data quality by analyzing the outcomes of the GeoViQua FP7 project which aims to add rigorous data quality representations to existing search and visualization in the GEO Portal functionalities of the Global Earth Observation System of Systems (GEOSS): (a) a quality framework that enhances producer metadata, and proposes the addition of user feedback. (b) a quality-aware discovery service, namely a quality-aware extension of the OGC CSW (c) visualization of quality using WMS-Q (d) a GEO Label as a graphical representation of that dataset quality in the GEOSS. (d) A user feedback catalogue where users can introduce comments, citations, discovered issues, ratings and reports of usage. (e) Some enhancements in metadata presentation.

Conclusions of the workshop will serve to improve quality descriptions in both the INSPIRE and GEOSS initiatives.


Technologies required to deliver INSPIRE
Earth Observation (Copenicus [GMES], GEOSS..)
Lessons learnt and best practice


[Abstract (DOC)]  

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