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An integrated view of data quality in Earth observation

Yang, X., Blower, J.D., Bastin, L., Lush, V., Zabala, A., Maso, J., Cornford, D., Diaz, P. and Lumsden, J. (2012) An integrated view of data quality in Earth observation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371 (1983). 20120072. ISSN 1364-503X (Special Issue S1)

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To link to this article DOI: 10.1098/rsta.2012.0072


Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and cannot fulfil all user needs or cover all concepts of data quality. In this study, we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specifications on data quality, and propose an integrated model for data quality in the field of Earth observation (EO). We also propose a practical mechanism for applying the integrated quality information model to a large number of datasets through metadata inheritance. While our data quality management approach is in the domain of EO, we believe that the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.

Item Type:Article
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre
ID Code:30716
Uncontrolled Keywords:data quality, uncertainty, environmental informatics, Earth observation, provenance, metadata
Publisher:Royal Society

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